Xiaosu Zhu

Orcid: 0000-0001-7728-2518

According to our database1, Xiaosu Zhu authored at least 14 papers between 2019 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Revisiting Multi-Codebook Quantization.
IEEE Trans. Image Process., 2023

Spherical Centralized Quantization for Fast Image Retrieval.
IEEE Trans. Image Process., 2023

End-to-End Pre-Training With Hierarchical Matching and Momentum Contrast for Text-Video Retrieval.
IEEE Trans. Image Process., 2023

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CUCL: Codebook for Unsupervised Continual Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
A Lower Bound of Hash Codes' Performance.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Fast Gradient Non-sign Methods.
CoRR, 2021

Staircase Sign Method for Boosting Adversarial Attacks.
CoRR, 2021

Camera-Agnostic Person Re-Identification via Adversarial Disentangling Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
3D Self-Attention for Unsupervised Video Quantization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Deep Recurrent Quantization for Generating Sequential Binary Codes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The Research of Chinese Ethnical Face Recognition Based on Deep Learning.
Proceedings of the Web and Big Data, 2019


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