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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 1-25 of 288 citing articles:

Is Pseudo-Lidar needed for Monocular 3D Object detection?
Dennis Park, Rareş Ambruş, Vitor Guizilini, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3122-3132
Open Access | Times Cited: 219
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
J.S. Watson, Oisin Mac Aodha, Victor Adrian Prisacariu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 211
Neural Window Fully-connected CRFs for Monocular Depth Estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 3906-3915
Closed Access | Times Cited: 175
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 10371-10381
Closed Access | Times Cited: 163
Unsupervised Scale-Consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, et al.
International Journal of Computer Vision (2021) Vol. 129, Iss. 9, pp. 2548-2564
Open Access | Times Cited: 141
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 9680-9689
Open Access | Times Cited: 138
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
Guanglei Yang, Hao Tang, Mingli Ding, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 135
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
Ning Zhang, Francesco Nex, George Vosselman, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18537-18546
Open Access | Times Cited: 135
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, et al.
2021 International Conference on 3D Vision (3DV) (2022), pp. 668-678
Open Access | Times Cited: 127
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Vaishakh Patil, Christos Sakaridis, Alexander Liniger, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 1600-1611
Open Access | Times Cited: 93
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong, Matthew Garratt, Sreenatha G. Anavatti, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 16940-16961
Open Access | Times Cited: 76
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
Jin Woo Bae, Sungho Moon, Sunghoon Im
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 187-196
Open Access | Times Cited: 67
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Jiaxing Yan, Hong Zhao, Penghui Bu, et al.
2021 International Conference on 3D Vision (3DV) (2021), pp. 464-473
Open Access | Times Cited: 92
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 85
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, et al.
(2021), pp. 61-71
Open Access | Times Cited: 75
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng, Ronggang Wang, Yawen Lai, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 73
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Yuhua Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 72
Multi-Frame Self-Supervised Depth with Transformers
Vitor Guizilini, Rareş Ambruş, Dian Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 160-170
Open Access | Times Cited: 68
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee, Sunghoon Im, Stephen Lin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 3, pp. 1863-1872
Open Access | Times Cited: 67
GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography
Wenwen Li, Chia-Yu Hsu
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 7, pp. 385-385
Open Access | Times Cited: 63
FPANet: Feature pyramid aggregation network for real-time semantic segmentation
Yun Wu, Jianyong Jiang, Zimeng Huang, et al.
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 3319-3336
Closed Access | Times Cited: 61
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
Hongjie Fang, Hao-Shu Fang, Sheng Xu, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 7383-7390
Closed Access | Times Cited: 60
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
Vitor Guizilini, Rareş Ambruş, Wolfram Burgard, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 56
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang, Chaoqiang Zhao, Jianrui Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 9604-9624
Open Access | Times Cited: 56
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics
Arnav Varma, Hemang Chawla, Bahram Zonooz, et al.
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)
Open Access | Times Cited: 45
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