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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:

Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Raghad Alghonaim, Edward Johns
(2021)
Open Access | Times Cited: 18

Showing 18 citing articles:

Robot Learning From Randomized Simulations: A Review
Fabio Muratore, Fábio Ramos, Greg Turk, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 48
Indoor Synthetic Data Generation: A Systematic Review
Hannah Schieber, Kubilay Can Demir, Constantin Kleinbeck, et al.
Computer Vision and Image Understanding (2024) Vol. 240, pp. 103907-103907
Open Access | Times Cited: 6
DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration
Ya-Yen Tsai, Hui Xu, Zihan Ding, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 3168-3175
Open Access | Times Cited: 24
A Brief Survey of Sim2Real Methods for Robot Learning
Konstantinos Dimitropoulos, Ioannis Hatzilygeroudis, Konstantinos Chatzilygeroudis
Mechanisms and machine science (2022), pp. 133-140
Closed Access | Times Cited: 8
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces
Eugene Valassakis, Norman Di Palo, Edward Johns
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 5989-5996
Open Access | Times Cited: 10
Photo-realistic Neural Domain Randomization
Sergey Zakharov, Rareş Ambruş, Vitor Guizilini, et al.
Lecture notes in computer science (2022), pp. 310-327
Closed Access | Times Cited: 7
Sim2Real Instance-Level Style Transfer for 6D Pose Estimation
Takuya Ikeda, Suomi Tanishige, Ayako Amma, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 3225-3232
Open Access | Times Cited: 6
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Thomas Kollar, Michael Laskey, Kevin Stone, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Lei Zhang, Kaixin Bai, Zhaopeng Chen, et al.
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) (2022), pp. 1-8
Open Access | Times Cited: 3
SORDI.ai: large-scale synthetic object recognition dataset generation for industries
Chafic Abou Akar, Jimmy Tekli, Joe Khalil, et al.
Multimedia Tools and Applications (2024)
Closed Access
Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation
Haoxiang Ma, Ran Qin, Modi Shi, et al.
(2024), pp. 13910-13917
Open Access
Synthetic Data for Object Detection with Neural Networks: State of the Art Survey of Domain Randomisation Techniques
Adam Westerski, Fong Wee Teck
ACM Transactions on Multimedia Computing Communications and Applications (2023)
Open Access | Times Cited: 1
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace.
Eugene Valassakis, Norman Di Palo, Edward Johns
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Reinforcement Learning for Vision-based Object Manipulation with Non-parametric Policy and Action Primitives
Dongwon Son, Myungsin Kim, Jaecheol Sim, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 5756-5763
Open Access | Times Cited: 1
Indoor Synthetic Data Generation: A Systematic Review
Hannah Schieber, Kubilay Can Demir, Constantin Kleinbeck, et al.
(2023)
Closed Access
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Ricardo García, Robin Strudel, Shizhe Chen, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 992-999
Open Access
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning.
Jianxiang Feng, Jong‐Seok Lee, Maximilian Durner, et al.
arXiv (Cornell University) (2021)
Closed Access
Learning Eye-in-Hand Camera Calibration from a Single Image.
Eugene Valassakis, Kamil Dreczkowski, Edward Johns
arXiv (Cornell University) (2021)
Closed Access
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