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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:

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments
Hyunjun Jung, Nikolas Brasch, Aleš Leonardis, et al.
2021 International Conference on 3D Vision (3DV) (2021), pp. 239-248
Open Access | Times Cited: 13

Showing 13 citing articles:

MonoGraspNet: 6-DoF Grasping with a Single RGB Image
Guangyao Zhai, Dianye Huang, Shun‐Cheng Wu, et al.
(2023)
Open Access | Times Cited: 23
Measurement methodology for surface defects inventory of building wall using smartphone with light detection and ranging sensor
Wioleta Błaszczak-Bąk, Czesław Suchocki, Tomasz Kozakiewicz, et al.
Measurement (2023) Vol. 219, pp. 113286-113286
Open Access | Times Cited: 15
Robust Depth Enhancement via Polarization Prompt Fusion Tuning
K. Ikemura, Yiming Huang, Felix Heide, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 20710-20720
Closed Access | Times Cited: 3
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Hyunjun Jung, Patrick Ruhkamp, Guangyao Zhai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 780-791
Open Access | Times Cited: 8
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 3, pp. 931-963
Open Access | Times Cited: 3
FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras
Andréas Meuleman, Hakyeong Kim, James Tompkin, et al.
Lecture notes in computer science (2022), pp. 602-618
Closed Access | Times Cited: 5
WeLSA: Learning to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment
Shishir Reddy Vutukur, Ivan Shugurov, Benjamin Busam, et al.
Lecture notes in computer science (2022), pp. 645-661
Closed Access | Times Cited: 3
Know your sensors — a modality study for surgical action classification
Lennart Bastian, Tobias Czempiel, Christian Heiliger, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 4, pp. 1113-1121
Open Access | Times Cited: 3
S$$^{2}$$P$$^{3}$$: Self-Supervised Polarimetric Pose Prediction
Patrick Ruhkamp, Daoyi Gao, Nassir Navab, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 6, pp. 2177-2194
Open Access
Best of Both Sides: Integration of Absolute and Relative Depth Sensing Modalities Based on iToF and RGB Cameras
I-Sheng Fang, Wei-Chen Chiu, Yong‐Sheng Chen
Lecture notes in computer science (2024), pp. 463-479
Closed Access
Depth Prediction Improvement for Near-Field iToF Lidar in Low-Speed Motion State
Mena Nagiub, Thorsten Beuth, Ganesh Sistu, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8020-8020
Open Access
High-Speed and Low-Latency 3D Sensing with a Parallel-Bus Pattern
Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa
2021 International Conference on 3D Vision (3DV) (2022), pp. 291-300
Closed Access | Times Cited: 2
Single Image Depth Estimation Based on Improved U-NET
Yingkang Wang, Yicheng Zhang, Wei Zhao, et al.
(2023), pp. 514-518
Closed Access
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