André Anjos
Computer Vision and Pattern Recognition · 2011–2016
A researcher in the Science corpus: 10 papers; trusts 89 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 100 citations into it; #4,266 of 21,575 by trust here, #5,422 by citations
- Signal Processing — 76 citations into it; #678 of 7,572 by trust here, #829 by citations
- Information Systems — 31 citations into it; #3,309 of 8,771 by trust here, #4,341 by citations
- Artificial Intelligence — 11 citations into it
- Safety, Robustness & Interpretability — 9 citations into it; #521 of 2,251 by trust here, #1,371 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Human-Computer Interaction — 6 citations into it
- Neurology — 6 citations into it
Whom André Anjos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivana Chingovska
- Sébastien Marcel
- Bernhard Fröba
- Radford M. Neal
- Martin A. Riedmiller
- Vladimir Naumovich Vapni
- Anil K. Jain
- Ce Liu
- Xiaoyang Tan
- N. M. Duc
Who trusts André Anjos overall
- Sébastien Marcel
- Abdenour Hadid
- Javier Galbally
- Ivana Chingovska
- Ramachandra Raghavendra
- Hu Han
- Yaojie Liu
- Jukka Komulainen
- Jianwei Yang
- Di Wen
Papers from André Anjos's perspective
Ordered by how strongly the researchers André Anjos trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Histograms of oriented gradients for human detection
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Counter-measures to photo attacks in face recognition: A public database and a baseline (2011) — 372 citations
- Motion-based counter-measures to photo attacks in face recognition (2014) — 166 citations
- Competition on counter measures to 2-D facial spoofing attacks (2011) — 178 citations
- Anti-spoofing in Action: Joint Operation with a Verification System (2013) — 74 citations
- Face Recognition Systems Under Spoofing Attacks (2016) — 101 citations
- Evaluation Methodologies (2014) — 14 citations
- Face Anti-spoofing: Visual Approach (2014) — 29 citations
- Biometrics Evaluation Under Spoofing Attacks (2014) — 111 citations
- LBP − T OP based countermeasure against face spoofing attacks (2012)
- On the effectiveness of local binary patterns in face anti-spoofing (2012) — 1,048 citations