Grégory Rogez

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 9 papers; trusts 1,161 researchers and is trusted by 618 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 265 citations into it; #1,723 of 21,575 by trust here, #4,438 by citations
• Artificial Intelligence — 89 citations into it; #27,800 of 35,345 by trust here, #18,586 by citations
• Human-Computer Interaction — 81 citations into it; #97 of 2,253 by trust here, #238 by citations
• Control and Systems Engineering — 48 citations into it
• 3D Vision & Pose — 39 citations into it
• Evaluation & Benchmarks — 37 citations into it
• Biomedical Engineering — 34 citations into it; #1,249 of 10,734 by trust here, #5,712 by citations
• Model Architectures — 19 citations into it

Whom Grégory Rogez trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karen Simonyan
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Ross B. Girshick
7. Yann LeCun
8. Diederik P. Kingma
9. Yoshua Bengio
10. Christian Szegedy

Who trusts Grégory Rogez overall

1. Georgios Pavlakos
2. Gyeongsik Moon
3. Dushyant Mehta
4. Angjoo Kanazawa
5. Bugra Tekin
6. Philippe Weinzaepfel
7. Michael J. Black
8. Cordelia Schmid
9. Xiaowei Zhou
10. Nikos Kolotouros

Papers from Grégory Rogez's perspective

Ordered by how strongly the researchers Grégory Rogez trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild (2016) — 282 citations
• LCR-Net: Localization-Classification-Regression for Human Pose (2017) — 324 citations
• GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes (2020) — 216 citations
• LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images (2018) — 309 citations
• The Open World of Micro-Videos (2016) — 38 citations
• Depth-Based Hand Pose Estimation: Methods, Data, and Challenges (2015) — 245 citations
• Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning (2020) — 91 citations
• International workshop on machine learning for multimodal interaction (2007) — 49 citations
• LCR-Net: Localization-Classification-Regression for Human Pose