Jean-François Lalonde

Computer Vision and Pattern Recognition · 2005–2021

A researcher in the Science corpus: 6 papers; trusts 297 researchers and is trusted by 188 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it; #2,723 of 21,575 by trust here, #7,499 by citations
• Aerospace Engineering — 20 citations into it; #2,385 of 6,421 by trust here, #1,477 by citations
• Artificial Intelligence — 14 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it
• Optimization & Training — 6 citations into it
• Atomic and Molecular Physics, and Optics — 5 citations into it; #2,641 of 7,135 by trust here, #5,741 by citations
• Evaluation & Benchmarks — 5 citations into it
• Model Architectures — 5 citations into it

Whom Jean-François Lalonde trusts overall

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

1. Kaiming He
2. Bryan C. Russell
3. Antonio Torralba
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yossi Rubner
8. Diederik P. Kingma
9. Patrick Pérez
10. Derek Hoiem

Who trusts Jean-François Lalonde overall

1. Antonio Torralba
2. Jun-Yan Zhu
3. Alexei A. Efros
4. Radu Bogdan Rusu
5. Panagiotis Papadakis
6. Bryan C. Russell
7. Derek Hoiem
8. Jianxiong Xiao
9. James Hays
10. Minyoung Huh

Papers from Jean-François Lalonde's perspective

Ordered by how strongly the researchers Jean-François Lalonde 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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

• Photo clip art (2007) — 322 citations
• Deep Template-based Object Instance Detection (2021) — 31 citations
• Using Color Compatibility for Assessing Image Realism (2007) — 171 citations
• Learning to predict indoor illumination from a single image (2017) — 398 citations
• Natural terrain classification using three‐dimensional ladar data for ground robot mobility (2006) — 512 citations
• Scale selection for classification of point-sampled 3D surfaces (2005) — 97 citations