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Your search keyword '"Lan, Yuxuan"' showing total 34 results
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34 results on '"Lan, Yuxuan"'

3. Low protein diet protects liver function upon Salmonella infection by metabolic reprogramming of macrophages

Author

Wojtowicz, Edyta E, primary, Hampton, Katherine, additional, Moreno-Gonzalez, Mar, additional, Utting, Charlotte L, additional, Lan, Yuxuan, additional, Ruiz, Paula, additional, Beasy, Gemma, additional, Bone, Caitlin, additional, Hellmich, Charlotte, additional, Maynard, Rebecca, additional, Acton, Luke, additional, Telatin, Andrea, additional, Kingsley, Robert A, additional, Macaulay, Iain C, additional, Rushworth, Stuart A, additional, and Beraza, Naiara, additional

Published
2024
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5. Finding phonemes: improving machine lip-reading

Author

Bear, Helen L., Harvey, Richard W., and Lan, Yuxuan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

In machine lip-reading there is continued debate and research around the correct classes to be used for recognition. In this paper we use a structured approach for devising speaker-dependent viseme classes, which enables the creation of a set of phoneme-to-viseme maps where each has a different quantity of visemes ranging from two to 45. Viseme classes are based upon the mapping of articulated phonemes, which have been confused during phoneme recognition, into viseme groups. Using these maps, with the LiLIR dataset, we show the effect of changing the viseme map size in speaker-dependent machine lip-reading, measured by word recognition correctness and so demonstrate that word recognition with phoneme classifiers is not just possible, but often better than word recognition with viseme classifiers. Furthermore, there are intermediate units between visemes and phonemes which are better still.

Published
2017

6. Which phoneme-to-viseme maps best improve visual-only computer lip-reading?

Author

Bear, Helen L., Harvey, Richard W., Theobald, Barry-John, and Lan, Yuxuan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

A critical assumption of all current visual speech recognition systems is that there are visual speech units called visemes which can be mapped to units of acoustic speech, the phonemes. Despite there being a number of published maps it is infrequent to see the effectiveness of these tested, particularly on visual-only lip-reading (many works use audio-visual speech). Here we examine 120 mappings and consider if any are stable across talkers. We show a method for devising maps based on phoneme confusions from an automated lip-reading system, and we present new mappings that show improvements for individual talkers.

Published
2017

7. Resolution limits on visual speech recognition

Author

Bear, Helen L., Harvey, Richard, Theobald, Barry-John, and Lan, Yuxuan

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

Visual-only speech recognition is dependent upon a number of factors that can be difficult to control, such as: lighting; identity; motion; emotion and expression. But some factors, such as video resolution are controllable, so it is surprising that there is not yet a systematic study of the effect of resolution on lip-reading. Here we use a new data set, the Rosetta Raven data, to train and test recognizers so we can measure the affect of video resolution on recognition accuracy. We conclude that, contrary to common practice, resolution need not be that great for automatic lip-reading. However it is highly unlikely that automatic lip-reading can work reliably when the distance between the bottom of the lower lip and the top of the upper lip is less than four pixels at rest.

Published
2017

9. Deep sequencing of Phox2a nuclei reveals five classes of anterolateral system neurons

Author

Bell, Andrew M, primary, Utting, Charlotte, additional, Hachisuka, Junichi, additional, Dickie, Allen C, additional, Kucharczyk, Mateusz Wojciech, additional, Quillet, Raphaëlle, additional, Gutierrez-Mecinas, Maria, additional, Razlan, Aimi N.B, additional, Cooper, Andrew H, additional, Lan, Yuxuan, additional, Weir, Gregory A, additional, Bannister, Kirsty, additional, Watanabe, Masahiko, additional, Hoon, Mark A, additional, Macaulay, Iain C, additional, Denk, Franziska, additional, and Todd, Andrew, additional

Published
2023
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11. Which Phoneme-to-Viseme Maps Best Improve Visual-Only Computer Lip-Reading?

Author

Bear, Helen L., Harvey, Richard W., Theobald, Barry-John, Lan, Yuxuan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, McMahan, Ryan, editor, Jerald, Jason, editor, Zhang, Hui, editor, Drucker, Steven M., editor, Kambhamettu, Chandra, editor, El Choubassi, Maha, editor, Deng, Zhigang, editor, and Carlson, Mark, editor

Published
2014
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12. Salient Regions from Scale-Space Trees

Author

Perez Torres, Jose Roberto, Lan, Yuxuan, Harvey, Richard, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sgallari, Fiorella, editor, Murli, Almerico, editor, and Paragios, Nikos, editor

Published
2007
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31. Salient Regions from Scale-Space Trees.

Author

Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Rangan, C. Pandu, Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Sgallari, Fiorella, Murli, Almerico, Paragios, Nikos, Perez Torres, Jose Roberto, and Lan, Yuxuan

Abstract

Extracting regions that are noticeably different from their surroundings, so called salient regions, is a topic of considerable interest for image retrieval. There are many current techniques but it has been shown that SIFT and MSER regions are among the best. The SIFT methods have their basis in linear scale-space but less well known is that MSERs are based on a non-linear scale-space. We demonstrate the connection between MSERs and morphological scale-space. Using this connection, MSERs can be enhanced to form a saliency tree which we evaluate via its effectiveness at a standard image retrieval task. The tree out-performs scale-saliency methods. We also examine the robustness of the tree using another standard task in which patches are compared across images transformations such as illuminant change, perspective transformation and so on. The saliency tree is one of the best performing methods. [ABSTRACT FROM AUTHOR]

Published
2007
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33. Deep sequencing of Phox2a nuclei reveals five classes of anterolateral system neurons.

Author

Bell AM, Utting C, Dickie AC, Kucharczyk MW, Quillet R, Gutierrez-Mecinas M, Razlan ANB, Cooper AH, Lan Y, Hachisuka J, Weir GA, Bannister K, Watanabe M, Kania A, Hoon MA, Macaulay IC, Denk F, and Todd AJ

Subjects
Animals, Mice, Spinal Cord cytology, Spinal Cord metabolism, Neurons metabolism, High-Throughput Nucleotide Sequencing, Male, Cell Nucleus metabolism, Cell Nucleus genetics, Transcription Factors genetics, Transcription Factors metabolism, Homeodomain Proteins genetics, Homeodomain Proteins metabolism
Abstract

The anterolateral system (ALS) is a major ascending pathway from the spinal cord that projects to multiple brain areas and underlies the perception of pain, itch, and skin temperature. Despite its importance, our understanding of this system has been hampered by the considerable functional and molecular diversity of its constituent cells. Here, we use fluorescence-activated cell sorting to isolate ALS neurons belonging to the Phox2a-lineage for single-nucleus RNA sequencing. We reveal five distinct clusters of ALS neurons (ALS1-5) and document their laminar distribution in the spinal cord using in situ hybridization. We identify three clusters of neurons located predominantly in laminae I-III of the dorsal horn (ALS1-3) and two clusters with cell bodies located in deeper laminae (ALS4 and ALS5). Our findings reveal the transcriptional logic that underlies ALS neuronal diversity in the adult mouse and uncover the molecular identity of two previously identified classes of projection neurons. We also show that these molecular signatures can be used to target groups of ALS neurons using retrograde viral tracing. Overall, our findings provide a valuable resource for studying somatosensory biology and targeting subclasses of ALS neurons., Competing Interests: Competing interests statement:The authors declare no competing interest.

Published
2024
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34. Deep sequencing of Phox2a nuclei reveals five classes of anterolateral system neurons.

Author

Bell AM, Utting C, Dickie AC, Kucharczyk MW, Quillet R, Gutierrez-Mecinas M, Razlan ANB, Cooper AH, Lan Y, Hachisuka J, Weir GA, Bannister K, Watanabe M, Kania A, Hoon MA, Macaulay IC, Denk F, and Todd AJ

Abstract

The anterolateral system (ALS) is a major ascending pathway from the spinal cord that projects to multiple brain areas and underlies the perception of pain, itch and skin temperature. Despite its importance, our understanding of this system has been hampered by the considerable functional and molecular diversity of its constituent cells. Here we use fluorescence-activated cell sorting to isolate ALS neurons belonging to the Phox2a-lineage for single-nucleus RNA sequencing. We reveal five distinct clusters of ALS neurons (ALS1-5) and document their laminar distribution in the spinal cord using in situ hybridization. We identify 3 clusters of neurons located predominantly in laminae I-III of the dorsal horn (ALS1-3) and two clusters with cell bodies located in deeper laminae (ALS4 & ALS5). Our findings reveal the transcriptional logic that underlies ALS neuronal diversity in the adult mouse and uncover the molecular identity of two previously identified classes of projection neurons. We also show that these molecular signatures can be used to target groups of ALS neurons using retrograde viral tracing. Overall, our findings provide a valuable resource for studying somatosensory biology and targeting subclasses of ALS neurons., Competing Interests: Competing Interest Statement: The authors declare no competing interests.

Published
2023
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