Hao Tang
Orcid: 0000-0002-6973-8121Affiliations:
- Nanjing University of Science and Technology, China
According to our database1,
Hao Tang
authored at least 16 papers
between 2020 and 2025.
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Bibliography
2025
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025
2024
Image-Specific Information Suppression and Implicit Local Alignment for Text-Based Person Search.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval.
IEEE Trans. Knowl. Data Eng., November, 2024
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., June, 2024
Multi-view Information Integration and Propagation for occluded person re-identification.
Inf. Fusion, April, 2024
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Boosting Few-Shot Fine-Grained Recognition With Background Suppression and Foreground Alignment.
IEEE Trans. Circuits Syst. Video Technol., August, 2023
M<sup>3</sup>Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition.
CoRR, 2023
M3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Pattern Recognit., 2022
2021
Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
BlockMix: Meta Regularization and Self-Calibrated Inference for Metric-Based Meta-Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020