Ke Xian
Ke Xian
School of Computer Science and Engineering, Nanyang Technical University (NTU), Singapore
Verified email at - Homepage
Cited by
Cited by
Monocular Relative Depth Perception with Web Stereo Data Supervision
K Xian, C Shen, Z Cao, H Lu, Y Xiao, R Li, Z Luo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'18), 2018
Deep attention-based classification network for robust depth prediction
R Li*, K Xian*, C Shen, Z Cao, H Lu, L Hang
ACCV 2018, 2018
When unsupervised domain adaptation meets tensor representations
H Lu, L Zhang, Z Cao, W Wei, K Xian, C Shen, A van den Hengel
Proceedings of the IEEE international conference on computer vision, 599-608, 2017
Fine-grained maize tassel trait characterization with multi-view representations
H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu, K Xian
Computers and Electronics in Agriculture 118, 143-158, 2015
Structure-guided Ranking Loss for Single Image Depth Prediction
K Xian, J Zhang, O Wang, L Mai, Z Lin, Z Cao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'20), 2020
Rotational contour signatures for both real-valued and binary feature representations of 3D local shape
J Yang, Q Zhang, K Xian, Y Xiao, Z Cao
Computer Vision and Image Understanding 160, 133-147, 2017
AIM 2020 Challenge on Rendering Realistic Bokeh
A Ignatov, R Timofte, M Qian, C Qiao, J Lin, Z Guo, C Li, C Leng, J Cheng, ...
ECCVW 2020; arXiv preprint arXiv:2011.04988, 2020
Performance Evaluation of 3D Correspondence Grouping Algorithms
J Yang, K Xian, Y Xiao, Z Cao
IEEE International Conference on 3D Vision (3DV 2017), 2017
Counting objects by blockwise classification
L Liu, H Lu, H Xiong, K Xian, Z Cao, C Shen
IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3513 …, 2019
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
A Ignatov, G Malivenko, D Plowman, S Shukla, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
A performance evaluation of correspondence grouping methods for 3D rigid data matching
J Yang, K Xian, P Wang, Y Zhang
IEEE transactions on pattern analysis and machine intelligence, 2019
Monocular depth estimation with augmented ordinal depth relationships
Y Cao, T Zhao, K Xian, C Shen, Z Cao, S Xu
IEEE Transactions on Image Processing, 2018
Rotational contour signatures for robust local surface description
J Yang, Q Zhang, K Xian, Y Xiao, Z Cao
2016 IEEE International Conference on Image Processing (ICIP), 3598-3602, 2016
Sparse-to-dense depth completion revisited: Sampling strategy and graph construction
X Xiong, H Xiong, K Xian, C Zhao, Z Cao, X Li
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Image feature correspondence selection: a comparative study and a new contribution
C Zhao, Z Cao, J Yang, K Xian, X Li
IEEE Transactions on Image Processing 29, 3506-3519, 2020
Learning to fuse local geometric features for 3D rigid data matching
J Yang, C Zhao, K Xian, A Zhu, Z Cao
Information Fusion 61, 24-35, 2020
Exploiting attribute dependency for attribute assignment in crowded scenes
C Deng, Z Cao, Y Xiao, H Lu, K Xian, Y Chen
IEEE Signal Processing Letters 23 (10), 1325-1329, 2016
Bokeh rendering from defocus estimation
X Luo, J Peng, K Xian, Z Wu, Z Cao
European Conference on Computer Vision Workshop, 245-261, 2020
Mean-variance loss for monocular depth estimation
H Zou, K Xian, J Yang, Z Cao
2019 IEEE International Conference on Image Processing (ICIP), 1760-1764, 2019
Depth image super-resolution via semi self-taught learning framework
F Zhao, Z Cao, Y Xiao, X Zhang, K Xian, R Li
Videometrics, range imaging, and applications XIV 10332, 103320R, 2017
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