343 citations · 2.4k across the 46 of their papers we have counts for
48 papers
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Fei Shen, Xiaoyu Du, Liyan Zhang +2
Part feature learning is critical for fine-grained semantic understanding in vehicle re-identification. However, existing approaches directly model part features and global feature…
CLIP-Driven Fine-grained Text-Image Person Re-identification
Shuanglin Yan, Neng Dong, Liyan Zhang +1
TIReID aims to retrieve the image corresponding to the given text query from a pool of candidate images. Existing methods employ prior knowledge from single-modality pre-training t…
Centralized Feature Pyramid for Object Detection
Yu Quan, Dong Zhang, Liyan Zhang +1
Visual feature pyramid has shown its superiority in both effectiveness and efficiency in a wide range of applications. However, the existing methods exorbitantly concentrate on the…
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Zican Zha, Hao Tang, Yunlian Sun +1
Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-grained categories with the help of limited available samples. Undoubtedly, this task inherits the main chal…
Graph Reasoning Transformer for Image Parsing
Dong Zhang, Jinhui Tang, Kwang-Ting Cheng
Capturing the long-range dependencies has empirically proven to be effective on a wide range of computer vision tasks. The progressive advances on this topic have been made through…
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Shuanglin Yan, Hao Tang, Liyan Zhang +1
Text-based person search (TBPS) is a challenging task that aims to search pedestrian images with the same identity from an image gallery given a query text. In recent years, TBPS h…