Gabriel Takacs

Computer Vision and Pattern Recognition · 2008–2011

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #16,072 of 21,575 by trust here, #14,822 by citations
• Aerospace Engineering — 8 citations into it; #5,786 of 6,421 by trust here, #3,644 by citations

Whom Gabriel Takacs trusts overall

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

1. David Nistér
2. Krystian Mikolajczyk
3. Paul A. Viola
4. Kristen Grauman
5. Yan Ke
6. James Ze Wang
7. Kevin W. Bowyer
8. David G. Lowe
9. Cordelia Schmid
10. Jia Li

Who trusts Gabriel Takacs overall

1. Daniel Wagner
2. Dimitris Chatzopoulos
3. Gerhard Reitmayr

Papers from Gabriel Takacs's perspective

Ordered by how strongly the researchers Gabriel Takacs 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Residual Enhanced Visual Vectors for on-device image matching (2011) — 46 citations
• Outdoors augmented reality on mobile phone using loxel-based visual feature organization (2008) — 343 citations