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:

Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition
Noriko Takemura, Yasushi Makihara, Daigo Muramatsu, et al.
IPSJ Transactions on Computer Vision and Applications (2018) Vol. 10, Iss. 1
Open Access | Times Cited: 345

Showing 1-25 of 345 citing articles:

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 8126-8133
Open Access | Times Cited: 463

GaitPart: Temporal Part-Based Model for Gait Recognition
Chao Fan, Yunjie Peng, Chunshui Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 14213-14221
Closed Access | Times Cited: 369

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation
Beibei Lin, Shunli Zhang, Xin Yu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 14628-14636
Open Access | Times Cited: 201

Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
Torben Teepe, Ali R. Khan, Johannes Gilg, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2021), pp. 2314-2318
Open Access | Times Cited: 186

Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition
Saihui Hou, Chunshui Cao, Xu Liu, et al.
Lecture notes in computer science (2020), pp. 382-398
Closed Access | Times Cited: 167

Deep Gait Recognition: A Survey
Alireza Sepas‐Moghaddam, Ali Etemad
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 264-284
Open Access | Times Cited: 165

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Hanqing Chao, Kun Wang, Yiwei He, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 137

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
Jinkai Zheng, Xinchen Liu, Wu Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20196-20205
Open Access | Times Cited: 123

Context-Sensitive Temporal Feature Learning for Gait Recognition
Xiaohu Huang, Duowang Zhu, Hao Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 12889-12898
Closed Access | Times Cited: 120

OpenGait: Revisiting Gait Recognition Toward Better Practicality
Chao Fan, Junhao Liang, Chuanfu Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9707-9716
Open Access | Times Cited: 105

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 91

Towards a Deeper Understanding of Skeleton-based Gait Recognition
Torben Teepe, Johannes Gilg, Fabian Herzog, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1568-1576
Open Access | Times Cited: 72

Synthetic Data in Human Analysis: A Survey
Indu Joshi, Marcel Grimmer, Christian Rathgeb, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 7, pp. 4957-4976
Open Access | Times Cited: 22

An Exploration of Gait Datasets and Their Implications
Appoorva Bansal, Arpit Jain, Shambhu Bharadwaj
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024)
Closed Access | Times Cited: 18

Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences
Weizhi An, Shiqi Yu, Yasushi Makihara, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2020) Vol. 2, Iss. 4, pp. 421-430
Open Access | Times Cited: 130

Cross-View Gait Recognition by Discriminative Feature Learning
Yuqi Zhang, Yongzhen Huang, Shiqi Yu, et al.
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 1001-1015
Closed Access | Times Cited: 129

3D Local Convolutional Neural Networks for Gait Recognition
Zhen Huang, Di-Xiu Xue, Xu Shen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 14900-14909
Closed Access | Times Cited: 92

Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks
Chi Xu, Yasushi Makihara, Xiang Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 1, pp. 260-274
Open Access | Times Cited: 83

Gait-based Person Re-identification
Athira Nambiar, Alexandre Bernardino, Jacinto C. Nascimento
ACM Computing Surveys (2019) Vol. 52, Iss. 2, pp. 1-34
Closed Access | Times Cited: 79

Multi-View Gait Image Generation for Cross-View Gait Recognition
Xin Chen, Xizhao Luo, Jian Weng, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 3041-3055
Closed Access | Times Cited: 74

Gait Recognition in the Wild: A Benchmark

2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 14769-14779
Closed Access | Times Cited: 70

A Survey of Human Gait-Based Artificial Intelligence Applications
Elsa J. Harris, I‐Hung Khoo, Emel Demircan
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 67

GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality
Junhao Liang, Chao Fan, Saihui Hou, et al.
Lecture notes in computer science (2022), pp. 375-390
Closed Access | Times Cited: 60

Gait Recognition Based on Deep Learning: A Survey
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-34
Open Access | Times Cited: 58

Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition
Tianrui Chai, Annan Li, Shaoxiong Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20217-20226
Closed Access | Times Cited: 50

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