604 citations · 752 across the 27 of their papers we have counts for
15 papers · 1 filter
Text-Anchored Modality Experts with Uncertainty-Guided Routing for Multimodal Sentiment Analysis
Xiaohua Huang, Bingrui Lei, Xiuyan Shao +5
Multimodal sentiment analysis (MSA) aims to understand user-generated videos by integrating multiple modalities. Existing methods often treat modalities as symmetric, overlooking t…
LLM-based Multimodal Personality Recognition via Facial Action Unit-Text Semantic Fusion
Tianyi Zhang, Wei Shan, Yuan Zong +2
Personality recognition in asynchronous video interviews (AVIs) has become increasingly important due to their widespread adoption in modern recruitment. Existing approaches often…
Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Licai Sun, Xingxun Jiang, Haoyu Chen +7
Current facial emotion recognition systems are predominately trained to predict a fixed set of predefined categories or abstract dimensional values. This constrained form of superv…
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Yong Li, Menglin Liu, Zhen Cui +5
Despite the impressive performance of current vision-based facial action unit (AU) detection approaches, they are heavily susceptible to the variations across different domains and…
Temporal Label Hierachical Network for Compound Emotion Recognition
Sunan Li, Hailun Lian, Cheng Lu +5
The emotion recognition has attracted more attention in recent decades. Although significant progress has been made in the recognition technology of the seven basic emotions, exist…
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition
Jie Zhu, Yuan Zong, Jingang Shi +3
This paper focuses on the research of micro-expression recognition (MER) and proposes a flexible and reliable deep learning method called learning to rank onset-occurring-offset re…
SDFE-LV: A Large-Scale, Multi-Source, and Unconstrained Database for Spotting Dynamic Facial Expressions in Long Videos
Xiaolin Xu, Yuan Zong, Wenming Zheng +4
In this paper, we present a large-scale, multi-source, and unconstrained database called SDFE-LV for spotting the onset and offset frames of a complete dynamic facial expression fr…
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
Xingxun Jiang, Yuan Zong, Wenming Zheng +2
Cross-Database Micro-Expression Recognition (CDMER) aims to develop the Micro-Expression Recognition (MER) methods with strong domain adaptability, i.e., the ability to recognize t…
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition
Jiateng Liu, Wenming Zheng, Yuan Zong
Correctly perceiving micro-expression is difficult since micro-expression is an involuntary, repressed, and subtle facial expression, and efficiently revealing the subtle movement…
Spatial Transformer Point Convolution
Yuan Fang, Chunyan Xu, Zhen Cui +2
Point clouds are unstructured and unordered in the embedded 3D space. In order to produce consistent responses under different permutation layouts, most existing methods aggregate…
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
Xingxun Jiang, Yuan Zong, Wenming Zheng +4
Recently, facial expression recognition (FER) in the wild has gained a lot of researchers' attention because it is a valuable topic to enable the FER techniques to move from the la…
Cross-Database Micro-Expression Recognition: A Benchmark
Yuan Zong, Tong Zhang, Wenming Zheng +4
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventiona…
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning
Keyu Yan, Wenming Zheng, Tong Zhang +2
Cross-database non-frontal expression recognition is a very meaningful but rather difficult subject in the fields of computer vision and affect computing. In this paper, we propose…
Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition
Yuan Zong, Xiaohua Huang, Wenming Zheng +2
In this paper, we investigate the cross-database micro-expression recognition problem, where the training and testing samples are from two different micro-expression databases. Und…
Spatial-Temporal Recurrent Neural Network for Emotion Recognition
Tong Zhang, Wenming Zheng, Zhen Cui +2
Emotion analysis is a crucial problem to endow artifact machines with real intelligence in many large potential applications. As external appearances of human emotions, electroence…