5 papers · 1 filter
Manifold4D: Denoising on Point Cloud Rendered Manifolds for Video Re-shooting
Yongqi Mao, Zijia Dai, Zhishuo Liu +3
Video re-shooting is the task of re-rendering a monocular video of a dynamic scene along a user-specified camera trajectory. A dominant paradigm explicitly provides the target geom…
AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition
Zeheng Wang, Zitong Yu, Yijie Zhu +9
LLM-based multimodal emotion recognition relies on static parametric memory and often hallucinates when interpreting nuanced affective states. In this paper, given that single-roun…
Complementarity-Supervised Spectral-Band Routing for Multimodal Emotion Recognition
Zhexian Huang, Bo Zhao, Hui Ma +5
Multimodal emotion recognition fuses cues such as text, video, and audio to understand individual emotional states. Prior methods face two main limitations: mechanically relying on…
AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection
Zhishu Liu, Kaishen Yuan, Bo Zhao +2
Micro-expression Action Unit (AU) detection identifies localized AUs from subtle facial muscle activations, providing a foundation for decoding affective cues. Previous methods fac…
AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion
Zhishu Liu, Kaishen Yuan, Bo Zhao +2
The detection of micro-expression Action Units (AUs) is a formidable challenge in affective computing, pivotal for decoding subtle, involuntary human emotions. While Large Language…