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Yuzhi Huang

2 accepted papers

2026

Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World

CVPR 2026

Humans inhabit a physical 4D world, where spatial geometry and semantic content evolve over time, forming a dynamic reality. While current Multimodal Large Language Models (MLLMs) demonstrate strong capabilities in understanding static visual inputs, it remains unclear whether they can effectively "

Cited by 0SourcecodeScholar
2025

Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline

CVPR 2025poster

Video anomaly detection (VAD) is crucial in scenarios such as surveillance and autonomous driving, where timely detection of unexpected activities is essential. Albeit existing methods have primarily focused on detecting anomalous objects in videos--either by identifying anomalous frames or objects-…

Cited by 0SourcePDFScholar