Zhenyu Wu

Orcid: 0000-0002-7183-6943

Affiliations:
  • Texas A&M University, College Station, TX, USA


According to our database1, Zhenyu Wu authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Toward High Quality Multi-Object Tracking and Segmentation Without Mask Supervision.
IEEE Trans. Image Process., 2024

2023
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge.
Computer, August, 2023

A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth.
IEEE Trans. Image Process., 2023

SOAR: Scene-debiasing Open-set Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth.
CoRR, 2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.
CoRR, 2022

E<sup>2</sup>TAD: An Energy-Efficient Tracking-based Action Detector.
CoRR, 2022

TxVAD: Improved Video Action Detection by Transformers.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Self-supervised Pretraining with Classification Labels for Temporal Activity Detection.
CoRR, 2021

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


2020
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.
CoRR, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.
CoRR, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset.
CoRR, 2019

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study.
Proceedings of the Computer Vision - ECCV 2018, 2018


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