Grégory Rogez

2.6k total citations
28 papers, 696 citations indexed

About

Grégory Rogez is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Grégory Rogez has authored 28 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 6 papers in Human-Computer Interaction. Recurrent topics in Grégory Rogez's work include Human Pose and Action Recognition (22 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Vision and Imaging (8 papers). Grégory Rogez is often cited by papers focused on Human Pose and Action Recognition (22 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Vision and Imaging (8 papers). Grégory Rogez collaborates with scholars based in Spain, South Korea and United Kingdom. Grégory Rogez's co-authors include Philippe Weinzaepfel, Cordelia Schmid, Carlos Orrite, Philip H. S. Torr, Deva Ramanan, James Steven Supančič, Francesc Moreno-Noguer, Albert Pumarola, Enric Corona and Guillem Alenyà and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Grégory Rogez

25 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grégory Rogez Spain 13 552 192 174 148 134 28 696
Umar Iqbal United States 11 616 1.1× 177 0.9× 264 1.5× 94 0.6× 111 0.8× 20 755
Emre Aksan Switzerland 10 449 0.8× 103 0.5× 279 1.6× 92 0.6× 138 1.0× 13 591
Chris Bregler United States 9 786 1.4× 203 1.1× 168 1.0× 204 1.4× 106 0.8× 14 914
Atul Kanaujia United States 10 703 1.3× 138 0.7× 107 0.6× 220 1.5× 143 1.1× 17 791
Yuncheng Li China 6 361 0.7× 204 1.1× 132 0.8× 82 0.6× 47 0.4× 7 429
Manuel Kaufmann Germany 8 380 0.7× 104 0.5× 207 1.2× 50 0.3× 107 0.8× 19 509
Yujin Chen China 10 452 0.8× 139 0.7× 74 0.4× 136 0.9× 163 1.2× 16 622
Gyeongsik Moon South Korea 9 722 1.3× 227 1.2× 173 1.0× 41 0.3× 78 0.6× 17 799
Bart Nabbe United States 8 532 1.0× 96 0.5× 83 0.5× 75 0.5× 77 0.6× 14 668

Countries citing papers authored by Grégory Rogez

Since Specialization
Citations

This map shows the geographic impact of Grégory Rogez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Grégory Rogez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Rogez more than expected).

Fields of papers citing papers by Grégory Rogez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grégory Rogez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Grégory Rogez. The network helps show where Grégory Rogez may publish in the future.

Co-authorship network of co-authors of Grégory Rogez

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Rogez. A scholar is included among the top collaborators of Grégory Rogez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grégory Rogez. Grégory Rogez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leroy, Vincent, et al.. (2024). SHOWMe: Robust object-agnostic hand-object 3D reconstruction from RGB video. Computer Vision and Image Understanding. 247. 104073–104073. 4 indexed citations
2.
Lucas, Thomas G., et al.. (2024). Purposer: Putting Human Motion Generation in Context. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1310–1319.
3.
Weinzaepfel, Philippe, et al.. (2024). PoseScript: Linking 3D Human Poses and Natural Language. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5146–5159.
4.
Baradel, Fabien, et al.. (2024). Cross-View and Cross-Pose Completion for 3D Human Understanding. 1512–1523.
5.
Boissieux, Laurence, Edmond Boyer, Jean-Sébastien Franco, et al.. (2023). 4DHumanOutfit: A multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements. Computer Vision and Image Understanding. 237. 103836–103836. 4 indexed citations
6.
Volpi, Riccardo, et al.. (2023). Reliability in Semantic Segmentation: Are we on the Right Track?. 7173–7182. 14 indexed citations
7.
Choi, Hongsuk, et al.. (2022). MonoNHR: Monocular Neural Human Renderer. 242–251. 6 indexed citations
8.
Groueix, Thibault, et al.. (2022). PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–17. 12 indexed citations
9.
Corona, Enric, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, & Grégory Rogez. (2020). GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 5030–5040. 112 indexed citations
10.
Rogez, Grégory, Philippe Weinzaepfel, & Cordelia Schmid. (2019). LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1–1. 157 indexed citations
11.
Supančič, James Steven, Grégory Rogez, Yi Yang, Jamie Shotton, & Deva Ramanan. (2018). Depth-Based Hand Pose Estimation: Methods, Data, and Challenges. International Journal of Computer Vision. 126(11). 1180–1198. 51 indexed citations
12.
Rogez, Grégory, et al.. (2016). MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
13.
Rogez, Grégory, James Steven Supančič, & Deva Ramanan. (2015). First-person pose recognition using egocentric workspaces. 4325–4333. 52 indexed citations
14.
Rogez, Grégory, et al.. (2014). Monocular 3-D Gait Tracking in Surveillance Scenes. IEEE Transactions on Cybernetics. 44(6). 894–909. 13 indexed citations
15.
Rogez, Grégory, Carlos Orrite, J.J. Guerrero, & Philip H. S. Torr. (2014). Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments. Computer Vision and Image Understanding. 120. 126–140. 8 indexed citations
16.
Rogez, Grégory, Carlos Orrite-Uruñuela, & Jesús Martínez del Rincón. (2008). A spatio-temporal 2D-models framework for human pose recovery in monocular sequences. Pattern Recognition. 41(9). 2926–2944. 22 indexed citations
17.
Rogez, Grégory, J.J. Guerrero, & Carlos Orrite. (2007). View-invariant human feature extraction for video-surveillance applications. 800. 324–329. 13 indexed citations
18.
Ek, Carl Henrik, et al.. (2007). International workshop on machine learning for multimodal interaction. 33 indexed citations
19.
Rogez, Grégory, J.J. Guerrero, Jesús Martínez del Rincón, & Carlos Orrite. (2006). Viewpoint Independent Human Motion Analysis in Man-made Environments. 68.1–68.10. 14 indexed citations
20.
Orrite-Uruñuela, Carlos, Jesús Martínez del Rincón, Elías Herrero, & Grégory Rogez. (2004). 2D silhouette and 3D skeletal models for human detection and tracking. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 244–247 Vol.4. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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