| CosFace: Large Margin Cosine Loss for Deep Face Recognition H Wang, Y Wang, Z Zhou, X Ji, D Gong, J Zhou, Z Li, W Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 2012 | 2018 |
| SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning L Chen, H Zhang, J Xiao, L Nie, J Shao, W Liu, TS Chua Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 1649 | 2017 |
| Supervised Hashing with Kernels W Liu, J Wang, R Ji, YG Jiang, SF Chang Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 | 1590 | 2012 |
| Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 1151 | 2015 |
| Hashing with Graphs W Liu, J Wang, S Kumar, S Chang Proceedings of International Conference on Machine Learning (ICML), 1-8, 2011 | 1147 | 2011 |
| Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang European Conference on Computer Vision (ECCV), arXiv preprint arXiv:1804.01654, 2018 | 1024 | 2018 |
| Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention J Chen, H Zhang, X He, L Nie, W Liu, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 703 | 2017 |
| Multiple object tracking: A literature review W Luo, J Xing, A Milan, X Zhang, W Liu, T Kim Artificial Intelligence 293 (103448), arXiv preprint arXiv:1409.7618v4, 2021 | 675 | 2021 |
| Large graph construction for scalable semi-supervised learning W Liu, J He, SF Chang Proceedings of International Conference on Machine Learning (ICML), 679-686, 2010 | 639 | 2010 |
| Gated Fusion Network for Single Image Dehazing W Ren, L Ma, J Zhang, J Pan, X Cao, W Liu, MH Yang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 627 | 2018 |
| Discrete Graph Hashing W Liu, C Mu, S Kumar, SF Chang Advances in Neural Information Processing Systems (NIPS) 27, 2014 | 552 | 2014 |
| Learning to hash for indexing big data—A survey J Wang, W Liu, S Kumar, SF Chang Proceedings of the IEEE 104 (1), 34-57, 2016 | 545 | 2016 |
| Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42 (4 …, 2020 | 523 | 2020 |
| Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2016 | 453 | 2016 |
| Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng European Conference on Computer Vision (ECCV), 2018 | 436 | 2018 |
| Learning distance metrics with contextual constraints for image retrieval SCH Hoi, W Liu, MR Lyu, WY Ma Proceedings of IEEE Computer Society Conference on Computer Vision and …, 2006 | 400 | 2006 |
| Semi-supervised distance metric learning for collaborative image retrieval and clustering SCH Hoi, W Liu, SF Chang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2010 | 366 | 2010 |
| Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval C Li, C Deng, N Li, W Liu, X Gao, D Tao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 345 | 2018 |
| Unsupervised Deep Tracking N Wang, Y Song, C Ma, W Zhou, W Liu, H Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), arXiv …, 2019 | 330 | 2019 |
| Multi-Modal Curriculum Learning for Semi-Supervised Image Classification C Gong, D Tao, SJ Maybank, W Liu, G Kang, J Yang IEEE Transactions on Image Processing (TIP) 25 (7), 3249-3260, 2016 | 303 | 2016 |
Lin MaMeituanVerified email at alumni.cuhk.net
