| Towards privacy-preserving visual recognition via adversarial training: A pilot study Z Wu, Z Wang, Z Wang, H Jin Proceedings of the European conference on computer vision (ECCV), 606-624, 2018 | 201 | 2018 |
| All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning. PM Uplavikar, Z Wu, Z Wang CVPR workshops, 1-8, 2019 | 176 | 2019 |
| Deep k-means: Re-training and parameter sharing with harder cluster assignments for compressing deep convolutions J Wu, Y Wang, Z Wu, Z Wang, A Veeraraghavan, Y Lin International Conference on Machine Learning, 5363-5372, 2018 | 152 | 2018 |
| Delving into robust object detection from unmanned aerial vehicles: A deep nuisance disentanglement approach Z Wu, K Suresh, P Narayanan, H Xu, H Kwon, Z Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 99 | 2019 |
| Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset Z Wu, H Wang, Z Wang, H Jin, Z Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2126-2139, 2020 | 96 | 2020 |
| MM-hand: 3D-aware multi-modal guided hand generation for 3D hand pose synthesis Z Wu, D Hoang, SY Lin, Y Xie, L Chen, YY Lin, Z Wang, W Fan Proceedings of the 28th ACM international conference on multimedia, 2508-2516, 2020 | 25* | 2020 |
| Soar: Scene-debiasing open-set action recognition Y Zhai, Z Liu, Z Wu, Y Wu, C Zhou, D Doermann, J Yuan, G Hua Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 15 | 2023 |
| Pcal: A privacy-preserving intelligent credit risk modeling framework based on adversarial learning Y Zheng, Z Wu, Y Yuan, T Chen, Z Wang arXiv preprint arXiv:2010.02529, 2020 | 13 | 2020 |
| A multi-purpose realistic haze benchmark with quantifiable haze levels and ground truth P Narayanan, X Hu, Z Wu, MD Thielke, JG Rogers, AV Harrison, ... IEEE Transactions on Image Processing 32, 3481-3492, 2023 | 10 | 2023 |
| Weakly-guided self-supervised pretraining for temporal activity detection K Kahatapitiya, Z Ren, H Li, Z Wu, MS Ryoo, G Hua Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1078-1086, 2023 | 9 | 2023 |
| The 2020 low-power computer vision challenge X Hu, MC Chang, Y Chen, R Sridhar, Z Hu, Y Xue, Z Wu, P Pi, J Shen, ... 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 8 | 2021 |
| Black-box diagnosis and calibration on GAN intra-mode collapse: A pilot study Z Wu, Z Wang, Y Yuan, J Zhang, Z Wang, H Jin ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 6 | 2021 |
| E2vts: energy-efficient video text spotting from unmanned aerial vehicles Z Hu, P Pi, Z Wu, Y Xue, J Shen, J Tan, X Lian, Z Wang, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 5 | 2021 |
| Txvad: Improved video action detection by transformers Z Wu, Z Ren, Y Wu, Z Wang, G Hua Proceedings of the 30th ACM International Conference on Multimedia, 4605-4613, 2022 | 4 | 2022 |
| Towards High Quality Multi-Object Tracking and Segmentation without Mask Supervision W Cheng, Y Wu, Z Wu, H Ling, G Hua IEEE Transactions on Image Processing, 2024 | 3 | 2024 |
| E^ 2tad: An energy-efficient tracking-based action detector X Hu, Z Wu, HY Miao, S Fan, T Long, Z Hu, P Pi, Y Wu, Z Ren, Z Wang, ... arXiv preprint arXiv:2204.04416, 2022 | 2 | 2022 |
| Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge X Hu, Z Jiao, A Kocher, Z Wu, J Liu, JC Davis, GK Thiruvathukal, YH Lu Computer 56 (8), 28-37, 2023 | 1 | 2023 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at Austinutexas.edu의 이메일 확인됨