most citedHandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images

11 citations · 13 across the 4 of their papers we have counts for

collaborators

6 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

Faster Diffusion Action Segmentation

Shuaibing Wang, Shunli Wang, Mingcheng Li +4

Temporal Action Segmentation (TAS) is an essential task in video analysis, aiming to segment and classify continuous frames into distinct action segments. However, the ambiguous bo…

cs.CV2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities

Mingcheng Li, Dingkang Yang, Xiao Zhao +7

Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. Most MSA efforts are based on the assumption of modality completeness. However, in r…

cs.CV2024

Robust Emotion Recognition in Context Debiasing

Dingkang Yang, Kun Yang, Mingcheng Li +3

Context-aware emotion recognition (CAER) has recently boosted the practical applications of affective computing techniques in unconstrained environments. Mainstream CAER methods in…

cs.CV202411 cited

HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images

Shuaibing Wang, Shunli Wang, Dingkang Yang +4

We propose a robust and accurate method for reconstructing 3D hand mesh from monocular images. This is a very challenging problem, as hands are often severely occluded by objects.…

cs.CV20232 cited

CPR-Coach: Recognizing Composite Error Actions based on Single-class Training

Shunli Wang, Qing Yu, Shuaibing Wang +7

The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm sho…