3.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN257 papers
- Beijing Academy of Quantum Information SciencesCN235 papers
- Peking UniversityCN220 papers
- University of Science and Technology of ChinaCN204 papers
- Tsinghua UniversityCN193 papers
- University of Chinese Academy of SciencesCN143 papers
- University of Hong KongHK135 papers
- Institute of PhysicsPL94 papers
- National University of SingaporeSG94 papers
- Peng Cheng LaboratoryCN94 papers
- Hong Kong University of Science and TechnologyHK93 papers
- Fudan UniversityCN90 papers
8 papers · 2 filters
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect
Xinyang Jiang, Yifei Gong, Xiaowei Guo +5
Recently, the research interest of person re-identification (ReID) has gradually turned to video-based methods, which acquire a person representation by aggregating frame features…
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Tianyang Zhang, Huazhu Fu, Yitian Zhao +7
Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks. However, most of existing…
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Huazhu Fu, Boyang Wang, Jianbing Shen +4
Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated a…
Adaptive Exploration for Unsupervised Person Re-Identification
Yuhang Ding, Hehe Fan, Mingliang Xu +1
Due to domain bias, directly deploying a deep person re-identification (re-ID) model trained on one dataset often achieves considerably poor accuracy on another dataset. In this pa…
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina +5
Synthesizing MR imaging sequences is highly relevant in clinical practice, as single sequences are often missing or are of poor quality (e.g. due to motion). Naturally, the idea ar…
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu +6
Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been us…
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
Huazhu Fu, Yanwu Xu, Stephen Lin +5
Irreversible visual impairment is often caused by primary angle-closure glaucoma, which could be detected via Anterior Segment Optical Coherence Tomography (AS-OCT). In this paper,…
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
Jiong Wu, Xiaoying Tang
In this study, we proposed and validated a multi-atlas guided 3D fully convolutional network (FCN) ensemble model (M-FCN) for segmenting brain regions of interest (ROIs) from struc…