Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study. - Zhenyu Wu 002; Zhangyang Wang; Zhaowen Wang; Hailin Jin (ECCV (16), 2018)

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. - Junru Wu; Yue Wang 036; Zhenyu Wu 002; Zhangyang Wang; Ashok Veeraraghavan; Yingyan Lin (ICML, 2018)

All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning. - Pritish M. Uplavikar; Zhenyu Wu 002; Zhangyang Wang (CVPR Workshops, 2019)

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. - Zhenyu Wu 002; Karthik Suresh 001; Priya Narayanan; Hongyu Xu; Heesung Kwon; Zhangyang Wang (ICCV, 2019)

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset. - Haotao Wang; Zhenyu Wu 002; Zhangyang Wang; Zhaowen Wang; Hailin Jin (CoRR, 2019)

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis. - Zhenyu Wu 002; Duc Hoang; Shih-Yao Lin 001; Yusheng Xie; Liangjian Chen; Yen-Yu Lin; Zhangyang Wang; Wei Fan 001 (ACM Multimedia, 2020)

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis. - Zhenyu Wu 002; Duc Hoang; Shih-Yao Lin 001; Yusheng Xie; Liangjian Chen; Yen-Yu Lin; Zhangyang Wang; Wei Fan 001 (CoRR, 2020)

PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning. - Yuli Zheng; Zhenyu Wu 002; Ye Yuan 012; Tianlong Chen 001; Zhangyang Wang (CoRR, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. - Zhenyu Hu; Pengcheng Pi; Zhenyu Wu 002; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 2021)

Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. - Kumara Kahatapitiya; Zhou Ren; Haoxiang Li; Zhenyu Wu 002; Michael S. Ryoo (CoRR, 2021)

Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. - Zhenyu Wu 002; Zhaowen Wang; Ye Yuan 012; Jianming Zhang 001; Zhangyang Wang; Hailin Jin (ACM Trans. Multim. Comput. Commun. Appl., 2021)

TxVAD: Improved Video Action Detection by Transformers. - Zhenyu Wu 002; Zhou Ren; Yi Wu; Zhangyang Wang; Gang Hua 001 (ACM Multimedia, 2022)

E2TAD: An Energy-Efficient Tracking-based Action Detector. - Xin Hu; Zhenyu Wu 002; Hao-Yu Miao; Siqi Fan 003; Taiyu Long; Zhenyu Hu; Pengcheng Pi; Yi Wu; Zhou Ren; Zhangyang Wang; Gang Hua 001 (CoRR, 2022)

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. - Zhenyu Hu; Zhenyu Wu 002; Pengcheng Pi; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CoRR, 2022)

A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth. - Priya Narayanan; Xin Hu; Zhenyu Wu 002; Matthew D. Thielke; John G. Rogers; Andre V. Harrison; John A. D'Agostino; James D. Brown; Long P. Quang; James R. Uplinger; Heesung Kwon; Zhangyang Wang (CoRR, 2022)

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset. - Zhenyu Wu 002; Haotao Wang; Zhaowen Wang; Hailin Jin; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. - Kumara Kahatapitiya; Zhou Ren; Haoxiang Li; Zhenyu Wu 002; Michael S. Ryoo; Gang Hua 001 (AAAI, 2023)

SOAR: Scene-debiasing Open-set Action Recognition. - Yuanhao Zhai 001; Ziyi Liu 001; Zhenyu Wu 002; Yi Wu; Chunluan Zhou; David S. Doermann; Junsong Yuan 001; Gang Hua 001 (ICCV, 2023)

A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. - Priya Narayanan; Xin Hu; Zhenyu Wu 002; Matthew D. Thielke; John G. Rogers; Andre V. Harrison; John A. D'Agostino; James D. Brown; Long P. Quang; James R. Uplinger; Heesung Kwon; Zhangyang Wang (IEEE Trans. Image Process., 2023)

Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ziteng Jiao; Ayden Kocher; Zhenyu Wu 002; Junjie Liu; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (Computer, 2023)

Toward High Quality Multi-Object Tracking and Segmentation Without Mask Supervision. - Wensheng Cheng; Yi Wu; Zhenyu Wu 002; Haibin Ling; Gang Hua 001 (IEEE Trans. Image Process., 2024)