9 citations · 22 across the 11 of their papers we have counts for
11 papers
Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
Hao Tang, Yu Liu, Shuanglin Yan +3
Reliable zero-shot detection of out-of-distribution (OOD) inputs is critical for deploying vision-language models in open-world settings. However, the lack of labeled negatives in…
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification
Neng Dong, Shuanglin Yan, Liyan Zhang +1
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging task due to the large modality discrepancy between visible and infrared images, which complicates the alignment…
ShapeSpeak: Body Shape-Aware Textual Alignment for Visible-Infrared Person Re-Identification
Shuanglin Yan, Neng Dong, Shuang Li +3
Visible-Infrared Person Re-identification (VIReID) aims to match visible and infrared pedestrian images, but the modality differences and the complexity of identity features make i…
Embedding and Enriching Explicit Semantics for Visible-Infrared Person Re-Identification
Neng Dong, Shuanglin Yan, Liyan Zhang +1
Visible-infrared person re-identification (VIReID) retrieves pedestrian images with the same identity across different modalities. Existing methods learn visual content solely from…
Prototypical Prompting for Text-to-image Person Re-identification
Shuanglin Yan, Jun Liu, Neng Dong +2
In this paper, we study the problem of Text-to-Image Person Re-identification (TIReID), which aims to find images of the same identity described by a text sentence from a pool of c…
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Neng Dong, Shuanglin Yan, Hao Tang +2
Occluded person re-identification (re-ID) presents a challenging task due to occlusion perturbations. Although great efforts have been made to prevent the model from being disturbe…
Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification
Shuanglin Yan, Neng Dong, Jun Liu +2
Text-to-image person re-identification (TIReID) retrieves pedestrian images of the same identity based on a query text. However, existing methods for TIReID typically treat it as a…
MNet: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Hao Tang, Jun Liu, Shuanglin Yan +3
Due to the scarcity of manually annotated data required for fine-grained video understanding, few-shot fine-grained (FS-FG) action recognition has gained significant attention, wit…
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Neng Dong, Liyan Zhang, Shuanglin Yan +2
Occlusion perturbation presents a significant challenge in person re-identification (re-ID), and existing methods that rely on external visual cues require additional computational…
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…
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…