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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:

Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, et al.
Lecture notes in computer science (2020), pp. 582-600
Closed Access | Times Cited: 288

Showing 26-50 of 288 citing articles:

Toward Practical Monocular Indoor Depth Estimation
Cho-Ying Wu, Jialiang Wang, C. Michael Hall, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 3804-3814
Open Access | Times Cited: 39
Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
Andra Petrovai, Sergiu Nedevschi
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 1568-1578
Closed Access | Times Cited: 38
SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes
Libo Sun, Jia-Wang Bian, Huangying Zhan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 497-508
Open Access | Times Cited: 31
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Qin Wang, et al.
International Journal of Computer Vision (2023) Vol. 131, Iss. 8, pp. 2070-2096
Open Access | Times Cited: 28
Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement
Zhong Liu, Ran Li, Shuwei Shao, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 12, pp. 7565-7577
Open Access | Times Cited: 26
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang, Yunji Liang, Hao Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5713-5721
Open Access | Times Cited: 15
STViT+: improving self-supervised multi-camera depth estimation with spatial-temporal context and adversarial geometry regularization
Zhuo Chen, Haimei Zhao, Xiaoshuai Hao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Open Access | Times Cited: 1
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Hang Zhou, David Greenwood, Sarah Taylor
arXiv (Cornell University) (2021)
Open Access | Times Cited: 53
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
Lina Liu, Xibin Song, Mengmeng Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 45
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila, et al.
Springer eBooks (2022), pp. 3-78
Closed Access | Times Cited: 37
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng, Liang Yang, Longlong Jing, et al.
Lecture notes in computer science (2022), pp. 228-244
Closed Access | Times Cited: 35
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, et al.
(2022), pp. 210-220
Open Access | Times Cited: 34
RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation
Mu He, Le Hui, Yikai Bian, et al.
Lecture notes in computer science (2022), pp. 565-581
Closed Access | Times Cited: 28
The Monocular Depth Estimation Challenge
Jaime Spencer, Cheng Qian, Chris Russell, et al.
(2023), pp. 623-632
Open Access | Times Cited: 22
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes
Ruoyu Wang, Zehao Yu, Shenghua Gao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 21425-21434
Open Access | Times Cited: 21
MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation
Xibin Song, Wei Li, Dingfu Zhou, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 4691-4705
Closed Access | Times Cited: 39
Swin-Depth: Using Transformers and Multi-Scale Fusion for Monocular-Based Depth Estimation
Zeyu Cheng, Yi Zhang, Chengkai Tang
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26912-26920
Closed Access | Times Cited: 34
Full Surround Monodepth From Multiple Cameras
Vitor Guizilini, Igor Vasiljevic, Rareş Ambruş, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5397-5404
Open Access | Times Cited: 27
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
Adrian Lopez-Rodriguez, Krystian Mikolajczyk
International Journal of Computer Vision (2022) Vol. 131, Iss. 3, pp. 752-771
Open Access | Times Cited: 26
Unsupervised Monocular Depth Estimation in Highly Complex Environments
Chaoqiang Zhao, Yang Tang, Qiyu Sun
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 6, Iss. 5, pp. 1237-1246
Open Access | Times Cited: 25
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation
Haobo Yuan, Xiangtai Li, Yibo Yang, et al.
Lecture notes in computer science (2022), pp. 582-599
Closed Access | Times Cited: 25
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
Rui Li, Dong Gong, Wei Yin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 16
Incorporating physics into data-driven computer vision
Achuta Kadambi, Celso P. de Melo, Cho‐Jui Hsieh, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 6, pp. 572-580
Closed Access | Times Cited: 14
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
Antyanta Bangunharcana, Ahmed Magd, Kyung-Soo Kim
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 14
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
Rémi Marsal, Florian Chabot, Angélique Loesch, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 3625-3634
Open Access | Times Cited: 5

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