collaborators

5 papers

cs.CV2026

TimePLE: Rethinking Temporal Representation for Video Temporal Grounding

Yuhui Zeng, Xinyu Mao, Xiaokun Liu +4

Video temporal grounding (VTG) aims to localize the continuous video interval described by a natural-language query. However, current VLM-based methods typically produce this inter…

cs.CV2026

WaveZip: Wavelet-Driven Space-Time Decoupling for Video Token Condensation

Yuhui Zeng, Wang Chen, Jinfa Huang +5

Existing Large Vision-Language Models (LVLMs) struggle with long-form video understanding due to the quadratic computational cost of visual tokens. While recent efficient methods a…

cs.AI2026

SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models

Tianyu Xie, Jinfa Huang, Yuexiao Ma +11

Omni-modal large language models (OLMs) redefine human-machine interaction by natively integrating audio, vision, and text. However, existing OLM benchmarks remain anchored to stat…

cs.AI2026

CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning

Xinyu Mao, Yuhui Zeng, Xiaokun Liu +6

Cinematographic captioning aims to describe how a video is filmed using professional film-language concepts such as camera movement, shot size, depth of field, composition, and sho…

cs.CV2025

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning

Yuhui Zeng, Haoxiang Wu, Wenjie Nie +6

Current object detectors excel at entity localization and classification, yet exhibit inherent limitations in event recognition capabilities. This deficiency arises from their arch…