Yitong Qin — accepted AI-conference papers

2026

Domain Adaptive Object Detection via Dynamic Causal Refinement

Zeyu Ma, Jiaqi Huang, Yitong Qin, Ziqiang Zheng, Jiwei Wei, Jie Zou +2

ICML 2026poster

Domain Adaptive Object Detection (DAOD) addresses the challenge of transferring object detectors from labeled source domains to unlabeled target domains. Existing domain adaptation methods primarily rely on feature distribution alignment, which enhances domain-invariant features (statistical invaria…

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2026

ViTPrompt: Training-Free Prompt Refinement with Visual Tokens for Open-Vocabulary Detection

Yitong Qin, Lihua Zhou, Jiwei Wei, Ran Ran, Shiyuan He, Zeyu Ma +3

CVPR 2026

Test-Time Adaptive Object Detection (TTAOD) aims to maintain detection performance under distribution shifts without retraining. While recent vision-language models enable open-vocabulary detection, existing TTAOD methods--whether closed-set or open-vocabulary--focus exclusively on improving classif

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