activity
20162022
most citedFocal Self-attention for Local-Global Interactions in Vision Transformers

268 citations · 616 across the 11 of their papers we have counts for

collaborators

21 papers

cs.CV2022

Self-Supervised Learning based on Heat Equation

Yinpeng Chen, Xiyang Dai, Dongdong Chen +4

This paper presents a new perspective of self-supervised learning based on extending heat equation into high dimensional feature space. In particular, we remove time dependence by…

cs.CV20229 cited

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Qiankun Liu, Zhentao Tan, Dongdong Chen +6

Transformers have achieved great success in pluralistic image inpainting recently. However, we find existing transformer based solutions regard each pixel as a token, thus suffer f…

cs.CV20228 cited

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

Zhecan Wang, Noel Codella, Yen-Chun Chen +8

Cross-modal encoders for vision-language (VL) tasks are often pretrained with carefully curated vision-language datasets. While these datasets reach an order of 10 million samples,…

cs.CV20213 cited

MicroNet: Improving Image Recognition with Extremely Low FLOPs

Yunsheng Li, Yinpeng Chen, Xiyang Dai +6

This paper aims at addressing the problem of substantial performance degradation at extremely low computational cost (e.g. 5M FLOPs on ImageNet classification). We found that two f…

cs.CV2021268 cited

Focal Self-attention for Local-Global Interactions in Vision Transformers

Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4

Recently, Vision Transformer and its variants have shown great promise on various computer vision tasks. The ability of capturing short- and long-range visual dependencies through…

cs.CV202164 cited

Dynamic Head: Unifying Object Detection Heads with Attentions

Xiyang Dai, Yinpeng Chen, Bin Xiao +4

The complex nature of combining localization and classification in object detection has resulted in the flourished development of methods. Previous works tried to improve the perfo…