no code implementations • 14 Nov 2024 • Guanwen Feng, Zhihao Qian, Yunan Li, Siyu Jin, Qiguang Miao, Chi-Man Pun
We present LES-Talker, a novel one-shot talking head generation model with high interpretability, to achieve fine-grained emotion editing across emotion types, emotion levels, and facial units.
no code implementations • 18 May 2024 • Xiaolu Kang, Zhuoqi Ma, Kang Liu, Yunan Li, Qiguang Miao
Polyp segmentation for colonoscopy images is of vital importance in clinical practice.
no code implementations • 9 May 2024 • Han Meng, Yitian Yang, Yunan Li, Jungup Lee, Yi-chieh Lee
Qualitative analysis is a challenging, yet crucial aspect of advancing research in the field of Human-Computer Interaction (HCI).
no code implementations • 9 Mar 2024 • Wei Chen, Yunan Li, Yuan Tian
We introduce a new approach using computer vision to predict the land surface displacement from subsurface geometry images for Carbon Capture and Sequestration (CCS).
no code implementations • 2 Feb 2024 • Guanwen Feng, Haoran Cheng, Yunan Li, Zhiyuan Ma, Chaoneng Li, Zhihao Qian, Qiguang Miao, Chi-Man Pun
Additionally, we propose an emotion intensity control method using a fine-grained emotion matrix.
no code implementations • ICCV 2023 • Yunan Li, Huizhou Chen, Guanwen Feng, Qiguang Miao
To highlight the predictive information, we further integrate a memory network.
1 code implementation • 10 Feb 2021 • Benjia Zhou, Yunan Li, Jun Wan
Meanwhile, a more adaptive architecture-searched network structure can also perform better than the block-fixed ones like Resnet since it increases the diversity of features in different stages of the network better.
no code implementations • International Journal of Computer Vision 2020 • Yunan Li, Jun Wan, Qiguang Miao, Sergio Escalera, Huijuan Fang, Huizhou Chen, Xiangda Qi, Guodong Guo
First impressions strongly influence social interactions, having a high impact in the personal and professional life.
no code implementations • ICCV 2019 • Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yining Quan
To effectively fuse the results of varying haze levels at different stages, we develop an adaptive integration strategy to yield the final dehazed image.
no code implementations • 29 Jul 2019 • Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting more than $200$ teams round the world.