Hao Tang

Orcid: 0000-0002-6973-8121

Affiliations:
  • Nanjing University of Science and Technology, China


According to our database1, Hao Tang authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Multi-view Information Integration and Propagation for occluded person re-identification.
Inf. Fusion, April, 2024

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency.
CoRR, 2024

Delving into Multimodal Prompting for Fine-Grained Visual Classification.
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

Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples.
CoRR, 2023

M<sup>3</sup>Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition.
CoRR, 2023

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification.
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
Learning attention-guided pyramidal features for few-shot fine-grained recognition.
Pattern Recognit., 2022

Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search.
CoRR, 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

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


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