8 citations · 18 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
Xinyang Li, Siqi Liu, Bochao Zou +2
As large language models evolve, there is growing anticipation that they will emulate human-like Theory of Mind (ToM) to assist with routine tasks. However, existing methods for ev…
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…
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
Chengbo He, Bochao Zou, Junliang Xing +3
In human-AI collaboration, a central challenge is deciding whether the AI should handle a task, be deferred to a human expert, or be addressed through collaborative effort. Existin…
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents
Chengbo He, Bochao Zou, Xin Li +3
Agents have demonstrated their potential in scientific reasoning tasks through large language models. However, they often face challenges such as insufficient accuracy and degenera…