MMSP-P14: Multimodal Fusion for Sentiment and Emotion Recognition
Poster
Wed, 6 May, 16:30 - 18:30
Location: Poster Area 42
Session Type: Poster
Track: Multimedia Signal Processing [MM]
Click the to view the manuscript on IEEE Xplore Open Preview

MMSP-P14.1: HMVLA: HYPERBOLIC MULTIMODAL FUSION FOR VISION-LANGUAGE-ACTION MODELS
Kun Wang, Xiao Feng, Mingcheng Qu, Tonghua Su, Harbin Institute of Technology, China

MMSP-P14.2: ENTROPY-GUIDED DATA-EFFICIENT TRAINING FOR MULTIMODAL REASONING REWARD MODELS
Shidong Yang, Tsinghua University, China; Tongwen Huang, Hao Wen, Yong Wang, Alibaba Group, China; Li Chen, Tsinghua University, China; Xiangxiang Chu, Alibaba Group, China

MMSP-P14.3: Clue2Emo: A Brain-Inspired Framework for Open-Vocabulary Multimodal Emotion Recognition
Ziyun Zhang, Beijing Institute of Technology, China; Jian Chen, University of Hong Kong, China; Yuxuan Hu, City University of Hong Kong, China; Zhen Zhang, Shenzhen MSU-BIT University, China; Xiaoyan Yuan, Beijing Institute of Technology, China; Min Yang, Chinese Academy of Sciences, China; Xiangyu Zhao, City University of Hong Kong, China; Edith Ngai, University of Hong Kong, China; Chengming Li, Shenzhen MSU-BIT University, China; Xiping Hu, Beijing Institute of Technology, China

MMSP-P14.4: COME: Towards Superior Embeddings for Multimodal RAG With Heterogeneous Input
xinyang huang, Beijing University of Posts and Telecommunications, China; shaozu yuan, peiying wang, meituan, China

MMSP-P14.5: RATIONALE-GUIDED LEARNING FOR MULTIMODAL EMOTION RECOGNITION
Sujung Oh, Sungkyunkwan University, Korea, Republic of; Jung Uk Kim, Kyung Hee University, Korea, Republic of; Sangmin Lee, Korea University, Korea, Republic of

MMSP-P14.6: DEPMPK: MULTI-PERSPECTIVE KNOWLEDGE FUSION FOR MULTIMODAL DEPRESSION DETECTION
Beiying Yang, Wuhan University, China; Lu Zhou, Haixin Wang, Yingying Chen, Jinqiao Wang, Institute of Automation, Chinese Academy of Sciences, China; Kehua Su, Wuhan University, China

MMSP-P14.7: Bimodal Fusion Framework for Dynamic Facial Expression Recognition in-the-wild
Bohui Yang, Lilin Luo, Xiaojia Wang, Chunfeng Yang, Southeast University, China; Wentao Xiang, Nanjing Medical University, China

MMSP-P14.8: A-MSA: ADVERSARIAL FEATURE DISENTANGLEMENT FOR MULTIMODAL SENTIMENT ANALYSIS
Lianmin Zhou, Jue Feng, Haoyu Xiong, Yuanyuan Pu, Zhengpeng Zhao, Yunnan University, China

MMSP-P14.9: HYBRID PROGRESSIVE FUSION NETWORK FOR MULTIMODAL SENTIMENT ANALYSIS
Xiang Li, Beihang University, China; Jidong Leng, Beijing University of Posts and Telecommunications, China; Xianfu Cheng, Tianbo Wang, Xiaoming Zhang, Beihang University, China

MMSP-P14.10: LETPAV: LEXICON-ENHANCED TEXT WITH PROGRESSIVE AUDIO-VISUAL FUSION FOR MULTIMODAL SENTIMENT ANALYSIS
Jiaxun Li, Yuanpeng Wang, Wei Li, Jiale Chen, Yuehai Wang, Zhejiang University, China

MMSP-P14.11: DUAL-PERSPECTIVE MULTIMODAL SENTIMENT ANALYSIS WITH MOE FUSION: REPRESENTATION LEARNING VIA SEMANTIC RESONANCE AND DIVERGENCE
Kaiwei Sun, Yixian Guo, Jin Wang, Xin Deng, Chongqing University of Posts and Telecommunications, China

MMSP-P14.12: NeuroSIFT: A Biologically-Inspired Framework with Explicit Signal-Noise Separation for Robust Multimodal Emotion Recognition
Gang Xie, Jiajia Tang, Tianyang Qin, Yiwen Shen, Wanzeng Kong, Hangzhou Dianzi University, China