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:

Geometric Loss Functions for Camera Pose Regression with Deep Learning
Alex Kendall, Roberto Cipolla
(2017), pp. 6555-6564
Open Access | Times Cited: 751

Showing 1-25 of 751 citing articles:

On the Continuity of Rotation Representations in Neural Networks
Yi Zhou, Connelly Barnes, Jingwan Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5738-5746
Closed Access | Times Cited: 876

From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin, César Cadena, Roland Siegwart, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 744

DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li, Gu Wang, Xiangyang Ji, et al.
Lecture notes in computer science (2018), pp. 695-711
Closed Access | Times Cited: 528

The ApolloScape Open Dataset for Autonomous Driving and Its Application
Xinyu Huang, Peng Wang, Xinjing Cheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 42, Iss. 10, pp. 2702-2719
Open Access | Times Cited: 508

InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
Hajime Taira, Masatoshi Okutomi, Torsten Sattler, et al.
(2018), pp. 7199-7209
Open Access | Times Cited: 394

Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, et al.
(2018), pp. 2616-2625
Open Access | Times Cited: 391

CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Zhigang Li, Gu Wang, Xiangyang Ji
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Closed Access | Times Cited: 383

Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
Torsten Sattler, Qunjie Zhou, Marc Pollefeys, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 3297-3307
Open Access | Times Cited: 356

L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
Weixin Lu, Yao Zhou, Guowei Wan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Closed Access | Times Cited: 263

DeepTAM: Deep Tracking and Mapping
Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
Lecture notes in computer science (2018), pp. 851-868
Closed Access | Times Cited: 246

VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan, Abhinav Valada, Wolfram Burgard
IEEE Robotics and Automation Letters (2018) Vol. 3, Iss. 4, pp. 4407-4414
Open Access | Times Cited: 246

Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 239

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks
Sen Wang, Ronald Clark, Hongkai Wen, et al.
The International Journal of Robotics Research (2017) Vol. 37, Iss. 4-5, pp. 513-542
Closed Access | Times Cited: 223

RelocNet: Continuous Metric Learning Relocalisation Using Neural Nets
Vassileios Balntas, Shuda Li, Victor Adrian Prisacariu
Lecture notes in computer science (2018), pp. 782-799
Closed Access | Times Cited: 222

A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martínez-González, Alberto García-García, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 6, pp. 2806-2826
Open Access | Times Cited: 222

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018) Vol. 41, Iss. 10, pp. 2452-2465
Open Access | Times Cited: 209

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 199

LO-Net: Deep Real-Time Lidar Odometry
Qing Li, Shaoyang Chen, Cheng Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 8465-8474
Open Access | Times Cited: 197

Deep Fundamental Matrix Estimation
René Ranftl, Vladlen Koltun
Lecture notes in computer science (2018), pp. 292-309
Closed Access | Times Cited: 192

Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network
Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, et al.
(2017)
Open Access | Times Cited: 185

DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li, Gu Wang, Xiangyang Ji, et al.
International Journal of Computer Vision (2019) Vol. 128, Iss. 3, pp. 657-678
Open Access | Times Cited: 183

Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
Liu Liu, Hongdong Li, Yuchao Dai
(2017), pp. 2391-2400
Closed Access | Times Cited: 177

Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov, et al.
IEEE Transactions on Robotics (2020) Vol. 37, Iss. 1, pp. 48-66
Open Access | Times Cited: 176

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