Matthieu Lecce

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #14,155 of 21,575 by trust here, #11,498 by citations

Whom Matthieu Lecce trusts overall

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

1. Ce Liu
2. Aude Oliva
3. Antonio Torralba
4. Marcin Marszalek
5. Cordelia Schmid
6. Ivan Laptev
7. James Hays
8. Nitesh Shroff
9. Jianxiong Xiao
10. Li Fei-Fei

Who trusts Matthieu Lecce overall

1. Du Tran
2. Christoph Feichtenhofer
3. Christian Thériault
4. Chuang Gan
5. Lubomir D. Bourdev
6. Yaohua Sun

Papers from Matthieu Lecce's perspective

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

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

Their papers

• Single image 3D object detection and pose estimation for grasping (2014) — 251 citations
• Dynamic scene understanding: The role of orientation features in space and time in scene classification (2012) — 129 citations