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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:

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy, Alexandre Boulch, Renaud Marlet
Lecture notes in computer science (2020), pp. 527-544
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
IEEE Transactions on Robotics (2022) Vol. 38, Iss. 4, pp. 2074-2093
Open Access | Times Cited: 134
Lepard: Learning partial point cloud matching in rigid and deformable scenes
Yang Li, Tatsuya Harada
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5544-5554
Open Access | Times Cited: 95
Rotation-Invariant Transformer for Point Cloud Matching
Hao Yu, Zheng Qin, Ji Hou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 47
RAFT-3D: Scene Flow using Rigid-Motion Embeddings
Zachary Teed, Jia Deng
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 96
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Yi Wei, Ziyi Wang, Yongming Rao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 75
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Yair Kittenplon, Yonina C. Eldar, Dan Raviv
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 4112-4121
Open Access | Times Cited: 72
Weakly Supervised Learning of Rigid 3D Scene Flow
Žan Gojčič, Or Litany, Andreas Wieser, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 71
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
Haisong Liu, Tao Lu, Yihui Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5781-5791
Open Access | Times Cited: 46
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
Fangqiang Ding, Andras Palffy, Dariu M. Gavrila, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9340-9349
Open Access | Times Cited: 25
PointConvFormer: Revenge of the Point-based Convolution
Wenxuan Wu, Fuxin Li, Qi Shan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 25
Joint Scene Flow Estimation and Moving Object Segmentation on Rotational LiDAR Data
Xieyuanli Chen, Jiafeng Cui, Yufei Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17733-17743
Closed Access | Times Cited: 10
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation
Stefan A. Baur, David Emmerichs, Frank Moosmann, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 46
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
Wencan Cheng, Jong Hwan Ko
Lecture notes in computer science (2022), pp. 108-124
Closed Access | Times Cited: 34
What Matters for 3D Scene Flow Network
Guangming Wang, Yunzhe Hu, Zhe Liu, et al.
Lecture notes in computer science (2022), pp. 38-55
Closed Access | Times Cited: 33
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior
Ruibo Li, Chi Zhang, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Closed Access | Times Cited: 32
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li, Cheng Zheng, Silvio Giancola, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 1254-1262
Open Access | Times Cited: 29
Dynamic 3D Scene Analysis by Point Cloud Accumulation
Shengyu Huang, Žan Gojčič, Jiahui Huang, et al.
Lecture notes in computer science (2022), pp. 674-690
Closed Access | Times Cited: 28
Recurrent graph optimal transport for learning 3D flow motion in particle tracking
Jiaming Liang, Chao Xu, Shengze Cai
Nature Machine Intelligence (2023) Vol. 5, Iss. 5, pp. 505-517
Closed Access | Times Cited: 21
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
Arvind Srivastav, Soumyajit Mandal
IEEE Access (2023) Vol. 11, pp. 97147-97168
Open Access | Times Cited: 20
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
Zheng Qin, Hao Yu, Changjian Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 19
Dynamic Point Fields
Sergey Prokudin, Qianli Ma, Maxime Raafat, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 7930-7942
Closed Access | Times Cited: 19
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Itai Lang, Dror Aiger, Forrester Cole, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 18
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
Yaqi Shen, Le Hui, Jin Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 5271-5280
Open Access | Times Cited: 18
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
Jiuming Liu, Guangming Wang, Weicai Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 15109-15119
Closed Access | Times Cited: 6
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Ruibo Li, Guosheng Lin, Tong He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021) Vol. 40, pp. 364-373
Open Access | Times Cited: 38
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