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20242026
most citedEnhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning

23 citations · 31 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024

scFusionTTT: Single-cell transcriptomics and proteomics fusion with Test-Time Training layers

Dian Meng, Bohao Xing, Xinlei Huang +5

Single-cell multi-omics (scMulti-omics) refers to the paired multimodal data, such as Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq), where the regulatio…

cs.CV2024

EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Bohao Xing, Zitong Yu, Xin Liu +6

Facial expression recognition (FER) is an important research topic in emotional artificial intelligence. In recent decades, researchers have made remarkable progress. However, curr…

cs.CV2024★ 23 cited

Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning

Deng Li, Bohao Xing, Xin Liu

Psychological studies have shown that Micro Gestures (MG) are closely linked to human emotions. MG-based emotion understanding has attracted much attention because it allows for em…

cs.CV2024★ 2 cited

Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding

Rong Gao, Xin Liu, Bohao Xing +3

In this work, we focus on a special group of human body language -- the micro-gesture (MG), which differs from the range of ordinary illustrative gestures in that they are not inte…

cs.CV2024

EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model

Deng Li, Xin Liu, Bohao Xing +4

Emotion AI is the ability of computers to understand human emotional states. Existing works have achieved promising progress, but two limitations remain to be solved: 1) Previous s…