activity
20242026
collaborators

38 papers

cs.CV2026

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving

Zhijing Cheng, Xuancheng Zhang, Donglin Di +4

End-to-end autonomous driving systems commonly follow a cascaded two-stage pipeline where a perception stage compresses multi-modal sensor inputs into a compact context and a downs…

cs.CV2026

TextGaze: Prompting Gaze Target Estimation with Textual Scene Cues

Junhui She, Fei Wang, Kun Li +4

Gaze target estimation aims to infer the position of a person's gaze within a scene. Within mainstream design logic, multi-branch methods require extra supervision and annotations,…

cs.CV2026

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection

Wenlin Wu, Sheng Zhou, Peipei Song +3

As video generation paradigms evolve from localized manipulation to full-scene synthesis, AI-generated video detection becomes increasingly challenging, as forgeries exhibit cohere…

cs.AI2026

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy

Zhiyuan Han, Beier Zhu, Wenwen Tong +8

We find that explicit reasoning does not necessarily translate into better multimodal emotion recognition (MER) accuracy, even though it makes predictions more interpretable. Speci…

cs.AI2026

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning

Zhiyuan Han, Beier Zhu, Wenwen Tong +6

We find that current emotion-oriented Omni-MLLMs still lack reliable omni-modal perception: they (i) underutilize multimodal cues in their reasoning trajectories and (ii) exhibit u…

cs.CV2026

A New Multi-Domain Benchmark for Micro-Action Recognition and Detection

Yanbin Hao, Pengyu Liu, Xing Wei +3

Micro-actions are short-duration, low-amplitude subtle body movements at the whole-body level that can reveal latent intentions, involuntary reactions, and fine-grained affective c…