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- Publications
- Influence
Pyramid Scene Parsing Network
- Hengshuang Zhao, J. Shi, Xiaojuan Qi, X. Wang, J. Jia
- Computer Science
- IEEE Conference on Computer Vision and Pattern…
- 4 December 2016
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-based context aggregation… Expand
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
- Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, J. Shi, J. Jia
- Computer Science
- ECCV
- 27 April 2017
We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a large portion of… Expand
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
- Hao Chen, Xiaojuan Qi, Lequan Yu, P. Heng
- Computer Science
- IEEE Conference on Computer Vision and Pattern…
- 10 April 2016
The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain… Expand
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
- X. Li, H. Chen, Xiaojuan Qi, Q. Dou, C. Fu, P. Heng
- Computer Science, Medicine
- IEEE Transactions on Medical Imaging
- 21 September 2017
Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor segmentation… Expand
Gland segmentation in colon histology images: The glas challenge contest
- K. Sirinukunwattana, J. Pluim, +16 authors N. Rajpoot
- Computer Science, Medicine
- Medical Image Anal.
- 1 March 2016
&NA; Colorectal adenocarcinoma originating in intestinal glandular structures is the most common form of colon cancer. In clinical practice, the morphology of intestinal glands, including… Expand
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
- Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, R. Urtasun, J. Jia
- Computer Science
- IEEE/CVF Conference on Computer Vision and…
- 18 June 2018
In this paper, we propose Geometric Neural Network (GeoNet) to jointly predict depth and surface normal maps from a single image. Building on top of two-stream CNNs, our GeoNet incorporates geometric… Expand
Semi-Parametric Image Synthesis
- Xiaojuan Qi, Qifeng Chen, J. Jia, V. Koltun
- Computer Science
- IEEE/CVF Conference on Computer Vision and…
- 29 April 2018
We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techniques. The… Expand
The Liver Tumor Segmentation Benchmark (LiTS)
- Patrick Bilic, P. Christ, +56 authors B. Menze
- Computer Science
- ArXiv
- 13 January 2019
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LITS) organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2016 and… Expand
Augmented Feedback in Semantic Segmentation Under Image Level Supervision
- Xiaojuan Qi, Zhengzhe Liu, J. Shi, Hengshuang Zhao, J. Jia
- Computer Science
- ECCV
- 8 October 2016
Training neural networks for semantic segmentation is data hungry. Meanwhile annotating a large number of pixel-level segmentation masks needs enormous human effort. In this paper, we propose a… Expand
DCAN: Deep contour‐aware networks for object instance segmentation from histology images
- Hao Chen, Xiaojuan Qi, Lequan Yu, Q. Dou, J. Qin, P. Heng
- Computer Science, Medicine
- Medical Image Anal.
- 1 February 2017
HIGHLIGHTSMulti‐level fully convolutional networks for effective object segmentation.A novel method to harness information of object appearance and contour simultaneously.Transfer learning to… Expand