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:

Exploiting Temporal Consistency for Real-Time Video Depth Estimation
Haokui Zhang, Ying Li, Yuanzhouhan Cao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 1725-1734
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Enforcing Geometric Constraints of Virtual Normal for Depth Prediction
Wei Yin, Yifan Liu, Chunhua Shen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 5683-5692
Open Access | Times Cited: 432

Deep learning for monocular depth estimation: A review
Yue Ming, Xuyang Meng, Chunxiao Fan, et al.
Neurocomputing (2021) Vol. 438, pp. 14-33
Open Access | Times Cited: 295

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

Consistent video depth estimation
Xuan Luo, Jia‐Bin Huang, Richard Szeliski, et al.
ACM Transactions on Graphics (2020) Vol. 39, Iss. 4
Open Access | Times Cited: 261

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

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

Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 6813-6820
Open Access | Times Cited: 99

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

DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
Arda Düzçeker, Silvano Galliani, Christoph Vogel, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 15319-15328
Open Access | Times Cited: 67

All at Once: Temporally Adaptive Multi-frame Interpolation with Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, et al.
Lecture notes in computer science (2020), pp. 107-123
Closed Access | Times Cited: 62

CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences
Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool
(2021)
Open Access | Times Cited: 47

Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint
Fangzheng Tian, Yongbin Gao, Zhijun Fang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2021) Vol. 32, Iss. 4, pp. 1751-1766
Closed Access | Times Cited: 47

Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks
Xiaoxiao Long, Lingjie Liu, Wei Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8254-8263
Open Access | Times Cited: 47

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

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

Self-supervised recurrent depth estimation with attention mechanisms
Ilya Makarov, Maria Bakhanova, Sergey Nikolenko, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e865-e865
Open Access | Times Cited: 27

Asphalt pavement macrotexture reconstruction from monocular image based on deep convolutional neural network
Shihao Dong, Sen Han, Chi Wen Wu, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 13, pp. 1754-1768
Closed Access | Times Cited: 24

Underwater self-supervised monocular depth estimation and its application in image enhancement
Junting Wang, Xiufen Ye, Yusong Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105846-105846
Closed Access | Times Cited: 14

Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Xin Yuan, Jinoo Baek, Keyang Xu, et al.
(2024), pp. 489-496
Open Access | Times Cited: 5

Self-Supervised Monocular Depth Estimation with Dual-Path Encoders and Offset Field Interpolation
Cheng Feng, Congxuan Zhang, Zhen Chen, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 939-954
Closed Access

Monocular depth estimation via a detail semantic collaborative network for indoor scenes
Wen Song, Xu Cui, Yakun Xie, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Online supervised attention-based recurrent depth estimation from monocular video
Dmitrii Maslov, Ilya Makarov
PeerJ Computer Science (2020) Vol. 6, pp. e317-e317
Open Access | Times Cited: 31

Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp, Daoyi Gao, Hanzhi Chen, et al.
2021 International Conference on 3D Vision (3DV) (2021), pp. 837-847
Open Access | Times Cited: 25

Real-time Localized Photorealistic Video Style Transfer
Xide Xia, Tianfan Xue, Wei‐Sheng Lai, et al.
(2021)
Open Access | Times Cited: 24

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