37 citations · 56 across the 7 of their papers we have counts for
7 papers
Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search
Guanshuo Wang, Fufu Yu, Junjie Li +2
Text-based Person Search (TPS), is targeted on retrieving pedestrians to match text descriptions instead of query images. Recent Vision-Language Pre-training (VLP) models can bring…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
Domain Adaptive Person Search
Junjie Li, Yichao Yan, Guanshuo Wang +3
Person search is a challenging task which aims to achieve joint pedestrian detection and person re-identification (ReID). Previous works have made significant advances under fully…
Solution for Large-scale Long-tailed Recognition with Noisy Labels
Yuqiao Xian, Jia-Xin Zhuang, Fufu Yu
This is a technical report for CVPR 2021 AliProducts Challenge. AliProducts Challenge is a competition proposed for studying the large-scale and fine-grained commodity image recogn…
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
Guanyu Cai, Jun Zhang, Xinyang Jiang +7
Text-based image retrieval has seen considerable progress in recent years. However, the performance of existing methods suffers in real life since the user is likely to provide an…
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang, Xinyang Jiang, Hao Cheng +7
Current training objectives of existing person Re-IDentification (ReID) models only ensure that the loss of the model decreases on selected training batch, with no regards to the p…
Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification
Fufu Yu, Xinyang Jiang, Yifei Gong +5
Although Person Re-Identification has made impressive progress, difficult cases like occlusion, change of view-pointand similar clothing still bring great challenges. Besides overa…