13 papers
DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning
Jiajian Huang, Dongliang Zhu, Zitong YU +4
Multimodal deception detection aims to identify deceptive behavior by analyzing audiovisual cues for forensics and security. In these high-stakes settings, investigators need verif…
PACT: Proactive Asking for Continual Task Assistance in Human-Robot Collaboration
Chengbo He, Sheng Li, Chenyang Ma +6
Robotic assistants in long-term human-robot collaboration need to assist users under partial observations while leveraging cross-day interaction history. However, human traits and…
Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models
Siqi Liu, Xinyang Li, Bochao Zou +3
As large language models (LLMs) continue to advance, there is increasing interest in their ability to infer human mental states and demonstrate a human-like Theory of Mind (ToM). M…
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
Yunhao Hou, Bochao Zou, Min Zhang +7
By sharing information across multiple agents, collaborative perception helps autonomous vehicles mitigate occlusions and improve overall perception accuracy. While most previous w…
Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
Zizheng Guo, Bochao Zou, Yinuo Jia +2
Micro-expressions (MEs) are involuntary, low-intensity, and short-duration facial expressions that often reveal an individual's genuine thoughts and emotions. Most existing ME anal…
ME-TST+: Micro-expression Analysis via Temporal State Transition with ROI Relationship Awareness
Zizheng Guo, Bochao Zou, Junbao Zhuo +1
Micro-expressions (MEs) are regarded as important indicators of an individual's intrinsic emotions, preferences, and tendencies. ME analysis requires spotting of ME intervals withi…