activity
20172022
most citedTransferrable Prototypical Networks for Unsupervised Domain Adaptation

50 citations · 199 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CV20211 cited

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

Yehao Li, Yingwei Pan, Jingwen Chen +2

With the rise and development of deep learning over the past decade, there has been a steady momentum of innovation and breakthroughs that convincingly push the state-of-the-art of…

cs.CV202142 cited

Contextual Transformer Networks for Visual Recognition

Yehao Li, Ting Yao, Yingwei Pan +1

Transformer with self-attention has led to the revolutionizing of natural language processing field, and recently inspires the emergence of Transformer-style architecture design wi…

cs.CV20218 cited

Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network

Yehao Li, Yingwei Pan, Ting Yao +2

Despite having impressive vision-language (VL) pretraining with BERT-based encoder for VL understanding, the pretraining of a universal encoder-decoder for both VL understanding an…

cs.CV20201 cited

Pre-training for Video Captioning Challenge 2020 Summary

Yingwei Pan, Jun Xu, Yehao Li +2

The Pre-training for Video Captioning Challenge 2020 Summary: results and challenge participants' technical reports.

cs.CV202027 cited

Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training

Yingwei Pan, Yehao Li, Jianjie Luo +3

In this work, we present Auto-captions on GIF, which is a new large-scale pre-training dataset for generic video understanding. All video-sentence pairs are created by automaticall…

cs.CV20202 cited

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

Yingwei Pan, Ting Yao, Yehao Li +2

Unsupervised domain adaptation has received significant attention in recent years. Most of existing works tackle the closed-set scenario, assuming that the source and target domain…