| Dualgan: Unsupervised dual learning for image-to-image translation Z Yi, H Zhang, P Tan, M Gong Proceedings of the IEEE international conference on computer vision, 2849-2857, 2017 | 2480 | 2017 |
| Sketch2Photo: internet image montage T Chen, MM Cheng, P Tan, A Shamir, SM Hu ACM Transactions on Graphics (TOG) 28 (5), 124, 2009 | 866 | 2009 |
| Cascade cost volume for high-resolution multi-view stereo and stereo matching X Gu, Z Fan, S Zhu, Z Dai, F Tan, P Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 668 | 2020 |
| Image-based plant modeling L Quan, P Tan, G Zeng, L Yuan, J Wang, SB Kang ACM Siggraph 2006 Papers, 599-604, 2006 | 471 | 2006 |
| Coslam: Collaborative visual slam in dynamic environments D Zou, P Tan IEEE transactions on pattern analysis and machine intelligence 35 (2), 354-366, 2012 | 420 | 2012 |
| Bundled camera paths for video stabilization S Liu, L Yuan, P Tan, J Sun ACM transactions on graphics (TOG) 32 (4), 1-10, 2013 | 389 | 2013 |
| Richardson-lucy deblurring for scenes under a projective motion path YW Tai, P Tan, MS Brown IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (8), 1603-1618, 2010 | 377 | 2010 |
| Image-based tree modeling P Tan, G Zeng, J Wang, SB Kang, L Quan ACM SIGGRAPH 2007 papers, 87-es, 2007 | 351 | 2007 |
| Batch dropblock network for person re-identification and beyond Z Dai, M Chen, X Gu, S Zhu, P Tan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 342* | 2019 |
| A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo B Shi, Z Wu, Z Mo, D Duan, SK Yeung, P Tan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 312 | 2016 |
| Semantic colorization with internet images AYS Chia, S Zhuo, RK Gupta, YW Tai, SY Cho, P Tan, S Lin ACM Transactions on Graphics (ToG) 30 (6), 1-8, 2011 | 305 | 2011 |
| Ba-net: Dense bundle adjustment network C Tang, P Tan arXiv preprint arXiv:1806.04807, 2018 | 297 | 2018 |
| Panocontext: A whole-room 3d context model for panoramic scene understanding Y Zhang, S Song, P Tan, J Xiao Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 290 | 2014 |
| Neural window fully-connected crfs for monocular depth estimation W Yuan, X Gu, Z Dai, S Zhu, P Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 261 | 2022 |
| Image-based façade modeling J Xiao, T Fang, P Tan, P Zhao, E Ofek, L Quan ACM SIGGRAPH Asia 2008 papers, 1-10, 2008 | 238 | 2008 |
| Learning guided convolutional network for depth completion J Tang, FP Tian, W Feng, J Li, P Tan IEEE Transactions on Image Processing 30, 1116-1129, 2020 | 237 | 2020 |
| Steadyflow: Spatially smooth optical flow for video stabilization S Liu, L Yuan, P Tan, J Sun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 223 | 2014 |
| Cluster contrast for unsupervised person re-identification Z Dai, G Wang, W Yuan, S Zhu, P Tan Proceedings of the Asian Conference on Computer Vision, 1142-1160, 2022 | 215 | 2022 |
| Condlanenet: a top-to-down lane detection framework based on conditional convolution L Liu, X Chen, S Zhu, P Tan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 215 | 2021 |
| A closed-form solution to retinex with nonlocal texture constraints Q Zhao, P Tan, Q Dai, L Shen, E Wu, S Lin IEEE transactions on pattern analysis and machine intelligence 34 (7), 1437-1444, 2012 | 211 | 2012 |
Long QUANProfessor, Department of Computer Science and Engineering, HKUST在 cse.ust.hk 的电子邮件经过验证
