75 citations · 115 across the 5 of their papers we have counts for
5 papers
Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
Zheng Gao, Debin Meng, Yunqi Miao +4
Current diffusion-based makeup transfer methods commonly use the makeup information encoded by off-the-shelf foundation models (e.g., CLIP) as condition to preserve the makeup styl…
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang, Debin Meng, Henry Gouk +1
Current state-of-the-art few-shot learners focus on developing effective training procedures for feature representations, before using simple, e.g. nearest centroid, classifiers. I…
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
Hengshun Zhou, Debin Meng, Yuanyuan Zhang +4
The audio-video based emotion recognition aims to classify a given video into basic emotions. In this paper, we describe our approaches in EmotiW 2019, which mainly explores emotio…
Frame attention networks for facial expression recognition in videos
Debin Meng, Xiaojiang Peng, Kai Wang +1
The video-based facial expression recognition aims to classify a given video into several basic emotions. How to integrate facial features of individual frames is crucial for this…
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang +2
Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has…