Zhenyu Wu
Orcid: 0000-0002-7183-6943Affiliations:
- 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:
Collaborative distances:
Timeline
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Bibliography
2024
IEEE Trans. Image Process., 2024
2023
Computer, August, 2023
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth.
IEEE Trans. Image Process., 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
CoRR, 2022
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
ACM Trans. Multim. Comput. Commun. Appl., 2021
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection.
CoRR, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 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
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
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