Search

Your search keyword '"Huang, Junjie"' showing total 2,294 results
Start Over Author "Huang, Junjie"
2,294 results on '"Huang, Junjie"'

151. How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

Author

Huang, Junjie, Shen, Huawei, Cao, Qi, Cai, Li, and Cheng, Xueqi

Subjects
Computer Science - Social and Information Networks
Abstract

While online medical crowdfunding achieved tremendous success, quantitative study about whether and how medical crowdfunding helps people remains little explored. In this paper, we empirically study how online medical crowdfunding helps people using more than 27, 000 fundraising cases in Waterdrop Fundraising, one of the most popular online medical crowdfunding platforms in China. We find that the amount of money obtained by fundraisers is broadly distributed, i.e., a majority of lowly donated cases coexist with a handful of very successful cases. We further investigate the factors that potentially correlate with the success of medical fundraising cases. Profile information of fundraising cases, e.g., geographic information of fundraisers, affects the donated amounts, since detailed description may increase the credibility of a fundraising case. One prominent finding lies in the effect of social network on the success of fundraising cases: the spread of fundraising information along social network is a key factor of fundraising success, and the social capital of fundraisers play an important role in fundraising. Finally, we conduct prediction of donations using machine learning models, verifying the effect of potential factors to the success of medical crowdfunding. Altogether, this work presents a data-driven view of medical fundraising on the web and opens a door to understanding medical crowdfunding., Comment: Accepted as a full paper at ICWSM 2021

Published
2020

152. Compensation Tracker: Reprocessing Lost Object for Multi-Object Tracking

Author

Zou, Zhibo, Huang, Junjie, and Luo, Ping

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Tracking by detection paradigm is one of the most popular object tracking methods. However, it is very dependent on the performance of the detector. When the detector has a behavior of missing detection, the tracking result will be directly affected. In this paper, we analyze the phenomenon of the lost tracking object in real-time tracking model on MOT2020 dataset. Based on simple and traditional methods, we propose a compensation tracker to further alleviate the lost tracking problem caused by missing detection. It consists of a motion compensation module and an object selection module. The proposed method not only can re-track missing tracking objects from lost objects, but also does not require additional networks so as to maintain speed-accuracy trade-off of the real-time model. Our method only needs to be embedded into the tracker to work without re-training the network. Experiments show that the compensation tracker can efficaciously improve the performance of the model and reduce identity switches. With limited costs, the compensation tracker successfully enhances the baseline tracking performance by a large margin and reaches 66% of MOTA and 67% of IDF1 on MOT2020 dataset.

Published
2020

153. AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation

Author

Huang, Junjie, Zhu, Zheng, Huang, Guan, and Du, Dalong

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Both appearance cue and constraint cue are vital for human pose estimation. However, there is a tendency in most existing works to overfitting the former and overlook the latter. In this paper, we propose Augmentation by Information Dropping (AID) to verify and tackle this dilemma. Alone with AID as a prerequisite for effectively exploiting its potential, we propose customized training schedules, which are designed by analyzing the pattern of loss and performance in training process from the perspective of information supplying. In experiments, as a model-agnostic approach, AID promotes various state-of-the-art methods in both bottom-up and top-down paradigms with different input sizes, frameworks, backbones, training and testing sets. On popular COCO human pose estimation test set, AID consistently boosts the performance of different configurations by around 0.6 AP in top-down paradigm and up to 1.5 AP in bottom-up paradigm. On more challenging CrowdPose dataset, the improvement is more than 1.5 AP. As AID successfully pushes the performance boundary of human pose estimation problem by considerable margin and sets a new state-of-the-art, we hope AID to be a regular configuration for training human pose estimators. The source code will be publicly available for further research.

Published
2020

154. Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification

Author

Xu, Bingbing, Huang, Junjie, Hou, Liang, Shen, Huawei, Gao, Jinhua, and Cheng, Xueqi

Subjects
Computer Science - Machine Learning, Computer Science - Social and Information Networks, Statistics - Machine Learning
Abstract

Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the representation learning of target node. The success of GNNs at node classification depends on the assumption that connected nodes tend to have the same label. However, such an assumption does not always work, limiting the performance of GNNs at node classification. In this paper, we propose label-consistency based graph neural network(LC-GNN), leveraging node pairs unconnected but with the same labels to enlarge the receptive field of nodes in GNNs. Experiments on benchmark datasets demonstrate the proposed LC-GNN outperforms traditional GNNs in graph-based semi-supervised node classification.We further show the superiority of LC-GNN in sparse scenarios with only a handful of labeled nodes.

Published
2020

155. Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

Author

Feng, Yufei, Yu, Mo, Xiong, Wenhan, Guo, Xiaoxiao, Huang, Junjie, Chang, Shiyu, Campbell, Murray, Greenspan, Michael, and Zhu, Xiaodan

Subjects
Computer Science - Computation and Language
Abstract

We propose the new problem of learning to recover reasoning chains from weakly supervised signals, i.e., the question-answer pairs. We propose a cooperative game approach to deal with this problem, in which how the evidence passages are selected and how the selected passages are connected are handled by two models that cooperate to select the most confident chains from a large set of candidates (from distant supervision). For evaluation, we created benchmarks based on two multi-hop QA datasets, HotpotQA and MedHop; and hand-labeled reasoning chains for the latter. The experimental results demonstrate the effectiveness of our proposed approach.

Published
2020

165. Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021

Author

Gardner, William M, Razo, Christian, McHugh, Theresa A, Hagins, Hailey, Vilchis-Tella, Victor M, Hennessy, Conor, Taylor, Heather Jean, Perumal, Nandita, Fuller, Kia, Cercy, Kelly M, Zoeckler, Leo Zucker, Chen, Catherine S, Lim, Stephen S, Aali, Amirali, Abate, Kalkidan Hassen, Abd-Elsalam, Sherief, Abdurehman, Ame Mehadi, Abebe, Getachew, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Aboye, Girma Beressa Aboye, Abtew, Yonas Derso, Accrombessi, Manfred Mario Kokou, Adane, Denberu Eshetie Adane, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adesina, Miracle Ayomikun, Adeyinka, Daniel Adedayo, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Agustina, Rina, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Sajjad, Ahmadi, Sepideh, Ahmed, Ayman, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akbarialiabad, Hossein, Alahdab, Fares, Al-Aly, Ziyad, Alam, Nazmul, Alemayehu, Astawus, Alhassan, Robert Kaba, Ali, Muhammad Ashar, Almustanyir, Sami, Al-Raddadi, Rajaa M, Al-Rifai, Rami H, Altirkawi, Khalid A, Alvand, Saba, Alvis-Guzman, Nelson, Amer, Yasser Sami Abdel Dayem, Ameyaw, Edward Kwabena, Amu, Hubert, Anagaw, Tadele Fentabil, Ancuceanu, Robert, Anoushirvani, Ali Arash, Antwi, Maxwell Hubert, Anvari, Davood, Arabloo, Jalal, Aravkin, Aleksandr Y, Ariffin, Hany, Aripov, Timur, Arja, Asrat, Arndt, Michael Benjamin, Arulappan, Judie, Aruleba, Raphael Taiwo, Ashraf, Tahira, Asresie, Melash Belachew, Athari, Seyyed Shamsadin, Atlaw, Daniel, Aujayeb, Avinash, Awoke, Andargie Abate, Awoke, Mamaru Ayenew, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, B, Darshan B, Badawi, Alaa, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nasser, Bagherieh, Sara, Baig, Atif Amin, Banach, Maciej, Banik, Palash Chandra, Bantie, Abere Tilahun, Barr, Ronald D, Barrow, Amadou, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Tahmina, Belete, Melaku Ashagrie, Belo, Luis, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhutta, Zulfiqar A, Bikbov, Boris, Billah, Sk Masum, Birara, Setognal, Bishai, Jessica Devin, Bitaraf, Saeid, Boloor, Archith, Botelho, João Silva Botelho, Burkart, Katrin, Calina, Daniela, Cembranel, Francieli, Chakraborty, Promit Ananyo, Chanie, Gashaw Sisay, Chattu, Vijay Kumar, Chien, Ju-Huei, Chukwu, Isaac Sunday, Chung, Eunice, Criqui, Michael H, Cruz-Martins, Natália, Dadras, Omid, Dagnew, Gizachew Worku, Dai, Xiaochen, Danawi, Hadi A, Dandona, Lalit, Dandona, Rakhi, Darwesh, Aso Mohammad, Das, Jai K, Das, Saswati, De la Cruz-Góngora, Vanessa, Demisse, Fitsum Wolde, Demissie, Solomon, Demsie, Desalegn Getnet, Desai, Hardik Dineshbhai, Desalegn, Markos Desalegn, Dessalegn, Fikadu Nugusu, Dessie, Gashaw, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dhingra, Sameer, Diaz, Daniel, Didehdar, Mojtaba, Dirac, M Ashworth, Diress, Mengistie, Doaei, Saeid, Dodangeh, Milad, Doku, Paul Narh, Dongarwar, Deepa, Dora, Bezabih Terefe, Dsouza, Haneil Larson, Edinur, Hisham Atan, Ekholuenetale, Michael, Elagali, Ahmed Elabbas Mustafa, Elbahnasawy, Mostafa Ahmed, Elbarazi, Iffat, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, El-Huneidi, Waseem, Elmonem, Mohamed A, Enyew, Daniel Berhanie, Eshetu, Habitu Birhan, Ewald, Samuel B, Ezzeddini, Rana, Fagbamigbe, Adeniyi Francis, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fekadu, Ginenus, Feyisa, Bikila Regassa, Fischer, Florian, Fitzgerald, Ryan, Foroutan, Masoud, Fowobaje, Kayode Raphael, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Gaipov, Abduzhappar, Galali, Yaseen, Galehdar, Nasrin, Garg, Priyanka, Garg, Tushar, Gebremariam, Yosef Haile, Gebremedhin, Ketema Bizuwork, Gebremichael, Berhe, Gela, Yibeltal Yismaw, Gerema, Urge, Getacher, Lemma, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamalizadeh, Maryam, Ghozy, Sherief, Gizaw, Abraham Tamirat T, Glasbey, James C, Golechha, Mahaveer, Goleij, Pouya, Golitaleb, Mohamad, Goulart, Alessandra C, Goyomsa, Girma Garedew, Guadie, Habtamu Alganeh, Gubari, Mohammed Ibrahim Mohialdeen, Gudisa, Zewdie, Gunawardane, Damitha Asanga, Gupta, Rahul, Gupta, Rajat Das, Gupta, Sapna, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Hamidi, Samer, Handal, Alexis J, Hanif, Asif, Hannan, Md Abdul, Harapan, Harapan, Harorani, Mehdi, Hasaballah, Ahmed I, Hasan, Md Mehedi, Hasani, Hamidreza, Hassankhani, Hadi, Hassen, Mohammed Bheser, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Hess, Sonja Y, Heyi, Demisu Zenbaba, Hezam, Kamal, Hiraike, Yuta, Holla, Ramesh, Hossain, Sheikh Jamal, Hosseini, Kaveh, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Huang, Junjie, Hussain, Salman, Hussien, Foziya Mohammed, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Immurana, Mustapha, Inbaraj, Leeberk Raja, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, J, Linda Merin, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Jayarajah, Umesh, Jayaram, Shubha, Jebai, Rime, Jemal, Bedru, Jeyakumar, Angeline, Jha, Ravi Prakash, Jonas, Jost B, Joseph, Nitin, Jozwiak, Jacek Jerzy, Kabir, Ali, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kanko, Tesfaye K, Karaye, Ibraheem M, Kashoo, Faizan Zaffar, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Harkiran, Kayode, Gbenga A, Kebede, Adera Debella, Keshri, Vikash Ranjan, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalid, Nauman, Khammarnia, Mohammad, Khan, Imteyaz A, Khan, Moien AB, Khatab, Khaled, Khazaei, Zaher, Khubchandani, Jagdish, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Sezer, Kompani, Farzad, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Kuate Defo, Barthelemy, Kuddus, Mohammed, Kumar, G Anil, Kumar, Naveen, Kumar, Nithin, Kurmi, Om P, Kuti, Oluwatosin, Lal, Dharmesh Kumar, Landires, Iván, Larsson, Anders O, Lassi, Zohra S, Latief, Kamaluddin, Laxmaiah, Avula, Ledda, Caterina, Lee, Sang-woong, Legesse, Samson Mideksa, Liu, Xuefeng, Lorenzovici, László, Machado, Vanessa Sintra Machado, Mahajan, Preetam Bhalchandra, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahmoudi, Elham, Malakan Rad, Elaheh, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Medina, John Robert Carabeo, Mejia-Rodriguez, Fabiola, Mendes, José João Mendes, Mendoza, Walter, Mendoza-Cano, Oliver, Mentis, Alexios-Fotios A, Meresa, Haftu Asmerom, Mestrovic, Tomislav, Miazgowski, Tomasz, Mirghafourvand, Mojgan, Mirica, Andreea, Mirza, Moonis, Misganaw, Awoke, Misra, Sanjeev, Mohammad, Dara K, Mohammadi, Shadieh, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Moosavi, Delaram, Moradi, Maryam, Mosapour, Abbas, Mostafavi, Ebrahim, Muche, Temesgen, Mulita, Francesk, Mulu, Getaneh Baye, Murray, Christopher J L, Musina, Ana-Maria, Mustafa, Ghulam, Nagarajan, Ahamarshan Jayaraman, Nair, Tapas Sadasivan, Narasimha Swamy, Sreenivas, Nassereldine, Hasan, Natto, Zuhair S, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Negoi, Ruxandra Irina, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Niazi, Robina Khan, Noori, Maryam, Nowroozi, Ali, Nurrika, Dieta, Nuruzzaman, Khan M, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Obsa, Mohammed Mohammed Suleiman Suleiman, Odhiambo, Julius Nyerere, Ogunsakin, Ropo Ebenezer, Okati-Aliabad, Hassan, Okonji, Osaretin Christabel, Oladunjoye, Adeolu Olufunso, Oladunjoye, Olubunmi Omotola, Olagunju, Andrew T, Olufadewa, Isaac Iyinoluwa, Omar Bali, Ahmed, Omonisi, Abidemi E Emmanuel, Ortiz, Alberto, Owolabi, Mayowa O, Padubidri, Jagadish Rao, Pakzad, Reza, Palicz, Tamás, Pandey, Anamika, Pandya, Apurva Kumar, Papadopoulou, Paraskevi, Pardhan, Shahina, Patel, Jay, Pathak, Ashish, Pathan, Aslam Ramjan, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pereira, Gavin, Perico, Norberto, Perna, Simone, Perumalsamy, Navaraj, Petcu, Ionela-Roxana, Pickering, Brandon V, Piracha, Zahra Zahid, Pollok, Richard Charles G, Pradhan, Pranil Man Singh, Prashant, Akila, Qattea, Ibrahim, Quazi Syed, Zahiruddin, Rahim, Fakher, Rahimi, Mehran, Rahman, Azizur, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmani, Shayan, Rai, Rajesh Kumar, Raimondo, Ivano, Rajaa, Sathish, Ram, Pradhum, Rana, Juwel, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Chythra R, Rao, Sowmya J, Rashedi, Sina, Rashidi, Mohammad-Mahdi, Rawaf, Salman, Rawal, Lal, Raza, Rabail Zehra, Redwan, Elrashdy Moustafa Mohamed, Remuzzi, Giuseppe, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Richards, Toby, Rickard, Jennifer, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Roshandel, Gholamreza, Roy, Bedanta, Rwegerera, Godfrey M, Saad, Aly M A, Sabour, Siamak, Saddik, Basema, Sadeghi, Malihe, Sadeghian, Saeid, Saeed, Umar, Sahebkar, Amirhossein, Sahoo, Harihar, Salem, Marwa Rashad, Samy, Abdallah M, Sankararaman, Senthilkumar, Santoro, Rocco, Santos, Itamar S, Satpathy, Maheswar, Saya, Ganesh Kumar, Seboka, Binyam Tariku, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Seylani, Allen, Shafeghat, Melika, Shah, Pritik A, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sharew, Mequannent Melaku Sharew, Sharma, Purva, Sheikhi, Rahim Ali, Shenoy, Suchitra M, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Jeevan K, Shetty, Pavanchand H, Shin, Jae Il, Shivalli, Siddharudha, Shivarov, Velizar, Shobeiri, Parnian, Shorofi, Seyed Afshin, Sikder, Mustafa Kamal, Sima, Ali Reza, Simegn, Wudneh, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Sisay, Yordanos, Skryabina, Anna Aleksandrovna, Solomon, Yonatan, Song, Yi, Sorensen, Reed J D, Stanaway, Jeffrey D, Suchdev, Parminder S, Sufiyan, Mu'awiyyah Babale, Sultana, Saima, Szeto, Mindy D, Tabaeian, Seidamir Pasha, Tahamtan, Alireza, Taheri, Majid, Taheri Soodejani, Moslem, Tamir, Zemenu, Tan, Ker-Kan, Tariqujjaman, Md, Tarkang, Elvis Enowbeyang, Tat, Nathan Y, Tefera, Yibekal Manaye, Temsah, Mohamad-Hani, Thapar, Rekha, Thiyagarajan, Arulmani, Ticoalu, Jansje Henny Vera, Tigabu, Bereket M, Tiyuri, Amir, Tobe-Gai, Ruoyan, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tusa, Biruk Shalmeno, Ullah, Irfan, Umer, Abdurezak Adem, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vart, Priya, Varthya, Shoban Babu, Vaziri, Siavash, Verma, Madhur verma, Veroux, Massimiliano, Vervoort, Dominique, Vu, Linh Gia, Wagaye, Birhanu, Weldegebreal, Fitsum, Wickramasinghe, Nuwan Darshana, Woldemariam, Melat, Wonde, Tewodros Eshete, Wubetie, Gedif Ashebir, Xu, Xiaoyue, Yari, Kheirollah, Yazdanpanah, Fereshteh, Yehualashet, Sisay Shewasinad, Yigit, Arzu, Yiğit, Vahit, Yisihak, Eshetu, Yon, Dong Keon, Yonemoto, Naohiro, Young, Melissa F, Yu, Chuanhua, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Leila, Zaman, Burhan Abdullah, Zamora, Nelson, Zare, Iman, Zareshahrabadi, Zahra, Zenebe, Getachew Assefa, Zhang, Zhi-Jiang, Zheng, Peng, Zoladl, Mohammad, and Kassebaum, Nicholas J

Published
2023
Full Text
View/download PDF

169. New methods for deep dictionary learning and for image completion

Author

Huang, Junjie and Dragotti, Pier Luigi

Abstract

Digital imaging plays an essential role in many aspects of our daily life. However due to the hardware limitations of the imaging devices, the image measurements are usually inpaired and require further processing to enhance the quality of the raw images in order to enable applications on the user side. Image enhancement aims to improve the information content within image measurements by exploiting the properties of the target image and the forward model of the imaging device. In this thesis, we aim to tackle two specific image enhancement problems, that is, single image super-resolution and image completion. First, we present a new Deep Analysis Dictionary Model (DeepAM) which consists of multiple layers of analysis dictionaries with associated soft-thresholding operators and a single layer of synthesis dictionary for single image super-resolution. To achieve an effective deep model, each analysis dictionary has been designed to be composed of an Information Preserving Analysis Dictionary (IPAD) which passes essential information from the input signal to output and a Clustering Analysis Dictionary (CAD) which generates discriminative feature representation. The parameters of the deep analysis dictionary model are optimized using a layer-wise learning strategy. We demonstrate that both the proposed deep dictionary design and the learning algorithm are effective. Simulation results show that the proposed method achieves comparable performance with Deep Neural Networks and other existing methods. We then generalize DeepAM to a Deep Convolutional Analysis Dictionary Model (DeepCAM) by learning convolutional dictionaries instead of unstructured dictionaries. The convolutional dictionary is more suitable for processing high-dimensional signals like images and has only a small number of free parameters. By exploiting the properties of a convolutional dictionary, we present an efficient convolutional analysis dictionary learning algorithm. The IPAD and the CAD parts are learned using variations of the proposed convolutional analysis dictionary learning algorithm. We demonstrate that DeepCAM is an effective multi-layer convolutional model and achieves better performance than DeepAM while using a smaller number of parameters. Finally, we present an image completion algorithm based on dense correspondence between the input image and an exemplar image retrieved from Internet which has been taken at a similar position. The dense correspondence which is estimated using a hierarchical PatchMatch algorithm is usually noisy and with a large occlusion area corresponding to the region to be completed. By modelling the dense correspondence as a smooth field, an Expectation-Maximization (EM) based method is presented to interpolate a smooth field over the occlusion area which is then used to transfer image content from the exemplar image to the input image. Color correction is further applied to diminish the possible color differences between the input image and the exemplar image. Numerical results demonstrate that the proposed image completion algorithm is able to achieve photo realistic image completion results.

Published
2020
Full Text
View/download PDF

170. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Author

Huang, Junjie, Zhu, Zheng, Guo, Feng, Huang, Guan, and Du, Dalong

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Being a fundamental component in training and inference, data processing has not been systematically considered in human pose estimation community, to the best of our knowledge. In this paper, we focus on this problem and find that the devil of human pose estimation evolution is in the biased data processing. Specifically, by investigating the standard data processing in state-of-the-art approaches mainly including coordinate system transformation and keypoint format transformation (i.e., encoding and decoding), we find that the results obtained by common flipping strategy are unaligned with the original ones in inference. Moreover, there is a statistical error in some keypoint format transformation methods. Two problems couple together, significantly degrade the pose estimation performance and thus lay a trap for the research community. This trap has given bone to many suboptimal remedies, which are always unreported, confusing but influential. By causing failure in reproduction and unfair in comparison, the unreported remedies seriously impedes the technological development. To tackle this dilemma from the source, we propose Unbiased Data Processing (UDP) consist of two technique aspect for the two aforementioned problems respectively (i.e., unbiased coordinate system transformation and unbiased keypoint format transformation). As a model-agnostic approach and a superior solution, UDP successfully pushes the performance boundary of human pose estimation and offers a higher and more reliable baseline for research community. Code is public available in https://github.com/HuangJunJie2017/UDP-Pose, Comment: project:https://github.com/HuangJunJie2017/UDP-Pose

Published
2019

171. Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation

Author

Huang, Junjie, Zhu, Zheng, and Huang, Guan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Human pose estimation are of importance for visual understanding tasks such as action recognition and human-computer interaction. In this work, we present a Multiple Stage High-Resolution Network (Multi-Stage HRNet) to tackling the problem of multi-person pose estimation in images. Specifically, we follow the top-down pipelines and high-resolution representations are maintained during single-person pose estimation. In addition, multiple stage network and cross stage feature aggregation are adopted to further refine the keypoint position. The resulting approach achieves promising results in COCO datasets. Our single-model-single-scale test configuration obtains 77.1 AP score in test-dev using publicly available training data., Comment: technical report

Published
2019

173. Computing Lens for Exploring the Historical People's Social Network

Author

Huang, Junjie and Luo, Tiejian

Subjects
Computer Science - Computers and Society
Abstract

A typical social research topic is to figure out the influential people's relationship and its weights. It is very tedious for social scientists to solve those problems by studying massive literature. Digital humanities bring a new way to a social subject. In this paper, we propose a framework for social scientists to find out ancient figures' power and their camp. The core of our framework consists of signed graph model and novel group partition algorithm. We validate and verify our solution by China Biographical Database Project (CBDB) dataset. The analytic results on a case study demonstrate the effectiveness of our framework, which gets information that consists with the literature's facts and social scientists' viewpoints., Comment: accepted at SoNet 2018

Published
2019
Full Text
View/download PDF

174. Modeling Semantic Compositionality with Sememe Knowledge

Author

Qi, Fanchao, Huang, Junjie, Yang, Chenghao, Liu, Zhiyuan, Chen, Xiao, Liu, Qun, and Sun, Maosong

Subjects
Computer Science - Computation and Language
Abstract

Semantic compositionality (SC) refers to the phenomenon that the meaning of a complex linguistic unit can be composed of the meanings of its constituents. Most related works focus on using complicated compositionality functions to model SC while few works consider external knowledge in models. In this paper, we verify the effectiveness of sememes, the minimum semantic units of human languages, in modeling SC by a confirmatory experiment. Furthermore, we make the first attempt to incorporate sememe knowledge into SC models, and employ the sememeincorporated models in learning representations of multiword expressions, a typical task of SC. In experiments, we implement our models by incorporating knowledge from a famous sememe knowledge base HowNet and perform both intrinsic and extrinsic evaluations. Experimental results show that our models achieve significant performance boost as compared to the baseline methods without considering sememe knowledge. We further conduct quantitative analysis and case studies to demonstrate the effectiveness of applying sememe knowledge in modeling SC. All the code and data of this paper can be obtained on https://github.com/thunlp/Sememe-SC., Comment: To appear at ACL 2019

Published
2019

175. Signed Graph Attention Networks

Author

Huang, Junjie, Shen, Huawei, Hou, Liang, and Cheng, Xueqi

Subjects
Computer Science - Social and Information Networks, Computer Science - Machine Learning, Physics - Physics and Society
Abstract

Graph or network data is ubiquitous in the real world, including social networks, information networks, traffic networks, biological networks and various technical networks. The non-Euclidean nature of graph data poses the challenge for modeling and analyzing graph data. Recently, Graph Neural Network (GNNs) are proposed as a general and powerful framework to handle tasks on graph data, e.g., node embedding, link prediction and node classification. As a representative implementation of GNNs, Graph Attention Networks (GATs) are successfully applied in a variety of tasks on real datasets. However, GAT is designed to networks with only positive links and fails to handle signed networks which contain both positive and negative links. In this paper, we propose Signed Graph Attention Networks (SiGATs), generalizing GAT to signed networks. SiGAT incorporates graph motifs into GAT to capture two well-known theories in signed network research, i.e., balance theory and status theory. In SiGAT, motifs offer us the flexible structural pattern to aggregate and propagate messages on the signed network to generate node embeddings. We evaluate the proposed SiGAT method by applying it to the signed link prediction task. Experimental results on three real datasets demonstrate that SiGAT outperforms feature-based method, network embedding method and state-of-the-art GNN-based methods like signed graph convolutional network (SGCN)., Comment: Accepted and to appear at ICANN2019

Published
2019

176. Symmetric graphs of valency seven and their basic normal quotient graphs

Author

Pan, Jiangmin, Huang, Junjie, and Wang, Chao

Subjects
Mathematics - Combinatorics
Abstract

A graph $\Gamma$ is basic if Aut$\Gamma$ has no normal subgroup $N\ne1$ such that $\Gamma$ is a normal cover of the normal quotient graph $\Gamma_N$. In this paper, we completely determine the basic normal quotient graphs of all connected 7-valent symmetric graphs of order $2pq^n$ with $p < q$ odd primes, which consist of an infinite family of dihedrants of order $2p$ with $p\equiv1$(mod 7), and 6 specific graphs with order at most 310. As a consequence, it shows that, for any given positive integer n, there are only finitely many connected 2-arc-transitive 7-valent graphs of order $2pq^n$ with $7\ne p

Published
2019

177. COS960: A Chinese Word Similarity Dataset of 960 Word Pairs

Author

Huang, Junjie, Qi, Fanchao, Yang, Chenghao, Liu, Zhiyuan, and Sun, Maosong

Subjects
Computer Science - Computation and Language
Abstract

Word similarity computation is a widely recognized task in the field of lexical semantics. Most proposed tasks test on similarity of word pairs of single morpheme, while few works focus on words of two morphemes or more morphemes. In this work, we propose COS960, a benchmark dataset with 960 pairs of Chinese wOrd Similarity, where all the words have two morphemes in three Part of Speech (POS) tags with their human annotated similarity rather than relatedness. We give a detailed description of dataset construction and annotation process, and test on a range of word embedding models. The dataset of this paper can be obtained from https://github.com/thunlp/COS960., Comment: Final

Published
2019

178. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

Author

Ong, Kanyin Liane, Stafford, Lauryn K, McLaughlin, Susan A, Boyko, Edward J, Vollset, Stein Emil, Smith, Amanda E, Dalton, Bronte E, Duprey, Joe, Cruz, Jessica A, Hagins, Hailey, Lindstedt, Paulina A, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abate, Melsew Dagne, Abbasian, Mohammadreza, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullah, Abu Yousuf Md, Abedi, Vida, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Abu-Zaid, Ahmed, Adane, Tigist Demssew, Adane, Denberu Eshetie, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adekanmbi, Victor, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afolabi, Rotimi Felix, Agarwal, Gina, Aghdam, Zahra Babaei, Agudelo-Botero, Marcela, Aguilera Arriagada, Constanza Elizabeth, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Danish, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Aqeel, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ayman, Ahmed, Ali, Ahmed, Luai A, Ahmed, Syed Anees, Ajami, Marjan, Akinyemi, Rufus Olusola, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, AL-Ahdal, Tareq Mohammed Ali, Alalwan, Tariq A, Al-Aly, Ziyad, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Alemi, Sharifullah, Ali, Hassam, Alinia, Tahereh, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Amusa, Ganiyu Adeniyi, Andrei, Catalina Liliana, Anjana, Ranjit Mohan, Ansar, Adnan, Ansari, Golnoosh, Ansari-Moghaddam, Alireza, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Arifin, Hidayat, Arkew, Mesay, Armocida, Benedetta, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Aryan, Zahra, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Askari, Elaheh, Asmelash, Daniel, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Avila-Burgos, Leticia, Awaisu, Ahmed, Azadnajafabad, Sina, B, Darshan B, Babamohamadi, Hassan, Badar, Muhammad, Badawi, Alaa, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nasser, Bagherieh, Sara, Bah, Sulaiman, Bahadory, Saeed, Bai, Ruhai, Baig, Atif Amin, Baltatu, Ovidiu Constantin, Baradaran, Hamid Reza, Barchitta, Martina, Bardhan, Mainak, Barengo, Noel C, Bärnighausen, Till Winfried, Barone, Mark Thomaz Ugliara, Barone-Adesi, Francesco, Barrow, Amadou, Bashiri, Hamideh, Basiru, Afisu, Basu, Sanjay, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Bayih, Mulat Tirfie, Bayileyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Bekele, Alehegn Bekele, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Belo, Luis, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Kidanemaryam, Berhie, Alemshet Yirga, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhatti, Jasvinder Singh, Bikbov, Boris, Bilal, Faiq, Bintoro, Bagas Suryo, Bitaraf, Saeid, Bitra, Veera R, Bjegovic-Mikanovic, Vesna, Bodolica, Virginia, Boloor, Archith, Brauer, Michael, Brazo-Sayavera, Javier, Brenner, Hermann, Butt, Zahid A, Calina, Daniela, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Yin, Cao, Chao, Car, Josip, Carvalho, Márcia, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Cerin, Ester, Chadwick, Joshua, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Charan, Jaykaran, Chattu, Vijay Kumar, Chauhan, Kirti, Cheema, Huzaifa Ahmad, Chekol Abebe, Endeshaw, Chen, Simiao, Cherbuin, Nicolas, Chichagi, Fatemeh, Chidambaram, Saravana Babu, Cho, William C S, Choudhari, Sonali Gajanan, Chowdhury, Rajiv, Chowdhury, Enayet Karim, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Coberly, Kaleb, Columbus, Alyssa, Contreras, Daniela, Cousin, Ewerton, Criqui, Michael H, Cruz-Martins, Natália, Cuschieri, Sarah, Dabo, Bashir, Dadras, Omid, Dai, Xiaochen, Damasceno, Albertino Antonio Moura, Dandona, Rakhi, Dandona, Lalit, Das, Saswati, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, De la Cruz-Góngora, Vanessa, Debele, Gebiso Roba, Delpasand, Kourosh, Demisse, Fitsum Wolde, Demissie, Getu Debalkie, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deo, Salil V, Dervišević, Emina, Desai, Hardik Dineshbhai, Desale, Aragaw Tesfaw, Dessie, Anteneh Mengist, Desta, Fikreab, Dewan, Syed Masudur Rahman, Dey, Sourav, Dhama, Kuldeep, Dhimal, Meghnath, Diao, Nancy, Diaz, Daniel, Dinu, Monica, Diress, Mengistie, Djalalinia, Shirin, Doan, Linh Phuong, Dongarwar, Deepa, dos Santos Figueiredo, Francisco Winter, Duncan, Bruce B, Dutta, Siddhartha, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Elgendy, Islam Y, Elhadi, Muhammed, El-Huneidi, Waseem, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Endeshaw, Destaw, Esayas, Hawi Leul, Eshetu, Habitu Birhan, Etaee, Farshid, Fadhil, Ibtihal, Fagbamigbe, Adeniyi Francis, Fahim, Ayesha, Falahi, Shahab, Faris, MoezAlIslam Ezzat Mahmoud, Farrokhpour, Hossein, Farzadfar, Farshad, Fatehizadeh, Ali, Fazli, Ghazal, Feng, Xiaoqi, Ferede, Tomas Y, Fischer, Florian, Flood, David, Forouhari, Ali, Foroumadi, Roham, Foroutan Koudehi, Masoumeh, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Gaipov, Abduzhappar, Galali, Yaseen, Ganesan, Balasankar, Garcia-Gordillo, MA, Gautam, Rupesh K, Gebrehiwot, Mesfin, Gebrekidan, Kahsu Gebrekirstos, Gebremeskel, Teferi Gebru, Getacher, Lemma, Ghadirian, Fataneh, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gopalani, Sameer Vali, Guadie, Habtamu Alganeh, Guan, Shi-Yang, Gudayu, Temesgen Worku, Guimarães, Rafael Alves, Guled, Rashid Abdi, Gupta, Rajeev, Gupta, Kartik, Gupta, Veer Bala, Gupta, Vivek Kumar, Gyawali, Bishal, Haddadi, Rasool, Hadi, Najah R, Haile, Teklehaimanot Gereziher, Hajibeygi, Ramtin, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamidi, Samer, Hankey, Graeme J, Hannan, Md Abdul, Haque, Shafiul, Harandi, Hamid, Harlianto, Netanja I, Hasan, S M Mahmudul, Hasan, Syed Shahzad, Hasani, Hamidreza, Hassanipour, Soheil, Hassen, Mohammed Bheser, Haubold, Johannes, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hessami, Kamran, Hiraike, Yuta, Holla, Ramesh, Hossain, Sahadat, Hossain, Md Shakhaoat, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hosseinzadeh, Hassan, Huang, Junjie, Huda, Md Nazmul, Hussain, Salman, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ikeda, Nayu, Ilic, Irena M, Ilic, Milena D, Inbaraj, Leeberk Raja, Iqbal, Afrin, Islam, Sheikh Mohammed Shariful, Islam, Rakibul M, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Iwu, Chidozie C D, Iyamu, Ihoghosa Osamuyi, Iyasu, Assefa N, Jacob, Louis, Jafarzadeh, Abdollah, Jahrami, Haitham, Jain, Rajesh, Jaja, Chinwe, Jamalpoor, Zahra, Jamshidi, Elham, Janakiraman, Balamurugan, Jayanna, Krishnamurthy, Jayapal, Sathish Kumar, Jayaram, Shubha, Jayawardena, Ranil, Jebai, Rime, Jeong, Wonjeong, Jin, Yinzi, Jokar, Mohammad, Jonas, Jost B, Joseph, Nitin, Joseph, Abel, Joshua, Charity Ehimwenma, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kaambwa, Billingsley, Kabir, Ali, Kabthymer, Robel Hussen, Kadashetti, Vidya, Kahe, Farima, Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D, Karaye, Ibraheem M, Karkhah, Samad, Katoto, Patrick DMC, Kaur, Navjot, Kazemian, Sina, Kebede, Sewnet Adem, Khader, Yousef Saleh, Khajuria, Himanshu, Khalaji, Amirmohammad, Khan, Moien AB, Khan, Maseer, Khan, Ajmal, Khanal, Saval, Khatatbeh, Moawiah Mohammad, Khater, Amir M, Khateri, Sorour, khorashadizadeh, Fatemeh, Khubchandani, Jagdish, Kibret, Biruk Getahun, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kivimäki, Mika, Kolahi, Ali-Asghar, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Korzh, Oleksii, Kostev, Karel, Kothari, Nikhil, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kuate Defo, Barthelemy, Kuddus, Mohammed, Kuddus, Md Abdul, Kumar, Rakesh, Kumar, Harish, Kundu, Satyajit, Kurniasari, Maria Dyah, Kuttikkattu, Ambily, La Vecchia, Carlo, Lallukka, Tea, Larijani, Bagher, Larsson, Anders O, Latief, Kamaluddin, Lawal, Basira Kankia, Le, Thao Thi Thu, Le, Trang Thi Bich, Lee, Shaun Wen Huey, Lee, Munjae, Lee, Wei-Chen, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Yongze, Li, Ming-Chieh, Lim, Stephen S, Lim, Lee-Ling, Liu, Xuefeng, Liu, Chaojie, Lo, Chun-Han, Lopes, Graciliana, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Maghazachi, Azzam A, Mahasha, Phetole Walter, Mahjoub, Soleiman, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Mahmoudimanesh, Marzieh, Mai, Anh Tuan, Majeed, Azeem, Majma Sanaye, Pantea, Makris, Konstantinos Christos, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mamun, Abdullah A, Mansouri, Borhan, Marateb, Hamid Reza, Mardi, Parham, Martini, Santi, Martorell, Miquel, Marzo, Roy Rillera, Masoudi, Reza, Masoudi, Sahar, Mathews, Elezebeth, Maugeri, Andrea, Mazzaglia, Giampiero, Mekonnen, Teferi, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Minh, Le Huu Nhat, Mini, GK, Miranda, J Jaime, Mirfakhraie, Reza, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Awoke, Misgina, Kebede Haile, Mishra, Manish, Moazen, Babak, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Mohsen, Mohammadian-Hafshejani, Abdollah, Mohammadshahi, Marita, Mohseni, Alireza, Mojiri-forushani, Hoda, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moniruzzaman, Md, Mons, Ute, Montazeri, Fateme, Moodi Ghalibaf, AmirAli, Moradi, Yousef, Moradi, Maryam, Moradi Sarabi, Mostafa, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mossialos, Elias, Mostafavi, Ebrahim, Mueller, Ulrich Otto, Mulita, Francesk, Mulita, Admir, Murillo-Zamora, Efrén, Musa, Kamarul Imran, Mwita, Julius C, Nagaraju, Shankar Prasad, Naghavi, Mohsen, Nainu, Firzan, Nair, Tapas Sadasivan, Najmuldeen, Hastyar Hama Rashid, Nangia, Vinay, Nargus, Shumaila, Naser, Abdallah Y, Nassereldine, Hasan, Natto, Zuhair S, Nauman, Javaid, Nayak, Biswa Prakash, Ndejjo, Rawlance, Negash, Hadush, Negoi, Ruxandra Irina, Nguyen, Hau Thi Hien, Nguyen, Dang H, Nguyen, Phat Tuan, Nguyen, Van Thanh, Nguyen, Hien Quang, Niazi, Robina Khan, Nigatu, Yeshambel T, Ningrum, Dina Nur Anggraini, Nizam, Muhammad A, Nnyanzi, Lawrence Achilles, Noreen, Mamoona, Noubiap, Jean Jacques, Nzoputam, Ogochukwu Janet, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Odogwu, Nkechi Martina, Odukoya, Oluwakemi Ololade, Ojha, Vivek Anand, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olufadewa, Isaac Iyinoluwa, Onwujekwe, Obinna E, Ordak, Michal, Ortiz, Alberto, Osuagwu, Uchechukwu Levi, Oulhaj, Abderrahim, Owolabi, Mayowa O, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Palladino, Raffaele, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pandey, Ashok, Pandey, Anamika, Pandi-Perumal, Seithikurippu R, Pantea Stoian, Anca Mihaela, Pardhan, Shahina, Parekh, Tarang, Parekh, Utsav, Pasovic, Maja, Patel, Jay, Patel, Jenil R, Paudel, Uttam, Pepito, Veincent Christian Filipino, Pereira, Marcos, Perico, Norberto, Perna, Simone, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Podder, Vivek, Postma, Maarten J, Pourali, Ghazaleh, Pourtaheri, Naeimeh, Prates, Elton Junio Sady, Qadir, Mirza Muhammad Fahd, Qattea, Ibrahim, Raee, Pourya, Rafique, Ibrar, Rahimi, Mehran, Rahimifard, Mahban, Rahimi-Movaghar, Vafa, Rahman, Md Obaidur, Rahman, Muhammad Aziz, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Md Mosfequr, Rahmani, Mohamed, Rahmani, Shayan, Rahmanian, Vahid, Rahmawaty, Setyaningrum, Rahnavard, Niloufar, Rajbhandari, Bibek, Ram, Pradhum, Ramazanu, Sheena, Rana, Juwel, Rancic, Nemanja, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Chythra R, Rapaka, Deepthi, Rasali, Drona Prakash, Rashedi, Sina, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, Salman, Rawal, Lal, Redwan, Elrashdy Moustafa Mohamed, Remuzzi, Giuseppe, Rengasamy, Kannan RR, Renzaho, Andre M N, Reyes, Luis Felipe, Rezaei, Nima, Rezaei, Nazila, Rezaeian, Mohsen, Rezazadeh, Hossein, Riahi, Seyed Mohammad, Rias, Yohanes Andy, Riaz, Muhammad, Ribeiro, Daniela, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Rohloff, Peter, Roshandel, Gholamreza, Roustazadeh, Abazar, Rwegerera, Godfrey M, Saad, Aly M A, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sabzmakan, Leila, Saddik, Basema, Sadeghi, Erfan, Saeed, Umar, Saeedi Moghaddam, Sahar, Safi, Sare, Safi, Sher Zaman, Saghazadeh, Amene, Saheb Sharif-Askari, Narjes, Saheb Sharif-Askari, Fatemeh, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahoo, Harihar, Saif-Ur-Rahman, KM, Sajid, Mirza Rizwan, Salahi, Sarvenaz, Salahi, Saina, Saleh, Mohamed A, Salehi, Mohammad Amin, Salomon, Joshua A, Sanabria, Juan, Sanjeev, Rama Krishna, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Sargazi, Saman, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sawhney, Monika, Schlaich, Markus P, Schmidt, Maria Inês, Schuermans, Art, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, Sepanlou, Sadaf G, Sethi, Yashendra, Seylani, Allen, Shabany, Maryam, Shafaghat, Tahereh, Shafeghat, Melika, Shafie, Mahan, Shah, Nilay S, Shahid, Samiah, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sharfaei, Sadaf, Shashamo, Bereket Beyene, Shiri, Rahman, Shittu, Aminu, Shivakumar, K M, Shivalli, Siddharudha, Shobeiri, Parnian, Shokri, Fereshteh, Shuval, Kerem, Sibhat, Migbar Mekonnen, Silva, Luís Manuel Lopes Rodrigues, Simpson, Colin R, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Skryabina, Anna Aleksandrovna, Sohag, Abdullah Al Mamun, Soleimani, Hamidreza, Solikhah, Solikhah, Soltani-Zangbar, Mohammad Sadegh, Somayaji, Ranjani, Sorensen, Reed J D, Starodubova, Antonina V, Sujata, Sujata, Suleman, Muhammad, Sun, Jing, Sundström, Johan, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taheri, Ensiyeh, Taki, Elahe, Tamuzi, Jacques JL Lukenze, Tan, Ker-Kan, Tat, Nathan Y, Taye, Birhan Tsegaw, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Tesler, Riki, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapa, Rajshree, Tharwat, Samar, Thomas, Nihal, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Trico, Domenico, Trihandini, Indang, Tripathy, Jaya Prasad, Tromans, Samuel Joseph, Tsegay, Guesh Mebrahtom, Tualeka, Abdul Rohim, Tufa, Derara Girma, Tyrovolas, Stefanos, Ullah, Sana, Upadhyay, Era, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, van Daalen, Kim Robin, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vaziri, Siavash, Verma, Madhur verma, Verras, Georgios-Ioannis, Vo, Danh Cao, Wagaye, Birhanu, Waheed, Yasir, Wang, Ziyue, Wang, Yanqing, Wang, Cong, Wang, Fang, Wassie, Gizachew Tadesse, Wei, Melissa Y Wei, Weldemariam, Abrha Hailay, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wu, YiFan, Wulandari, Ratna DWI, Xia, Juan, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yada, Dereje Y, Yang, Lin, Yatsuya, Hiroshi, Yesiltepe, Metin, Yi, Siyan, Yohannis, Hunachew Kibret, Yonemoto, Naohiro, You, Yuyi, Zaman, Sojib Bin, Zamora, Nelson, Zare, Iman, Zarea, Kourosh, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeru, Naod Gebrekrstos, Zhang, Zhi-Jiang, Zhong, Chenwen, Zhou, Jingjing, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zodpey, Sanjay, Zoladl, Mohammad, Zou, Zhiyong, Zumla, Alimuddin, Zuniga, Yves Miel H, Magliano, Dianna J, Murray, Christopher J L, Hay, Simon I, and Vos, Theo

Published
2023
Full Text
View/download PDF

184. Action Machine: Rethinking Action Recognition in Trimmed Videos

Author

Zhu, Jiagang, Zou, Wei, Xu, Liang, Hu, Yiming, Zhu, Zheng, Chang, Manyu, Huang, Junjie, Huang, Guan, and Du, Dalong

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Existing methods in video action recognition mostly do not distinguish human body from the environment and easily overfit the scenes and objects. In this work, we present a conceptually simple, general and high-performance framework for action recognition in trimmed videos, aiming at person-centric modeling. The method, called Action Machine, takes as inputs the videos cropped by person bounding boxes. It extends the Inflated 3D ConvNet (I3D) by adding a branch for human pose estimation and a 2D CNN for pose-based action recognition, being fast to train and test. Action Machine can benefit from the multi-task training of action recognition and pose estimation, the fusion of predictions from RGB images and poses. On NTU RGB-D, Action Machine achieves the state-of-the-art performance with top-1 accuracies of 97.2% and 94.3% on cross-view and cross-subject respectively. Action Machine also achieves competitive performance on another three smaller action recognition datasets: Northwestern UCLA Multiview Action3D, MSR Daily Activity3D and UTD-MHAD. Code will be made available.

Published
2018

185. Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

Author

Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Astawus, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Mustafa Elagali, Ahmed Elabbas, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenus, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charles, Gaal, Peter Andras, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tamas, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A.B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotios, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J.L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamás, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marcos, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M.A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschalis, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F.M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, and Farzadfar, Farshad

Published
2023
Full Text
View/download PDF

189. Research on Employment Opportunities Brought by e-Commerce Under Digital Economy

Author

Huang, Junjie, Liu, Manlin, Xie, Siqi, Appolloni, Andrea, Series Editor, Caracciolo, Francesco, Series Editor, Ding, Zhuoqi, Series Editor, Gogas, Periklis, Series Editor, Huang, Gordon, Series Editor, Nartea, Gilbert, Series Editor, Ngo, Thanh, Series Editor, Striełkowski, Wadim, Series Editor, Jiang, Yushi, editor, Shvets, Yuriy, editor, and Mallick, Hrushikesh, editor

Published
2022
Full Text
View/download PDF

196. An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes

Author

Huang, Junjie, Zou, Wei, Zhu, Zheng, and Zhu, Jiagang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Real-time motion detection in non-stationary scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource. These challenges degrade the performance of the existing methods in practical applications. In this paper, an optical flow based framework is proposed to address this problem. By applying a novel strategy to utilize optical flow, we enable our method being free of model constructing, training or updating and can be performed efficiently. Besides, a dual judgment mechanism with adaptive intervals and adaptive thresholds is designed to heighten the system's adaptation to different situations. In experiment part, we quantitatively and qualitatively validate the effectiveness and feasibility of our method with videos in various scene conditions. The experimental results show that our method adapts itself to different situations and outperforms the state-of-the-art real-time methods, indicating the advantages of our optical flow based method., Comment: 6 pages. arXiv admin note: substantial text overlap with arXiv:1807.04890

Published
2018

197. Optical Flow Based Online Moving Foreground Analysis

Author

Huang, Junjie, Zou, Wei, Zhu, Zheng, and Zhu, Jiagang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Obtained by moving object detection, the foreground mask result is unshaped and can not be directly used in most subsequent processes. In this paper, we focus on this problem and address it by constructing an optical flow based moving foreground analysis framework. During the processing procedure, the foreground masks are analyzed and segmented through two complementary clustering algorithms. As a result, we obtain the instance-level information like the number, location and size of moving objects. The experimental result show that our method adapts itself to the problem and performs well enough for practical applications., Comment: 6pages

Published
2018

198. Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes

Author

Huang, Junjie, Zou, Wei, Zhu, Jiagang, and Zhu, Zheng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Real-time moving object detection in unconstrained scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource. In this paper, an optical flow based moving object detection framework is proposed to address this problem. We utilize homography matrixes to online construct a background model in the form of optical flow. When judging out moving foregrounds from scenes, a dual-mode judge mechanism is designed to heighten the system's adaptation to challenging situations. In experiment part, two evaluation metrics are redefined for more properly reflecting the performance of methods. We quantitatively and qualitatively validate the effectiveness and feasibility of our method with videos in various scene conditions. The experimental results show that our method adapts itself to different situations and outperforms the state-of-the-art methods, indicating the advantages of optical flow based methods., Comment: 7 pages, 5 figures

Published
2018

199. Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenus, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Das, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Douglas, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamás, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marcos, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashis, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigues, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Miklós, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioannis, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen

Published
2022
Full Text
View/download PDF

200. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Haakenstad, Annie, Yearwood, Jamal Akeem, Fullman, Nancy, Bintz, Corinne, Bienhoff, Kelly, Weaver, Marcia R, Nandakumar, Vishnu, LeGrand, Kate E, Knight, Megan, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abeldaño Zuñiga, Roberto Ariel, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Afzal, Muhammad Sohail, Afzal, Saira, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Ali, Ahmed Rashid, Tarik, Aji, Budi, Akande-Sholabi, Wuraola, Alam, Khurshid, Al Hamad, Hanadi, Alhassan, Robert Kaba, Ali, Liaqat, Alipour, Vahid, Aljunid, Syed Mohamed, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Andrade, Pedro Prata, Anjum, Afifa, Arabloo, Jalal, Arab-Zozani, Morteza, Ariffin, Hany, Arulappan, Judie, Aryan, Zahra, Ashraf, Tahira, Atnafu, Desta Debalkie, Atreya, Alok, Ausloos, Marcel, Avila-Burgos, Leticia, Ayano, Getinet, Ayanore, Martin Amogre, Azari, Samad, Badiye, Ashish D, Baig, Atif Amin, Bairwa, Mohan, Bakkannavar, Shankar M, Baliga, Shrikala, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Basu, Sanjay, Bayati, Mohsen, Belete, Rebuma, Bell, Arielle Wilder, Bhagat, Devidas S., Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhardwaj, Nikha, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhurtyal, Ashok, Bhutta, Zulfiqar A, Bibi, Sadia, Bijani, Ali, Bikbov, Boris, Biondi, Antonio, Bolarinwa, Obasanjo Afolabi, Bonny, Aime, Brenner, Hermann, Buonsenso, Danilo, Burkart, Katrin, Busse, Reinhard, Butt, Zahid A, Butt, Nadeem Shafique, Caetano dos Santos, Florentino Luciano, Cahuana-Hurtado, Lucero, Cámera, Luis Alberto, Cárdenas, Rosario, Carneiro, Vera L A, Catalá-López, Ferrán, Chandan, Joht Singh, Charan, Jaykaran, Chavan, Prachi P, Chen, Simiao, Chen, Shu, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Mohiuddin Ahsanul Kabir, Cirillo, Massimo, Corso, Barbara, Dadras, Omid, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dangel, William James, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, Deuba, Keshab, Dhimal, Meghnath, Dhimal, Mandira Lamichhane, Djalalinia, Shirin, Do, Huyen Phuc, Doshmangir, Leila, Duncan, Bruce B, Effiong, Andem, Ehsani-Chimeh, Elham, Elgendy, Islam Y, Elhadi, Muhammed, El Sayed, Iman, El Tantawi, Maha, Erku, Daniel Asfaw, Eskandarieh, Sharareh, Fares, Jawad, Farzadfar, Farshad, Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, Foigt, Nataliya A., Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gaihre, Santosh, Gardner, William M., Garg, Tushar, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gilani, Syed Amir, Gill, Paramjit Singh, Goharinezhad, Salime, Golechha, Mahaveer, Guadamuz, Jenny S., Guo, Yuming, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Vivek Kumar, Gupta, Veer Bala, Hamiduzzaman, Mohammad, Hanif, Asif, Haro, Josep Maria, Hasaballah, Ahmed I., Hasan, Md. Mehedi, Hasan, M Tasdik, Hashi, Abdiwahab, Hay, Simon I, Hayat, Khezar, Heidari, Mohammad, Heidari, Golnaz, Henry, Nathaniel J, Herteliu, Claudiu, Holla, Ramesh, Hossain, Sahadat, Hossain, Sheikh Jamal, Hossain, Mohammad Bellal Hossain, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Hsieh, Vivian Chia-rong, Hu, Guoqing, Huang, Junjie, Huda, M Mamun, Ifeagwu, Susan C., Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Jahani, Mohammad Ali, Jahanmehr, Nader, Jain, Rajesh, Jakovljevic, Mihajlo, Janodia, Manthan Dilipkumar, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Jürisson, Mikk, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamath, Aruna M., Kamenov, Kaloyan, Kandel, Himal, Kantar, Rami S., Kapoor, Neeti, Karanikolos, Marina, Katikireddi, Srinivasa Vittal, Kavetskyy, Taras, Kawakami, Norito, Kayode, Gbenga A., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khammarnia, Mohammad, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Maseer, Khezeli, Mehdi, Kim, Min Seo, Kim, Yun Jin, Kisa, Sezer, Kisa, Adnan, Klymchuk, Vitalii, Koly, Kamrun Nahar, Korzh, Oleksii, Kosen, Soewarta, Koul, Parvaiz A, Kuate Defo, Barthelemy, Kumar, G Anil, Kusuma, Dian, Kyu, Hmwe Hmwe, Larsson, Anders O, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Lee, Chiachi Bonnie, Li, Shanshan, Lucchetti, Giancarlo, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Malta, Deborah Carvalho, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martinez-Valle, Adolfo, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maude, Richard James, Maulik, Pallab K, McKee, Martin, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Misganaw, Awoke, Misra, Sanjeev, Moazen, Babak, Mohammadi, Mokhtar, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Ghobad, Moreira, Rafael Silveira, Mosser, Jonathan F., Mostafavi, Ebrahim, Mouodi, Simin, Nagarajan, Ahamarshan Jayaraman, Nagata, Chie, Naghavi, Mohsen, Nangia, Vinay, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nascimento, Bruno Ramos, Nassereldine, Hasan, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Nepal, Samata, Neupane Kandel, Sandhya, Ngunjiri, Josephine W., Nguyen, Huong Lan Thi, Nguyen, Cuong Tat, Ningrum, Dina Nur Anggraini, Noubiap, Jean Jacques, Oancea, Bogdan, Oghenetega, Onome Bright, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Onwujekwe, Obinna E, Otoiu, Adrian, Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pardhan, Shahina, Pasupula, Deepak Kumar, Pathak, Praveen Kumar, Patton, George C, Pawar, Shrikant, Pereira, Jeevan, Pilania, Manju, Piroozi, Bakhtiar, Podder, Vivek, Pokhrel, Khem Narayan, Postma, Maarten J, Prada, Sergio I, Quazi Syed, Zahiruddin, Rabiee, Navid, Radhakrishnan, Raghu Anekal, Rahman, Md. Mosfequr, Rahman, Mosiur, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ranabhat, Chhabi Lal, Rao, Chythra R, Rao, Sowmya J, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Renzaho, Andre M.N., Reshmi, Bhageerathy, Resnikoff, Serge, Rezapour, Aziz, Riahi, Seyed Mohammad, Ripon, Rezaul Karim, Sacco, Simona, Sadeghi, Masoumeh, Saeed, Umar, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Sahoo, Harihar, Sahu, Maitreyi, Salama, Joseph S, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M., Sathian, Brijesh, Sawhney, Monika, Schmidt, Maria Inês, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shaikh, Masood Ali, Sheikh, Aziz, Shetty, Adithi, Shigematsu, Mika, Shiri, Rahman, Shivakumar, K M, Shokri, Azad, Singh, Jasvinder A., Sinha, Dhirendra Narain, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sofi-Mahmudi, Ahmad, Sousa, Raúl A R C, Stephens, Jacqueline H, Sun, Jing, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tadbiri, Hooman, Tamiru, Animut Tagele, Thankappan, Kavumpurathu Raman, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tran, Bach Xuan, Tripathi, Niharika, Tripathy, Jaya Prasad, Troeger, Christopher E, Uezono, Deinzel Robles, Ullah, Saif, Ullah, Anayat, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vasic, Milena, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wamai, Richard G, Wang, Yuan-Pang, Wang, Yanzhong, Ward, Paul, Wiangkham, Taweewat, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yi, Siyan, Yiğit, Vahit, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Sojib Bin, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, Lim, Stephen S, Murray, Christopher J L, and Lozano, Rafael

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results