CREST: Convolutional Residual Learning for Visual Tracking Y Song, C Ma, L Gong, J Zhang, RWH Lau, MH Yang IEEE International Conference on Computer Vision (ICCV), 2574-2583, 2017 | 622 | 2017 |
VITAL: Visual Tracking via Adversarial Learning Y Song, C Ma, X Wu, L Gong, L Bao, W Zuo, C Shen, RWH Lau, MH Yang IEEE Computer Vision and Pattern Recognition (CVPR), 8990-8999, 2018 | 620 | 2018 |
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset T Wang, X Yang, K Xu, S Chen, Q Zhang, RWH Lau IEEE Computer Vision and Pattern Recognition (CVPR), 12262-12271, 2019 | 538 | 2019 |
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks J Zhang, J Pan, J Ren, Y Song, L Bao, RWH Lau, MH Yang IEEE Computer Vision and Pattern Recognition (CVPR), 2521-2529, 2018 | 418 | 2018 |
Visual Tracking via Locality Sensitive Histograms S He, Q Yang, RWH Lau, J Wang, MH Yang IEEE Computer Vision and Pattern Recognition (CVPR), 2427-2434, 2013 | 399 | 2013 |
BiFormer: Vision Transformer with Bi-Level Routing Attention L Zhu, X Wang, Z Ke, W Zhang, RWH Lau IEEE Computer Vision and Pattern Recognition (CVPR), 10323-10333, 2023 | 319 | 2023 |
SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection S He, RWH Lau, W Liu, Z Huang, Y QX International Journal of Computer Vision 115 (3), 330-344, 2015 | 313 | 2015 |
Learning to Restore Low-light Images via Decomposition-and-Enhancement K Xu, X Yang, B Yin, RWH Lau IEEE Computer Vision and Pattern Recognition (CVPR), 2020 | 308 | 2020 |
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal L Qu, J Tian, S He, Y Tang, RWH Lau IEEE Computer Vision and Pattern Recognition (CVPR), 2308-2316, 2017 | 284 | 2017 |
Check: a document plagiarism detection system A Si, HV Leong, RWH Lau ACM Symposium on Applied Computing, 70-77, 1997 | 259 | 1997 |
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Z Ke, D Wang, Q Yan, J Ren, RWH Lau IEEE International Conference on Computer Vision (ICCV), 2019 | 245 | 2019 |
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss J Jiao, Y Cao, Y Song, RWH Lau European Conference on Computer Vision (ECCV), 2018 | 235 | 2018 |
Guided collaborative training for pixel-wise semi-supervised learning Z Ke, D Qiu, K Li, Q Yan, RWH Lau European Conference on Computer Vision (ECCV), 2020 | 231 | 2020 |
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution J Zhang, J Pan, WS Lai, RWH Lau, MH Yang IEEE Computer Vision and Pattern Recognition (CVPR), 6969-6977, 2017 | 196 | 2017 |
What Makes Instance Discrimination Good for Transfer Learning? N Zhao, Z Wu, RWH Lau, S Lin ICLR 2021, 2021 | 178 | 2021 |
Content-aware Generative Modeling of Graphic Design Layouts X Zheng, X Qiao, Y Cao, RWH Lau ACM Trans. on Graphics (SIGGRAPH 2019) 38 (4), 2019 | 174 | 2019 |
BRVO: Predicting pedestrian trajectories using velocity-space reasoning S Kim, SJ Guy, W Liu, D Wilkie, RWH Lau, MC Lin, D Manocha The International Journal of Robotics Research, 2014 | 174 | 2014 |
A multi-server architecture for distributed virtual walkthrough B Ng, A Si, RWH Lau, FWB Li ACM Symposium on Virtual Reality Software and Technology (VRST), 163-170, 2002 | 166 | 2002 |
A Statistical Similarity Measure for Aggregate Crowd Dynamics SJ Guy, J van den Berg, W Liu, RWH Lau, MC Lin, D Manocha ACM Trans. on Graphics (ACM SIGGRAPH Asia 2012) 31 (6), 2012 | 161 | 2012 |
CyberWalk: a web-based distributed virtual walkthrough environment J Chim, RWH Lau, HV Leong, A Si IEEE Trans. on Multimedia 5 (4), 503-515, 2003 | 154 | 2003 |