Zixi Yang — accepted AI-conference papers

2026

EthoCLIP: Ontology-Enhanced Video-Language Pretraining for Animal Behavior Understanding

Yinuo Jing, Jinyan Wu, Zixi Yang, Kongming Liang, Xiatian Zhu, Zhanyu Ma

CVPR 2026

Vision-language models (VLMs) have achieved remarkable success across numerous domains, yet they lag significantly in animal behavior understanding due to severe data scarcity. Annotated animal behavior videos are prohibitively expensive and time-consuming to collect, requiring domain expertise and

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2026

RO-BENCH: LARGE-SCALE ROBUSTNESS EVALUATION OF MLLMS WITH TEXT-DRIVEN COUNTERFACTUAL VIDEOS

Zixi Yang

ICASSP 2026poster

Recently, Multi-modal Large Language Models (MLLMs) have demonstrated significant performance across various video understanding tasks. However, their robustness, particularly when faced with manipulated video content, remains largely unexplored. In this paper, we introduce Ro-Bench, the first bench…

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