Siyuan Huang

Orcid: 0009-0009-6943-7116

Affiliations:
  • Johns Hopkins University, Whiting School of Engineering, MD, USA


According to our database1, Siyuan Huang authored at least 13 papers between 2023 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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On csauthors.net:

Bibliography

2026
AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification.
CoRR, April, 2026

SciFig: Towards Automating Scientific Figure Generation.
CoRR, January, 2026

2025
Distillation-Guided Representation Learning for Unconstrained Video Human Authentication.
IEEE Trans. Biom. Behav. Identity Sci., October, 2025

Whole-Body Detection, Identification and Recognition at Altitude and Range.
IEEE Trans. Biom. Behav. Identity Sci., July, 2025

VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification.
Proceedings of the IEEE International Joint Conference on Biometrics, 2025

Mind the Gap: Bridging Occlusion in Gait Recognition via Residual Gap Correction.
Proceedings of the IEEE International Joint Conference on Biometrics, 2025

Multi-Domain Biometric Recognition using Body Embeddings.
Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition, 2025

Cross-Spectral Body Recognition with Side Information Embedding: Benchmarks on LLCM and Analyzing Range-Induced Occlusions on IJB-MDF.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks.
CoRR, 2024

Distillation-guided Representation Learning for Unconstrained Gait Recognition.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024

2023
Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification.
CoRR, 2023

Whole-body Detection, Recognition and Identification at Altitude and Range.
CoRR, 2023


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