Hao Tang

According to our database, Hao Tang authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fine-grained Image Retrieval via Dual-Vision Adaptation.

Xin Jiang, Meiqi Cao, Hao Tang, Fei Shen, Zechao Li

CoRR, June, 2025

ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection.

Peng Xing, Hao Tang, Jinhui Tang, Zechao Li

IEEE Trans. Neural Networks Learn. Syst., April, 2025

ShapeSpeak: Body Shape-Aware Textual Alignment for Visible-Infrared Person Re-Identification.

Shuanglin Yan, Neng Dong, Shuang Li, Rui Yan, Hao Tang, Jing Qin

CoRR, April, 2025

Rethinking Vision Transformer for Large-Scale Fine-Grained Image Retrieval.

Xin Jiang, Hao Tang, Yonghua Pan, Zechao Li

CoRR, April, 2025

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

Zhicheng Zhang, Hao Tang, Jinhui Tang

CoRR, April, 2025

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection.

Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, Jinhui Tang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection.

Yu Liu, Hao Tang, Haiqi Zhang, Jing Qin, Zechao Li

CoRR, March, 2025

Modality-Specific Interactive Attack for Vision-Language Pre-Training Models.

Haiqi Zhang, Hao Tang, Yanpeng Sun, Shengfeng He, Zechao Li

IEEE Trans. Inf. Forensics Secur., 2025

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

Zhicheng Zhang, Hao Tang, Jinhui Tang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Image-Specific Information Suppression and Implicit Local Alignment for Text-Based Person Search.

Shuanglin Yan, Hao Tang, Liyan Zhang, Jinhui Tang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval.

Xin Jiang, Hao Tang, Zechao Li

IEEE Trans. Knowl. Data Eng., November, 2024

Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples.

Ziye Fang, Xin Jiang, Hao Tang, Zechao Li

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification.

Neng Dong, Liyan Zhang, Shuanglin Yan, Hao Tang, Jinhui Tang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Multi-view Information Integration and Propagation for occluded person re-identification.

Neng Dong, Shuanglin Yan, Hao Tang, Jinhui Tang, Liyan Zhang

Inf. Fusion, April, 2024

DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines.

Xin Jiang, Hao Tang, Rui Yan, Jinhui Tang, Zechao Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning with Unreliability: Fast Few-Shot Voxel Radiance Fields with Relative Geometric Consistency.

Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, Shengfeng He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Delving into Multimodal Prompting for Fine-Grained Visual Classification.

Xin Jiang, Hao Tang, Junyao Gao, Xiaoyu Du, Shengfeng He, Zechao Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boosting Few-Shot Fine-Grained Recognition With Background Suppression and Foreground Alignment.

Zican Zha, Hao Tang, Yunlian Sun, Jinhui Tang

IEEE Trans. Circuits Syst. Video Technol., August, 2023

M³Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition.

Hao Tang, Jun Liu, Shuanglin Yan, Rui Yan, Zechao Li, Jinhui Tang

CoRR, 2023

M3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition.

Hao Tang, Jun Liu, Shuanglin Yan, Rui Yan, Zechao Li, Jinhui Tang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Learning attention-guided pyramidal features for few-shot fine-grained recognition.

Hao Tang, Chengcheng Yuan, Zechao Li, Jinhui Tang

Pattern Recognit., 2022

2021

Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining.

Di Wang, Hao Tang, Jinshan Pan, Jinhui Tang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Coupled Patch Similarity Network FOR One-Shot Fine-Grained Image Recognition.

Sheng Tian, Hao Tang, Longquan Dai

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

BlockMix: Meta Regularization and Self-Calibrated Inference for Metric-Based Meta-Learning.

Hao Tang, Zechao Li, Zhimao Peng, Jinhui Tang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020