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05/10/2023
VideoChat: Chat-Centric Video Understanding
In this study, we initiate an exploration into video understanding by in...
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12/06/2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a var...
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11/17/2022
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
Learning discriminative spatiotemporal representation is the key problem...
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07/19/2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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05/30/2022
Illumination Adaptive Transformer
Challenging illumination conditions (low light, underexposure and overex...
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01/12/2022
Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning
It is a challenging task to learn rich and multi-scale spatiotemporal se...
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12/04/2021
PointCLIP: Point Cloud Understanding by CLIP
Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...
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11/24/2021
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video
Self-attention has become an integral component of the recent network ar...
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11/06/2021
