20 citations · 30 across the 13 of their papers we have counts for
13 papers
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…
Is Micro-expression Ethnic Leaning?
Huai-Qian Khor, Yante Li, Xingxun Jiang +1
How much does ethnicity play its part in emotional expression? Emotional expression and micro-expression research probe into understanding human psychological responses to emotiona…
Infused Suppression Of Magnification Artefacts For Micro-AU Detection
Huai-Qian Khor, Yante Li, Xingxun Jiang +1
Facial micro-expressions are spontaneous, brief and subtle facial motions that unveil the underlying, suppressed emotions. Detecting Action Units (AUs) in micro-expressions is cruc…
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
Mengting Wei, Yante Li, Tuomas Varanka +2
In this study, we propose a method for video face reenactment that integrates a 3D face parametric model into a latent diffusion framework, aiming to improve shape consistency and…
Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection
Yante Li, Hanwen Qi, Haoyu Chen +2
In environmental protection, tree monitoring plays an essential role in maintaining and improving ecosystem health. However, precise monitoring is challenging because existing data…
Towards Consistent and Controllable Image Synthesis for Face Editing
Mengting Wei, Tuomas Varanka, Yante Li +3
Face editing methods, essential for tasks like virtual avatars, digital human synthesis and identity preservation, have traditionally been built upon GAN-based techniques, while re…
Towards Localized Fine-Grained Control for Facial Expression Generation
Tuomas Varanka, Huai-Qian Khor, Yante Li +4
Generative models have surged in popularity recently due to their ability to produce high-quality images and video. However, steering these models to produce images with specific a…
Data Leakage and Evaluation Issues in Micro-Expression Analysis
Tuomas Varanka, Yante Li, Wei Peng +1
Micro-expressions have drawn increasing interest lately due to various potential applications. The task is, however, difficult as it incorporates many challenges from the fields of…
Exploring Interactions and Regulations in Collaborative Learning: An Interdisciplinary Multimodal Dataset
Yante Li, Yang Liu, KhÁnh Nguyen +4
Collaborative learning is an educational approach that enhances learning through shared goals and working together. Interaction and regulation are two essential factors related to…
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Jinsheng Wei, Wei Peng, Guanming Lu +3
Micro-expression recognition (MER) is valuable because micro-expressions (MEs) can reveal genuine emotions. Most works take image sequences as input and cannot effectively explore…
Deep Learning for Micro-expression Recognition: A Survey
Yante Li, Jinsheng Wei, Yang Liu +2
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in medical treatment, national se…
Graph-based Facial Affect Analysis: A Review
Yang Liu, Xingming Zhang, Yante Li +3
As one of the most important affective signals, facial affect analysis (FAA) is essential for developing human-computer interaction systems. Early methods focus on extracting appea…
Micro-expression Action Unit Detection with Spatio-temporal Adaptive Pooling
Yante Li, Xiaohua Huang, Guoying Zhao
Action Unit (AU) detection plays an important role for facial expression recognition. To the best of our knowledge, there is little research about AU analysis for micro-expressions…