10 citations · 21 across the 7 of their papers we have counts for
7 papers
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Chao Xu, Junwei Zhu, Jiangning Zhang +6
Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus la…
APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
Xuhai Chen, Yue Han, Jiangning Zhang
In this technical report, we briefly introduce our solution for the Zero/Few-shot Track of the Visual Anomaly and Novelty Detection (VAND) 2023 Challenge. For industrial visual ins…
Learning Global-aware Kernel for Image Harmonization
Xintian Shen, Jiangning Zhang, Jun Chen +5
Image harmonization aims to solve the visual inconsistency problem in composited images by adaptively adjusting the foreground pixels with the background as references. Existing me…
Conditional Synthetic Food Image Generation
Wenjin Fu, Yue Han, Jiangpeng He +3
Generative Adversarial Networks (GAN) have been widely investigated for image synthesis based on their powerful representation learning ability. In this work, we explore the StyleG…
Improving Food Detection For Images From a Wearable Egocentric Camera
Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh +3
Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the r…
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
Jiangning Zhang, Chao Xu, Jian Li +4
In the practical application of restoring low-resolution gray-scale images, we generally need to run three separate processes of image colorization, super-resolution, and dows-samp…
An Integrated System for Mobile Image-Based Dietary Assessment
Zeman Shao, Yue Han, Jiangpeng He +5
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as…