Research:
I'm generally interested in understanding how visual perception emerges.
In particular, on topics:
learning visual representations from self-supervised training.
multi-modal co-training with visual apperance, motion, audio, textual description, etc.
open-world, object-centric representation learning.
learning visual representation for embodied agents.
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To Prospective Student:
Make sure you are super enthusiastic about computer vision research.
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News:
Sep 2022, 7/7 papers have been accepted by BMVC2022. Congrats to all co-authors !
Sep 2022, Invited keynote talk at the ECCV2022 Workshop On What Is Motion For.
Sep 2022, 3/3 papers have been accepted by NeurIPS2022. Congrats to all co-authors !
Sep 2022, Will serve as the Area Chair for CVPR2023.
Sep 2022, CounTR: Transformer-based Generalised Visual Counting. To appear at BMVC2022.
Sep 2022, K-Space Transformer for Fast MRI Reconstruction with Implicit Representation. To appear at BMVC2022
Sep 2022, ReCo: Retrieve and Co-segment for Zero-shot Transfer. To appear at NeurIPS2022.
Sep 2022, Segmenting Moving Objects via an Object-Centric Layered Representation. To appear at NeurIPS2022.
July 2022, Prompting Visual-Language Models for Efficient Video Understanding. To appear at ECCV2022.
July 2022, PromptDet: Towards Open-vocabulary Detection using Uncurated Images. To appear at ECCV2022.
July 2022, 2/3 papers have been accepted by ECCV2022. Congrats to all co-authors !
June 2022, 1/1 papers have been accepted by ACM MM 2022. Congrats to all co-authors !
July 2022, 2/3 papers have been accepted by MICCAI2022. Congrats to all co-authors !
July 2022, 3/4 papers have been accepted by CVPR2022. Congrats to all co-authors !
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