Matei Mancas

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Cognitive Neuroscience — 9 citations into it

Whom Matei Mancas trusts overall

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

1. Ofir Pele
2. O. Le Meur
3. Ali Borji
4. Gabriele Fanelli
5. Laurent Itti
6. Xiaodi Hou
7. Erik Murphy-Chutorian
8. Roy T. Fielding

Papers from Matei Mancas's perspective

Ordered by how strongly the researchers Matei Mancas 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Random Forests
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics (2013) — 298 citations
• 3D Head Pose Estimation for TV Setups (2013) — 5 citations