Jensen (Jinghao) Zhou
Jensen (Jinghao) Zhou
Email: jensen dot zhoujh at gmail dot com
I am a second-year Ph.D. student at University of Oxford supervised by Prof. Christian Rupprecht and Prof. Philip Torr.
I am a part of both the Visual Geometry Group as well as Torr Vision Group.
Previously, I completed my bachelor degree at Northwestern Polytechnical University in 2021.
I like building multi-modal generative models and self-supervised general-purpose models. I had fun researching artificial intelligence at
Stability AI (2024),
Google (2023),
Microsoft (2022),
ByteDance (2021),
JHU (2021),
and SenseTime (2020).
News 🎉
- Jun. 2024 - Scene-Cond-3D gets accepted by ECCV 2024.
- Jan. 2024 - dBOT gets accepted by ICLR 2024.
- Feb. 2023 - xCLIP gets accepted by CVPR 2023.
- Jan. 2022 - iBOT gets accepted by ICLR 2022.
- Dec. 2021 - The code and pre-trained models of iBOT are released.
Publications
Full Publications: Google Scholar
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Incrementally Adapting Generative Models with Task Codebook
Jinghao Zhou, Ahmet Iscen, Mathilde Caron, Christian Rupprecht, Philip Torr, Cordelia Schmit
Tech report, 2024
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Scene-Conditional 3D Object Stylization and Composition
Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht
arXiv / project page / code
ECCV, 2024
-
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei
arXiv
CVPR, 2023
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iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong
arXiv / camera-ready / code / press
ICLR, 2022
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Real-Time Visual Object Tracking via Few-Shot Learning
Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wanli Ouyang
arXiv
Bachelor thesis 🎓, 2021
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Discriminative and Robust Online Learning for Siamese Visual Tracking
Jinghao Zhou, Peng Wang, Haoyang Sun
arXiv / camera-ready / code
AAAI, 2020
Interests
Multi-Modal Generative Models, Self-Supervised Learning, General-Purpose Models, Visual Object Tracking, etc.