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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry
Guangming Wang, Chi Zhang, Hesheng Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 1, pp. 308-320
Open Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)
Yanbo Wang, Hanwen Yang, Jianwei Cai, et al.
(2023)
Closed Access | Times Cited: 2
Fusing Multiple Isolated Maps to Visual Inertial Odometry Online: A Consistent Filter
Zhuqing Zhang, Yanmei Jiao, Rong Xiong, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 5623-5638
Closed Access | Times Cited: 2
Unsupervised learning of optical flow in a multi-frame dynamic environment using temporal dynamic modeling
Zitang Sun, Zhengbo Luo, Shin’ya Nishida
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2215-2231
Open Access | Times Cited: 2
Joint self-supervised learning of interest point, descriptor, depth, and ego-motion from monocular video
Zhongyi Wang, Mengjiao Shen, Qijun Chen
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 77529-77547
Closed Access
Self-Supervised Multi-Scale Hierarchical Refinement Method for Joint Learning of Optical Flow and Depth
Rokia Abdein, Xuezhi Xiang, Yiming Chen, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2925-2929
Closed Access
Rfdepth: A Self-Supervised Monocular Depth Estimation Method Driven by Explicit Robust Feature
Chu Wu, Xu Li, Dong Kong, et al.
(2024)
Closed Access
Research on the design of teaching aid resource system based on unsupervised representation learning
Haobo Mao
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 211-225
Open Access
Timeliness-Fidelity Tradeoff in 3D Scene Representations
Xiangmin Xu, Zhen Meng, Yichi Zhang, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024), pp. 1-7
Closed Access
Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation
Zitang Sun, Zhengbo Luo, Shin’ya Nishida
Neurocomputing (2023) Vol. 534, pp. 133-146
Closed Access | Times Cited: 1
Unsupervised Depth Completion Guided by Visual Inertial System and Confidence
Hanxuan Zhang, Ju Huo
Sensors (2023) Vol. 23, Iss. 7, pp. 3430-3430
Open Access | Times Cited: 1
HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder
Fei Wang, Jun Cheng
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 2453-2468
Open Access | Times Cited: 1
Deep Scene Flow Learning: From 2D Images to 3D Point Clouds
Xuezhi Xiang, Rokia Abdein, Wei Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 185-208
Closed Access | Times Cited: 1
Deep 4D Automotive Radar-Camera Fusion Odometry with Cross-Modal Transformer Fusion
Shouyi Lu, Guirong Zhuo, Lu Xiong, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2023)
Closed Access | Times Cited: 1
Multi-aperture optical flow estimation for artificial compound eye using non-subsampled contourlet transform and guided filter
Xin Zhao, Chenguang Wang, Wancheng Liu, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035403-035403
Closed Access | Times Cited: 2
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
Guangming Wang, Xinrui Wu, Zhe Liu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling
Rokia Abdein, Xuezhi Xiang, Ning Lv
2022 IEEE International Conference on Image Processing (ICIP) (2022), pp. 6-10
Closed Access | Times Cited: 1
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry
Guangming Wang, Shuaiqi Ren, Hesheng Wang
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Unsupervised Joint Multi-Task Learning of Vision Geometry Tasks
Prabhash Kumar Jha, Doychin Mariyanov Tsanev, Luka Lukic
(2021), pp. 215-221
Closed Access | Times Cited: 1
Trans-Msf: Monocular Scene Flow Estimation with Hierarchical Multi-Head
Xuezhi Xiang, Jie Yang, Yu Cui, et al.
(2023)
Closed Access
Splatting-Based View Synthesis for Self-supervised Monocular Depth Estimation
Jiahao Liu, Jianghao Leng, Bo Liu, et al.
(2023), pp. 274-279
Closed Access
Unsupervised Full Transformer for Pose, Depth and Optical Flow Joint Learning
Xiaochen Liu, Tao Zhang
2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2023), pp. 73-78
Closed Access
TSC-BEV: Temporal-Spatial Feature Consistency 3D Object Detection
Jingyun Fang, Mingxi Zhuang, Guangming Wang, et al.
2021 China Automation Congress (CAC) (2023), pp. 6899-6904
Closed Access
Underwater Target Tracking Algorithm Based on Optical Flow
Xinyan Yin, Song Wu, Ying Liu, et al.
Communications in computer and information science (2022), pp. 25-34
Closed Access
Spacecraft Relative-Kinematics State Estimation using Conditional Normalizing Flows
Aneesh Heintz, Mason A. Peck, Rami Pellumbi
AIAA SCITECH 2022 Forum (2021)
Closed Access
Unsupervised Monocular Depth Perception: Focusing on Moving Objects
Hualie Jiang, Laiyan Ding, Zhenglong Sun, et al.
arXiv (Cornell University) (2021)
Open Access

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