most citedText-oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning

Mingcheng Li, Dingkang Yang, Yang Liu +11

Multimodal Sentiment Analysis (MSA) is an important research area that aims to understand and recognize human sentiment through multiple modalities. The complementary information p…

cs.CV2024

Towards Context-Aware Emotion Recognition Debiasing from a Causal Demystification Perspective via De-confounded Training

Dingkang Yang, Kun Yang, Haopeng Kuang +3

Understanding emotions from diverse contexts has received widespread attention in computer vision communities. The core philosophy of Context-Aware Emotion Recognition (CAER) is to…

cs.RO2024

Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped robots

Taixian Hou, Jiaxin Tu, Xiaofei Gao +3

Electric quadruped robots used in outdoor exploration are susceptible to leg-related electrical or mechanical failures. Unexpected joint power loss and joint locking can immediatel…

cs.MM20233 cited

Text-oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences

Yuxuan Lei, Dingkang Yang, Mingcheng Li +3

Multimodal Sentiment Analysis (MSA) aims to mine sentiment information from text, visual, and acoustic modalities. Previous works have focused on representation learning and featur…

eess.IV20231 cited

Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism

Haopeng Kuang, Dingkang Yang, Shunli Wang +2

Accurate visualization of liver tumors and their surrounding blood vessels is essential for noninvasive diagnosis and prognosis prediction of tumors. In medical image segmentation,…