| Lazy snapping Y Li, J Sun, CK Tang, HY Shum ACM Transactions on Graphics (ToG) 23 (3), 303-308, 2004 | 1734 | 2004 |
| Network trimming: A data-driven neuron pruning approach towards efficient deep architectures H Hu, R Peng, YW Tai, CK Tang arXiv preprint arXiv:1607.03250 (NIPS submission), 2016 | 1082 | 2016 |
| Poisson matting J Sun, J Jia, CK Tang, HY Shum ACM Transactions on Graphics (ToG) 23 (3), 315-321, 2004 | 967 | 2004 |
| Few-shot object detection with attention-RPN and multi-relation detector Q Fan, W Zhuo, CK Tang, YW Tai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 629 | 2020 |
| KNN matting Q Chen, D Li, CK Tang IEEE transactions on pattern analysis and machine intelligence 35 (9), 2175-2188, 2013 | 596 | 2013 |
| A computational framework for segmentation and grouping G Medioni, MS Lee, CK Tang Elsevier, 2000 | 585 | 2000 |
| Make it home: automatic optimization of furniture arrangement LF Yu, SK Yeung, CK Tang, D Terzopoulos, TF Chan, SJ Osher ACM Transactions on Graphics (TOG)-Proceedings of ACM SIGGRAPH 2011, v. 30 …, 2011 | 489 | 2011 |
| Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis Z Lin, J He, X Tang, CK Tang Pattern Recognition 42 (11), 2492-2501, 2009 | 484 | 2009 |
| Local color transfer via probabilistic segmentation by expectation-maximization YW Tai, J Jia, CK Tang 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 484 | 2005 |
| Drag-and-drop pasting J Jia, J Sun, CK Tang, HY Shum ACM Transactions on graphics (TOG) 25 (3), 631-637, 2006 | 402 | 2006 |
| Fast image/video upsampling Q Shan, Z Li, J Jia, CK Tang ACM Transactions on Graphics (TOG) 27 (5), 1-7, 2008 | 401 | 2008 |
| Stereo reconstruction from multiperspective panoramas Y Li, HY Shum, CK Tang, R Szeliski IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (1), 45-62, 2004 | 330 | 2004 |
| Image repairing: Robust image synthesis by adaptive nd tensor voting J Jia, CK Tang 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 321 | 2003 |
| Rethinking space-time networks with improved memory coverage for efficient video object segmentation HK Cheng, YW Tai, CK Tang Advances in Neural Information Processing Systems 34, 11781-11794, 2021 | 304 | 2021 |
| Deep high dynamic range imaging with large foreground motions S Wu, J Xu, YW Tai, CK Tang Proceedings of the European Conference on Computer Vision (ECCV), 117-132, 2018 | 300 | 2018 |
| Conditional cyclegan for attribute guided face image generation Y Lu, YW Tai, CK Tang arXiv preprint arXiv:1705.09966 2, 2017 | 283 | 2017 |
| Pop-up light field HY Shum, J Sun, S Yamazaki, Y Li US Patent 7,633,511, 2009 | 272 | 2009 |
| Fss-1000: A 1000-class dataset for few-shot segmentation X Li, T Wei, YP Chen, YW Tai, CK Tang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 249 | 2020 |
| Cascadepsp: Toward class-agnostic and very high-resolution segmentation via global and local refinement HK Cheng, J Chung, YW Tai, CK Tang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 230 | 2020 |
| Attribute-guided face generation using conditional cyclegan Y Lu, YW Tai, CK Tang Proceedings of the European conference on computer vision (ECCV), 282-297, 2018 | 224 | 2018 |
