37 citations · 47 across the 5 of their papers we have counts for
5 papers
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
Zhaopeng Dou, Zhongdao Wang, Yali Li +1
This paper aims to learn a domain-generalizable (DG) person re-identification (ReID) representation from large-scale videos \textbf{without any annotation}. Prior DG ReID methods e…
Generalizable Re-Identification from Videos with Cycle Association
Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang +4
In this paper, we are interested in learning a generalizable person re-identification (re-ID) representation from unlabeled videos. Compared with 1) the popular unsupervised re-ID…
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
Zhaopeng Dou, Zhongdao Wang, Weihua Chen +2
Current person image retrieval methods have achieved great improvements in accuracy metrics. However, they rarely describe the reliability of the prediction. In this paper, we prop…
Portrait Interpretation and a Benchmark
Yixuan Fan, Zhaopeng Dou, Yali Li +1
We propose a task we name Portrait Interpretation and construct a dataset named Portrait250K for it. Current researches on portraits such as human attribute recognition and person…
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Jialun Liu, Yifan Sun, Chuchu Han +2
This paper considers learning deep features from long-tailed data. We observe that in the deep feature space, the head classes and the tail classes present different distribution p…