362 citations · 917 across the 15 of their papers we have counts for
6 papers · 1 filter
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan +3
We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and…
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei +5
The collection and curation of large-scale medical datasets from multiple institutions is essential for training accurate deep learning models, but privacy concerns often hinder da…
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Liangqiong Qu, Niranjan Balachandar, Miao Zhang +1
Collaborative learning, which enables collaborative and decentralized training of deep neural networks at multiple institutions in a privacy-preserving manner, is rapidly emerging…
3D Hand Pose Tracking and Estimation Using Stereo Matching
Jiawei Zhang, Jianbo Jiao, Mingliang Chen +3
3D hand pose tracking/estimation will be very important in the next generation of human-computer interaction. Most of the currently available algorithms rely on low-cost active dep…
RGBD Salient Object Detection via Deep Fusion
Liangqiong Qu, Shengfeng He, Jiawei Zhang +3
Numerous efforts have been made to design different low level saliency cues for the RGBD saliency detection, such as color or depth contrast features, background and color compactn…
Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image
Liangqiong Qu, Jiandong Tian, Zhi Han +1
In this paper, we propose a novel, effective and fast method to obtain a color illumination invariant and shadow-free image from a single outdoor image. Different from state-of-the…