activity
20222025
most citedBoosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

154 citations · 173 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition

Zhicheng Zhang, Hao Tang, Jinhui Tang

Given the critical role of birds in ecosystems, Fine-Grained Bird Recognition (FGBR) has gained increasing attention, particularly in distinguishing birds within similar subcategor…

cs.CV2023★ 4 cited

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…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2022★ 3 cited

ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection

Peng Xing, Hao Tang, Jinhui Tang +1

Knowledge Distillation-based Anomaly Detection (KDAD) methods rely on the teacher-student paradigm to detect and segment anomalous regions by contrasting the unique features extrac…

cs.CV2022★ 154 cited

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…

cs.CV2022★ 9 cited

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…