| Benchmarking single-image dehazing and beyond B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang IEEE transactions on image processing 28 (1), 492-505, 2018 | 2498 | 2018 |
| FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Y Zhang, C Wang, X Wang, W Zeng, W Liu arXiv preprint arXiv:2004.01888, 2020 | 2235 | 2020 |
| Generalizing to unseen domains: A survey on domain generalization J Wang, C Lan, C Liu, Y Ouyang, T Qin, W Lu, Y Chen, W Zeng, PS Yu IEEE transactions on knowledge and data engineering 35 (8), 8052-8072, 2022 | 1626 | 2022 |
| Image-adaptive watermarking using visual models CI Podilchuk, W Zeng IEEE Journal on selected areas in communications 16 (4), 525-539, 1998 | 1489 | 1998 |
| An end-to-end spatio-temporal attention model for human action recognition from skeleton data S Song, C Lan, J Xing, W Zeng, J Liu Thirty-first AAAI conference on artificial intelligence, 2017 | 1184 | 2017 |
| Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 1074 | 2016 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 1073 | 2018 |
| A twofold siamese network for real-time object tracking A He, C Luo, X Tian, W Zeng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 860 | 2018 |
| Relation-aware global attention for person re-identification Z Zhang, C Lan, W Zeng, X Jin, Z Chen Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 788 | 2020 |
| View adaptive recurrent neural networks for high performance human action recognition from skeleton data P Zhang, C Lan, J Xing, W Zeng, J Xue, N Zheng Proceedings of the IEEE international conference on computer vision, 2117-2126, 2017 | 725 | 2017 |
| Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition P Zhang, C Lan, W Zeng, J Xue, N Zheng arXiv preprint arXiv:1904.01189, 2019 | 705 | 2019 |
| The Seventh Visual Object Tracking VOT2019 Challenge Results M Kristanl, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW …, 2019 | 661 | 2019 |
| View adaptive neural networks for high performance skeleton-based human action recognition P Zhang, C Lan, J Xing, W Zeng, J Xue, N Zheng IEEE transactions on pattern analysis and machine intelligence 41 (8), 1963-1978, 2019 | 573 | 2019 |
| Efficient frequency domain selective scrambling of digital video W Zeng, S Lei IEEE Transactions on Multimedia 5 (1), 118-129, 2003 | 529 | 2003 |
| Style normalization and restitution for generalizable person re-identification X Jin, C Lan, W Zeng, Z Chen, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 514 | 2020 |
| Phasen: A phase-and-harmonics-aware speech enhancement network D Yin, C Luo, Z Xiong, W Zeng Proceedings of the AAAI conference on artificial intelligence 34 (05), 9458-9465, 2020 | 432 | 2020 |
| Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip Yu. Generalizing to unseen domains: A survey on domain generalization J Wang IEEE transactions on knowledge and data engineering 1 (2), 13, 2022 | 410 | 2022 |
| Densely semantically aligned person re-identification Z Zhang, C Lan, W Zeng, Z Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 364 | 2019 |
| Inpaint anything: Segment anything meets image inpainting T Yu, R Feng, R Feng, J Liu, X Jin, W Zeng, Z Chen arXiv preprint arXiv:2304.06790, 2023 | 353 | 2023 |
| Cross view fusion for 3d human pose estimation H Qiu, C Wang, J Wang, N Wang, W Zeng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 332 | 2019 |
Cuiling Lan (兰翠玲)Microsoft Research AsiaVerified email at microsoft.com
