1,393 results on '"Liqiang Wang"'
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202. LE-VINS: A Robust Solid-State-LiDAR-Enhanced Visual-Inertial Navigation System for Low-Speed Robots.
203. A new regulation control method for underactuated 3D overhead cranes.
204. Minimally Distorted Structured Adversarial Attacks.
205. On complementing unsupervised learning with uncertainty quantification.
206. FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator.
207. Neural Network Based in-Loop Filter with Constrained Memory.
208. APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.
209. Optimize neural network based in-loop filters through iterative training.
210. Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks.
211. ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdom.
212. CTIN: Robust Contextual Transformer Network for Inertial Navigation.
213. Multi-stream dynamic video Summarization.
214. Design, synthesis, and evaluation of aryl-thioether ruthenium polypyridine complexes: A multi-target antimicrobial agents against gram-positive bacteria
215. Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network.
216. Continuous sliding mode control for the translational oscillator with a rotating actuator system.
217. NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance.
218. A three-dimensional measurement method for binocular endoscopes based on deep learning.
219. SE-LIO: Semantics-enhanced Solid-State-LiDAR-Inertial Odometry for Tree-rich Environments.
220. Multi-modal Domain Adaptation for REG via Relation Transfer.
221. PO-VINS: An Efficient Pose-Only LiDAR-Enhanced Visual-Inertial State Estimator.
222. Enhanced Implicit Selection of Transform Skip in AVS3.
223. A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning.
224. Ranking Neural Checkpoints.
225. Review on the development of blast furnace condition identification based on blast furnace gas flow distribution.
226. SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
227. Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19.
228. Analyzing Deep Neural Network's Transferability via Fréchet Distance.
229. New energy output control program based on short circuit ratio indicator of new energy multi-station and enhancement measures
230. Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model.
231. BachGAN: High-Resolution Image Synthesis From Salient Object Layout.
232. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective.
233. Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.
234. Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing.
235. Cross-Domain Learning for Classifying Propaganda in Online Contents.
236. Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization.
237. Self-Supervised Learning for Audio-Visual Speaker Diarization.
238. Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN.
239. Improving Object Detection with Selective Self-supervised Self-training.
240. AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning.
241. Active dropblock: Method to enhance deep model accuracy and robustness.
242. AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking.
243. Construction of a cell-based aggregation and seeding model for the Tau protein.
244. On Calibrating Semantic Segmentation Models: Analysis and An Algorithm.
245. Defending Against Adversarial Attacks Using Random Forest.
246. Derived Tree Block Partition for AVS3 Intra Coding.
247. An Efficient Probability Estimation Design for Logarithmic Binary Arithmetic Coding.
248. A Transfer Learning Based Interpretable User Experience Model on Small Samples.
249. NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.
250. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains.
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