collaborators

17 papers

cs.CV2026

TAU-Bench: From Anomaly Instance Tracking to Fine-Grained Video Anomaly Understanding

Kepeng Yang, Dongxuan Liu, Rongxin Gao +8

Humans understand anomalous events through a coherent perceptual process in which they identify the focal instance, follow its behavior as the event unfolds, and interpret why it v…

cs.CL2026

Harsher on Male? Evaluating LLMs on Gender-Asymmetric Moral Framing Across Diverse Conflict Scenarios

Guangzong Si, Dong Wang, Zhenhao Li +3

Existing studies on gender bias in LLMs have largely focused on stereotypes, occupational associations, or explicit harmful outputs. In this work, we ask whether LLMs apply consist…

cs.CV2026

IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams

Jinzhao Li, Yinuo Chen, Wenxuan Song +5

Recent multimodal large language models (MLLMs) achieve strong performance on reactive question answering, but real-world streaming assistants require proactive reasoning over cont…

cs.CV2026

EgoProx: Evaluating MLLMs on Egocentric 3D Proximity Reasoning Across a Cognitive Hierarchy

Jinzhao Li, Yinuo Chen, Dongxu Piao +9

Humans constantly reason about 3D proximity, the relations between their body and surrounding objects, to guide perception and action in daily life. Whether multimodal large langua…

cs.CV2026

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models

Panwang Pan, Chenguo Lin, Jingjing Zhao +8

We introduce Diff4Splat, a feed-forward method that synthesizes controllable and explicit 4D scenes from a single image. Our approach unifies the generative priors of video diffusi…

cs.GR2026

ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies

Jinyan Yuan, Bangbang Yang, Keke Wang +6

Automating immersive VR scene creation remains a primary research challenge. Existing methods typically rely on complex geometry with post-simplification, resulting in inefficient…