collaborators

11 papers

cs.CV2026

PhysAgent: A Multi-Agent Framework for Reliable Remote Heart Rate Estimation

Yehui Yang, Bo Zhao, Junzhe Cao +4

Remote photoplethysmography (rPPG) enables non-contact heart-rate estimation from facial videos, but its weak physiological signal is easily corrupted by motion, illumination chang…

cs.CV2026

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs

Taorui Wang, Wei Xia, Hui Ma +5

Micro-gesture recognition demands the detection of fleeting, spatially localized movements that are frequently overwhelmed by dominant static appearances and background noise. Whil…

cs.CV2026

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs

Ziqi Wang, Chang Che, Qi Wang +4

While continual visual instruction tuning (CVIT) has shown promise in adapting multimodal large language models (MLLMs), existing studies predominantly focus on models without safe…

cs.CV2026

StrLoRA: Towards Streaming Continual Visual Instruction Tuning for MLLMs

Chang Che, Ziqi Wang, Hui Ma +2

Continual Visual Instruction Tuning (CVIT) enables Multimodal Large Language Models to incrementally acquire new abilities. However, existing CVIT methods operate under a restricti…

cs.LG2026

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition

Zeheng Wang, Bo Zhao, Yijie Zhu +6

Multimodal emotion recognition aims to integrate text, audio, and video sources to understand human affective states. Although multimodal large language models excel at multimodal…

cs.CV2026

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning

Chang Che, Ziqi Wang, Pengwan Yang +3

Continual Visual Instruction Tuning (CVIT) enables Multimodal Large Language Models (MLLMs) to incrementally learn new tasks over time. However, this process is challenged by catas…