Search Results for author: Jiangliu Wang

Found 9 papers, 5 papers with code

Advancing Vision Transformers with Group-Mix Attention

1 code implementation26 Nov 2023 Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo

The attention map is computed based on the mixtures of tokens and group proxies and used to re-combine the tokens and groups in Value.

Image Classification object-detection +2

Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning

no code implementations30 Mar 2023 Chongjian Ge, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo

We evaluate our soft neighbor contrastive learning method (SNCLR) on standard visual recognition benchmarks, including image classification, object detection, and instance segmentation.

Contrastive Learning Image Classification +6

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

2 code implementations26 May 2022 Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo

To address this challenge, we propose an effective adaptation approach for Transformer, namely AdaptFormer, which can adapt the pre-trained ViTs into many different image and video tasks efficiently.

Action Recognition Video Recognition

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics

2 code implementations31 Aug 2020 Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, Yun-hui Liu

Specifically, given an unlabeled video clip, we compute a series of spatio-temporal statistical summaries, such as the spatial location and dominant direction of the largest motion, the spatial location and dominant color of the largest color diversity along the temporal axis, etc.

Action Recognition Representation Learning +3

Self-supervised Video Representation Learning by Pace Prediction

1 code implementation ECCV 2020 Jiangliu Wang, Jianbo Jiao, Yun-hui Liu

This paper addresses the problem of self-supervised video representation learning from a new perspective -- by video pace prediction.

Action Recognition Contrastive Learning +3

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