Learning attention-guided pyramidal features for few-shot fine-grained recognition H Tang, C Yuan, Z Li, J Tang
Pattern Recognition (PR), 2022
189 2022 BlockMix: meta regularization and self-calibrated inference for metric-based meta-learning H Tang, Z Li, Z Peng, J Tang
ACM International Conference on Multimedia (MM Oral), 2020
117 2020 Knowledge-guided semantic transfer network for few-shot image recognition Z Li, H Tang, Z Peng, GJ Qi, J Tang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
103 2023 Boosting few-shot fine-grained recognition with background suppression and foreground alignment Z Zha, H Tang, Y Sun, J Tang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
87 2023 Image-specific information suppression and implicit local alignment for text-based person search S Yan, H Tang, L Zhang, J Tang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
79 2023 M H Tang, J Liu, S Yan, R Yan, Z Li, J Tang
ACM International Conference on Multimedia (MM), 2023
32 2023 Multi-view Information Integration and Propagation for Occluded Person Re-identification N Dong, S Yan, H Tang, J Tang, L Zhang
Information Fusion, 2024
30 2024 Erasing, transforming, and noising defense network for occluded person re-identification N Dong, L Zhang, S Yan, H Tang, J Tang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
30 2023 Learning a tree-structured channel-wise refinement network for efficient image deraining D Wang*, H Tang*, J Pan, J Tang
IEEE International Conference on Multimedia and Expo (ICME), 2021
20 2021 Coupled patch similarity network for one-shot fine-grained image recognition S Tian, H Tang, L Dai
IEEE International Conference on Image Processing (ICIP), 2021
15 2021 Delving into Multimodal Prompting for Fine-grained Visual Classification X Jiang*, H Tang*, J Gao, X Du, S He, Z Li
AAAI Conference on Artificial Intelligence (AAAI), 2024
13 2024 Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples Z Fang, X Jiang, H Tang, Z Li
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
12 2024 ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection P Xing, H Tang, J Tang, Z Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
8 * 2024 Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval X Jiang, H Tang, Z Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
3 2024 Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency Y Xu, B Liu, H Tang, B Deng, S He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
3 2024 Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection H Tang, Z Li, D Zhang, S He, J Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
2 2024 DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines X Jiang, H Tang, R Yan, J Tang, Z Li
ACM International Conference on Multimedia (MM), 2024
1 2024 Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition Z Zhang, H Tang, J Tang
AAAI Conference on Artificial Intelligence (AAAI), 2025
2025 
Zechao Li (李泽超)Professor, Nanjing University of Science and TechnologyCorreu electrònic verificat a njust.edu.cn