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Zhenqiao Yuan

2 accepted papers

2026

Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation

CVPR 2026

Existing visual trackers mainly operate in a non-interactive, fire-and-forget manner, making them impractical for real-world scenarios that require human-in-the-loop adaptation. To overcome this limitation, we introduce Interactive Tracking, a new paradigm that allows users to guide the tracker at a

Cited by 0SourcecodeScholar
2025

Deep Kernel Relative Test for Machine-generated Text Detection

ICLR 2025poster

Recent studies demonstrate that two-sample test can effectively detect machine-generated texts (MGTs) with excellent adaptation ability to texts generated by newer LLMs. However, two-sample test-based detection relies on the assumption that human-written texts (HWTs) must follow the distribution of…