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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 30 Oct 2023 02:59:41 GMT access-control-allow-origin: * etag: W/"653f1c1d-56b6" expires: Tue, 30 Dec 2025 14:37:23 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: A4FD:2680BD:A2839B:B68273:6953E14A accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 14:27:24 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210047-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767104844.836178,VS0,VE216 vary: Accept-Encoding x-fastly-request-id: c776a90d034bd26d95ebf580bd8e9116a47f59e3 content-length: 5428 Zhenyu Wu

Hi, I'm Zhenyu Wu (CV).

I am a Senior Machine Learning Engineer II (Perception) at Cruise LLC, reporting to Dr. Annie Liu.
I was a researcher at Wormpex AI Research, where I was extremely fortunate to work with Dr. Zhou Ren, Dr. Gang Hua, and Dr. Yi Wu.
I obtained my Ph.D. from VITA Lab, advised by Prof. Atlas Wang.
wuzhenyusjtu AT gmail.com

Education

Ph.D. in Computer Science (08/2017 - 08/2021) from Texas A&M University (TAMU)
Advisor: Zhangyang (Atlas) Wang
M.S. in Computer Science (08/2015 - 05/2017) from Ohio State University (OSU)
Advisor: Han-Wei Shen
B.E. in Information Security (09/2011 - 07/2015) from Shanghai Jiao Tong University (SJTU)
Advisor: Cunqing Hua

Research Interests

Building practical perception systems that are: (a) robust to perturbations/degradations and distribution shifts; (b) efficient for both inference and training; (c) ethical for individual privacy and group fairness.
Solving low-level and high-level vision problems that include: (a) dehazing and image enhancement; (b) object detection and action detection; (c) text spotting; (d) pose estimation; (e) tracking.

Selected Publications

SOAR: Scene-debiasing Open-set Action Recognition

Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, and Gang Hua

IEEE ICCV 2023

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A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth

Priya Narayanan, Zhenyu Wu*, Xin Hu*, Matthew D Thielke, John G Rogers, Andre V Harrison, John A D'Agostino, James D Brown, Long P Quang, James R Uplinger, Heesung Kwon, and Zhangyang Wang

IEEE TIP 2023

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Self-supervised Pretraining with Classification Labels for Temporal Activity Detection

Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S Ryoo, and Gang Hua

AAAI 2023

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TxVAD: Improved Video Action Detection by Transformers

Zhenyu Wu, Zhou Ren, Yi Wu, Zhangyang Wang, and Gang Hua

ACM MM 2022

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Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study

Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhng, Zhangyang Wang, and Hailin Jin

ACM TOMM 2021

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MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis

Zhenyu Wu*, Duc Hoang*, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, and Wei Fan

ACM MM 2020

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Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

Zhenyu Wu*, Haotao Wang*, Zhaowen Wang, Hailin Jin, and Zhangyang Wang

IEEE TPAMI 2020

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Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon and Zhangyang Wang

IEEE ICCV 2019

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All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

Pritish Uplavikar, Zhenyu Wu, and Zhangyang Wang

CVPR Workshop 2019

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, and Hailin Jin

Springer ECCV 2018

PDF Code Adobe News TAMU CSE News

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, and Yingyan Lin

ICML 2018

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Challenge Awards

Low-Power Computer Vision Challenge: UAV Video Track

1st Prize

ICCV 2021

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Low-Power Computer Vision Challenge: UAV Video Track

2nd Prize

CVPR 2020

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Professional Experience & Activity

Internships

Research Intern, Wormpex AI, May. 2020 - Aug. 2020
Advisor: Dr. Zhou Ren, Dr. Yi Wu, Dr. Gang Hua
Research Intern, Tencent AI, May. 2020 - Aug. 2020
Advisor: Dr. Shih-Yao Lin, Dr. Yusheng Xie, Dr. Wei Fan
Research Intern, Adobe, Jan. 2020 - Apr. 2020
Advisor: Dr. Zhaowen Wang, Dr. Jianming Zhang, Dr. Hailin Jin
Research Intern, Army Research Lab, May. 2018 - Aug. 2018
Advisor: Dr. Priya Narayanan, Dr. Heesung Kwon
Research Intern, Siemens PLM Software, July. 2014 - Mar. 2015
Advisor: Dr. George Allen (Chief Scientist)

Professional Services:

Workshop Organizer: 5th and 6th UG²+ (CVPR 2022 and 2023)
Area Chair: ICIP 2022, 2023
Reviewer: TPAMI, IJCV, CVPR, ECCV, ICCV, ICML, NeurIPS, ICLR

Invited Talks:

Tutorial: Efficient Computer Vision for Embedded Systems (Design Automation Conference 2022)
Winner's Talk: Low-Power Computer Vision Challenge: (International Conference of Computer Vision 2021)
Winner's Talk: Low-Power Computer Vision Challenge: (Computer Vision and Patter Recognition 2020)
Winner's Talk: Chalearn LAP Inpainting Competition (European Conference on Computer Vision 2018)

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