Spremljaj
Huangying Zhan
Huangying Zhan
InnoPeak Technology (OPPO US Research Center)
Preverjeni e-poštni naslov na innopeaktech.com - Domača stran
Naslov
Navedeno
Navedeno
Leto
Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
H Zhan, R Garg, CS Weerasekera, K Li, H Agarwal, I Reid
Proceedings of the IEEE conference on computer vision and pattern …, 2018
7862018
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 32, 2019
6182019
Visual odometry revisited: What should be learnt?
H Zhan, CS Weerasekera, JW Bian, I Reid
2020 IEEE International Conference on Robotics and Automation (ICRA), 4203-4210, 2020
2182020
Unsupervised scale-consistent depth learning from video
JW Bian, H Zhan, N Wang, Z Li, L Zhang, C Shen, MM Cheng, I Reid
International Journal of Computer Vision 129 (9), 2548-2564, 2021
1962021
Auto-Rectify Network for Unsupervised Indoor Depth Estimation
JW Bian, H Zhan, N Wang, TJ Chin, C Shen, I Reid
IEEE transactions on pattern analysis and machine intelligence, 2021
111*2021
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
L Sun, JW Bian, H Zhan, W Yin, I Reid, C Shen
IEEE transactions on pattern analysis and machine intelligence, 2023
652023
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
542017
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
462021
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
452018
ActiveRMAP: Radiance Field for Active Mapping And Planning
H Zhan, J Zheng, Y Xu, I Reid, H Rezatofighi
arXiv preprint arXiv:2211.12656, 2022
392022
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
372019
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/CVF International Conference on Computer Vision …, 2019
142019
NARUTO: Neural Active Reconstruction from Uncertain Target Observations
Z Feng*, H Zhan*, Z Chen, Q Yan, X Xu, C Cai, B Li, Q Zhu, Y Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
122024
PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields
Z Chen, Q Yan, H Zhan, C Cai, X Xu, Y Huang, W Wang, Z Feng, L Liu, ...
2025 International Conference on Robotics and Automation (ICRA), 2025
32025
NVSS: High-quality Novel View Selfie Synthesis
JW Bian*, H Zhan*, I Reid
2021 International Conference on 3D Vision (3DV), 1085-1094, 2021
32021
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction
X Xu, L Chen, C Cai, H Zhan, Q Yan, P Ji, J Yuan, H Huang, Y Xu
arXiv preprint arXiv:2304.06178, 2023
22023
ActiveGAMER: Active GAussian Mapping through Efficient Rendering
L Chen*, H Zhan*, K Chen, X Xu, Q Yan, C Cai, Y Xu
CVPR 2025, 2025
2025
Predicting Topological Maps for Visual Navigation in Unexplored Environments
H Zhan, H Rezatofighi, I Reid
arXiv preprint arXiv:2211.12649, 2022
2022
What Images are More Memorable to Machines?
J Han, H Zhan, J Hong, P Fang, H Li, L Petersson, I Reid
arXiv preprint arXiv:2211.07625, 2022
2022
Self-Supervised Learning for Geometry
H Zhan
University of Adelaide, 2020
2020
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