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06/01/2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
We investigate the potential of learning visual representations using sy...
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05/31/2023
Improving CLIP Training with Language Rewrites
Contrastive Language-Image Pre-training (CLIP) stands as one of the most...
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05/23/2023
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Loss of packets in video conferencing often results in poor quality and ...
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04/06/2023
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention
Humans possess a versatile mechanism for extracting structured represent...
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11/01/2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Contrastive learning (CL) can learn generalizable feature representation...
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08/25/2020
In-Home Daily-Life Captioning Using Radio Signals
This paper aims to caption daily life –i.e., to create a textual descrip...
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04/02/2020
Learning Longterm Representations for Person Re-Identification Using Radio Signals
Person Re-Identification (ReID) aims to recognize a person-of-interest a...
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09/20/2019
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Understanding people's actions and interactions typically depends on see...
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08/09/2018
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
The recent advances in deep learning have made it possible to generate p...
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04/02/2018
End-to-End Learning of Motion Representation for Video Understanding
Despite the recent success of end-to-end learned representations, hand-c...
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04/03/2017
