Ziyue Huang

Orcid: 0009-0008-8452-5539

Affiliations:
  • Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
  • Beihang University, Hangzhou Innovation Institute, Hangzhou, China


According to our database1, Ziyue Huang authored at least 13 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation.
CoRR, April, 2025

A Survey on Remote Sensing Foundation Models: From Vision to Multimodality.
CoRR, March, 2025

OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images.
CoRR, March, 2025

2024
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images.
IEEE Trans. Intell. Transp. Syst., October, 2024

Generic Knowledge Boosted Pretraining for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Generic Knowledge Boosted Pre-training For Remote Sensing Images.
CoRR, 2024

PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Building Detection From Panchromatic and Multispectral Images With Dual-Stream Asymmetric Fusion Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DUA-DA: Distillation-based Unbiased Alignment for Domain Adaptive Object Detection.
CoRR, 2023

Incremental Object Detection with CLIP.
CoRR, 2023

Context-Enhanced Detector For Building Detection From Remote Sensing Images.
CoRR, 2023


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