Huangying Zhan
Huangying Zhan
Postdoctoral Researcher, The University of Adelaide
在 adelaide.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
H Zhan, R Garg, C Saroj Weerasekera, K Li, H Agarwal, I Reid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3232018
Unsupervised scale-consistent depth and ego-motion learning from monocular video
J Bian, Z Li, N Wang, H Zhan, C Shen, MM Cheng, I Reid
Advances in neural information processing systems, 35-45, 2019
1082019
Deep learning for 2D scan matching and loop closure
J Li, H Zhan, BM Chen, I Reid, GH Lee
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
292017
Efficient dense point cloud object reconstruction using deformation vector fields
K Li, T Pham, H Zhan, I Reid
Proceedings of the European Conference on Computer Vision (ECCV), 497-513, 2018
272018
Visual odometry revisited: What should be learnt?
H Zhan, CS Weerasekera, J Bian, I Reid
ICRA2020, 2019
252019
Self-supervised learning for single view depth and surface normal estimation
H Zhan, CS Weerasekera, R Garg, I Reid
2019 International Conference on Robotics and Automation (ICRA), 4811-4817, 2019
102019
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
JW Bian, H Zhan, N Wang, TJ Chin, C Shen, I Reid
arXiv preprint arXiv:2006.02708, 2020
92020
Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression
M Cai, H Zhan, C Saroj Weerasekera, K Li, I Reid
Proceedings of the IEEE International Conference on Computer Vision …, 2019
32019
DF-VO: What Should Be Learnt for Visual Odometry?
H Zhan, CS Weerasekera, JW Bian, R Garg, I Reid
arXiv preprint arXiv:2103.00933, 2021
2021
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