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AIM 2020 Challenge on Rendering Realistic Bokeh


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

* Published in ECCV 2020 Workshop (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching


Jan 22, 2020
Angfan Zhu, Jiaqi Yang, Chen Zhao, Ke Xian, Zhiguo Cao, Xin Li

* 7 pages, 9 figures 

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Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence


Sep 03, 2019
Chen Zhao, Jiaqi Yang, Ke Xian, Zhiguo Cao, Xin Li


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A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching


Jul 05, 2019
Jiaqi Yang, Ke Xian, Peng Wang, Yanning Zhang

* Extension of 3DV 2017 paper 

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Learning to Fuse Local Geometric Features for 3D Rigid Data Matching


Apr 27, 2019
Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao


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Deep attention-based classification network for robust depth prediction


Jul 11, 2018
Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang


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Monocular Depth Estimation with Augmented Ordinal Depth Relationships


Jun 02, 2018
Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao

* 10 pages 

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Performance Evaluation of 3D Correspondence Grouping Algorithms


Apr 06, 2018
Jiaqi Yang, Ke Xian, Yang Xiao, Zhiguo Cao

* Accepted to 3DV 2017, (Spotlight) 

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When Unsupervised Domain Adaptation Meets Tensor Representations


Jul 19, 2017
Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

* 16 pages. Accepted to Proc. Int. Conf. Computer Vision (ICCV 2017) 

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