48 citations · 93 across the 10 of their papers we have counts for
10 papers
From Sequential to Spatial: Reordering Autoregression for Efficient Visual Generation
Siyang Wang, Hanting Li, Wei Li +3
Inspired by the remarkable success of autoregressive models in language modeling, this paradigm has been widely adopted in visual generation. However, the sequential token-by-token…
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos
Hanting Li, Hongjing Niu, Feng Zhao
Micro-expression recognition (MER) has drawn increasing attention in recent years due to its potential applications in intelligent medical and lie detection. However, the shortage…
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Facial expression recognition (FER) is an essential task for understanding human behaviors. As one of the most informative behaviors of humans, facial expressions are often compoun…
Domain-Unified Prompt Representations for Source-Free Domain Generalization
Hongjing Niu, Hanting Li, Feng Zhao +1
Domain generalization (DG), aiming to make models work on unseen domains, is a surefire way toward general artificial intelligence. Limited by the scale and diversity of current DG…
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natu…
NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Dynamic facial expression recognition (DFER) in the wild is an extremely challenging task, due to a large number of noisy frames in the video sequences. Previous works focus on ext…
AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition
Mingzhe Sui, Hanting Li, Zhaoqing Zhu +1
2D+3D facial expression recognition (FER) can effectively cope with illumination changes and pose variations by simultaneously merging 2D texture and more robust 3D depth informati…
MMNet: Muscle motion-guided network for micro-expression recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real feelings and play an important role in the early intervention of mental illness, the national s…
MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Vision transformer (ViT) has been widely applied in many areas due to its self-attention mechanism that help obtain the global receptive field since the first layer. It even achiev…
MVT: Mask Vision Transformer for Facial Expression Recognition in the wild
Hanting Li, Mingzhe Sui, Feng Zhao +2
Facial Expression Recognition (FER) in the wild is an extremely challenging task in computer vision due to variant backgrounds, low-quality facial images, and the subjectiveness of…