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Xiaojuan Qi
Researcher at University of Hong Kong
Publications - 77
Citations - 20264
Xiaojuan Qi is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Segmentation & Object (computer science). The author has an hindex of 33, co-authored 77 publications receiving 11715 citations. Previous affiliations of Xiaojuan Qi include The Chinese University of Hong Kong & University of Oxford.
Papers
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Proceedings ArticleDOI
Pyramid Scene Parsing Network
TL;DR: This paper exploits the capability of global context information by different-region-based context aggregation through the pyramid pooling module together with the proposed pyramid scene parsing network (PSPNet) to produce good quality results on the scene parsing task.
Journal ArticleDOI
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
TL;DR: This work proposes a novel hybrid densely connected UNet (H-DenseUNet), which consists of a 2-D Dense UNet for efficiently extracting intra-slice features and a 3-D counterpart for hierarchically aggregating volumetric contexts under the spirit of the auto-context algorithm for liver and tumor segmentation.
Posted Content
ICNet for Real-Time Semantic Segmentation on High-Resolution Images.
TL;DR: An image cascade network (ICNet) that incorporates multi-resolution branches under proper label guidance to address the challenging task of real-time semantic segmentation is proposed and in-depth analysis of the framework is provided.
Book ChapterDOI
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
TL;DR: ICNet as discussed by the authors proposes an image cascade network (ICNet) that incorporates multi-resolution branches under proper label guidance to reduce a large portion of computation for pixel-wise label inference, which yields real-time inference on a single GPU card.
Journal ArticleDOI
Gland segmentation in colon histology images: The GlaS challenge contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: An overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015 is provided, along with the method descriptions and evaluation results from the top performing methods.