collaborators

20 papers

cs.CV2026

LightAIR: Lightweight Action Inversion and Riemannian Rectification for Text-based Person Anomaly Search

Yulun Zhang, Zixu Li, Zhiwei Chen +6

Traditional Text-based Person Search (TPS) is typically limited to matching static appearance attributes, severely neglecting dynamic action information. The Text-based Person Anom…

cs.CV2026

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering

Yuqian Fu, Tianwen Qian, Yanjun Li +30

EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scena…

cs.CV2026

RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval

Jiale Huang, Zixu Li, Zhiheng Fu +3

Composed Image Retrieval (CIR) constitutes a pivotal paradigm requiring models to perform joint reasoning on reference images and modification texts. However, the prevalence of Noi…

cs.CV2026

IMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrieval

Jiale Huang, Zixu Li, Zhiwei Chen +3

Composed Video Retrieval (CVR) is designed to retrieve a target video that matches a reference video modified by a modification text. While existing methods explore cross-modal cor…

cs.CV2026

R^3: Composed Video Retrieval via Reasoning-Guided Recalling and Re-ranking

Zixu Li, Yupeng Hu, Zhiheng Fu +3

The CoVR-R challenge evaluates composed video retrieval, where a system must retrieve a target video from a large gallery given a reference video and a textual edit instruction. Th…

cs.CV2026

EgoAdapt: A Multi-Scene Egocentric Adaptation Method for CVPR 2026 HD-EPIC VQA Challenge

Zhiwei Chen, Yupeng Hu, Zixu Li +4

This technical report presents our solution, EgoAdapt (Egocentric Adaptation via Category, Calibration, and Consistency), to the CVPR 2026 HD-EPIC VQA challenge. HD-EPIC evaluates…