Yang Shen

Orcid: 0000-0002-6344-9951

According to our database1, Yang Shen authored at least 19 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
An Empirical Study on Training Paradigms for Deep Supervised Hashing.
Int. J. Comput. Vis., October, 2025

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.
Int. J. Comput. Vis., June, 2025

UniCanvas: Affordance-Aware Unified Real Image Editing via Customized Text-to-Image Generation.
Int. J. Comput. Vis., June, 2025

Efficient Token Compression for Vision Transformer with Spatial Information Preserved.
CoRR, March, 2025

Equiangular Basis Vectors: A Novel Paradigm for Classification Tasks.
Int. J. Comput. Vis., January, 2025

Prune and Merge: Efficient Token Compression for Vision Transformer With Spatial Information Preserved.
IEEE Trans. Multim., 2025

LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Few-shot open-set recognition via pairwise discriminant aggregation.
Neurocomputing, 2024

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization.
CoRR, 2024

Customized Generation Reimagined: Fidelity and Editability Harmonized.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.
CoRR, 2023

Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Equiangular Basis Vectors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Webly-Supervised Fine-Grained Recognition with Partial Label Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Channel Mix Method for Fine-Grained Cross-Modal Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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