923 citations · 1k across the 7 of their papers we have counts for
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Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
Yingying Fan, Yu Wu, Bo Du +1
We focus on the weakly-supervised audio-visual video parsing task (AVVP), which aims to identify and locate all the events in audio/visual modalities. Previous works only concentra…
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning
Zhihao Qian, Yutian Lin, Bo Du
Visible-infrared person re-identification (VI-ReID) aims to retrieve images of the same pedestrian from different modalities, where the challenges lie in the significant modality d…
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo, Tianhao Zhao, Yutian Lin +1
Recently contrastive learning has shown significant progress in learning visual representations from unlabeled data. The core idea is training the backbone to be invariant to diffe…
Unsupervised Person Re-identification with Stochastic Training Strategy
Tianyang Liu, Yutian Lin, Bo Du
Unsupervised person re-identification (re-ID) has attracted increasing research interests because of its scalability and possibility for real-world applications. State-of-the-art u…
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Zheng Wang, Xin Yuan, Toshihiko Yamasaki +3
Re-identification (re-ID) is currently investigated as a closed-world image retrieval task, and evaluated by retrieval based metrics. The algorithms return ranking lists to users,…
Unsupervised Person Re-identification via Softened Similarity Learning
Yutian Lin, Lingxi Xie, Yu Wu +2
Person re-identification (re-ID) is an important topic in computer vision. This paper studies the unsupervised setting of re-ID, which does not require any labeled information and…
Improving Person Re-identification by Attribute and Identity Learning
Yutian Lin, Liang Zheng, Zhedong Zheng +4
Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions. Their difference consists in the granularity. Most existing re…