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 26-50 of 115 citing articles:

Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
Xiaofeng Wang, Zheng Zhu, Guan Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 2689-2697
Open Access | Times Cited: 9

Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos
Peng Wu, Xiankai Lu, Jianbing Shen, et al.
(2023), pp. 105-115
Closed Access | Times Cited: 9

Neural Video Depth Stabilizer
Yiran Wang, Min Shi, Jiaqi Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 9432-9442
Open Access | Times Cited: 9

Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, et al.
(2020)
Closed Access | Times Cited: 27

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 10252-10261
Open Access | Times Cited: 22

Instance-wise Occlusion and Depth Orders in Natural Scenes
Hyun-Min Lee, Jaesik Park
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 21178-21189
Open Access | Times Cited: 14

IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
Cheng Feng, Zhen Chen, Congxuan Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 1, pp. 329-341
Closed Access | Times Cited: 8

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
Jianrong Wang, Ge Zhang, Zhenyu Wu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 23

Temporally Consistent Online Depth Estimation in Dynamic Scenes
Zhaoshuo Li, Wei Ye, Dilin Wang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023) Vol. 40, pp. 3017-3026
Open Access | Times Cited: 7

SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos
Rong Tao, Baoru Huang, Xiaoyang Zou, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 1, pp. 42-53
Closed Access | Times Cited: 7

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Jie Yang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 1, pp. 763-770
Open Access | Times Cited: 7

SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
Lorenzo Papa, Edoardo Alati, Paolo Russo, et al.
IEEE Access (2022) Vol. 10, pp. 44881-44890
Open Access | Times Cited: 11

Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos
Amal El Kaid, Denis Brazey, Vincent Barra, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4109-4109
Open Access | Times Cited: 11

Less is More
Yiran Wang, Zhiyu Pan, Xingyi Li, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2022), pp. 6347-6358
Open Access | Times Cited: 11

Self-Supervised Monocular Depth Estimation With Frequency-Based Recurrent Refinement
Rui Li, Danna Xue, Yu Zhu, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 5626-5637
Closed Access | Times Cited: 11

Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Bo Li, et al.
Lecture notes in computer science (2024), pp. 90-107
Closed Access | Times Cited: 2

Enforcing Temporal Consistency in Video Depth Estimation
Siyuan Li, Yue Luo, Ye Zhu, et al.
(2021), pp. 1145-1154
Closed Access | Times Cited: 13

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
Rajeev Yasarla, Hong Cai, Jisoo Jeong, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 8720-8730
Open Access | Times Cited: 5

ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
Gaurav Kuppa, Andrew Jong, Xin Liu, et al.
(2021), pp. 191-200
Open Access | Times Cited: 12

Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems
Yanling Tian, Qieshi Zhang, Ziliang Ren, et al.
IEEE Access (2019) Vol. 7, pp. 185179-185188
Open Access | Times Cited: 13

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
Li Li, Khalid N. Ismail, Hubert P. H. Shum, et al.
2021 International Conference on 3D Vision (3DV) (2021)
Open Access | Times Cited: 11

Temporally Consistent Online Depth Estimation Using Point-Based Fusion
Numair Khan, Eric Penner, Douglas Lanman, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9119-9129
Open Access | Times Cited: 4

Image Intrinsic-Based Unsupervised Monocular Depth Estimation in Endoscopy
Bojian Li, Bo Liu, Miao Yong Zhu, et al.
(2024)
Open Access | Times Cited: 1

Visual Object Tracking with Mutual Affinity Aligned to Human Intuition
Guotian Zeng, Bi Zeng, Qingmao Wei, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 10055-10068
Closed Access | Times Cited: 1

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