Anirban Roy

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 155 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #9,206 of 21,575 by trust here, #12,172 by citations
• 3D Vision & Pose — 5 citations into it
• Media Technology — 5 citations into it; #1,296 of 3,621 by trust here, #1,423 by citations

Whom Anirban Roy trusts overall

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

1. Ashutosh Saxena
2. Fatih Murat Porikli
3. Yann LeCun
4. Peter Kontschieder
5. Samuel Rota Bulò
6. Carlo Tomasi
7. Andrew Y. Ng
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. David Eigen

Who trusts Anirban Roy overall

1. Fangchang Ma
2. Dan Xu
3. Huan Fu
4. Iro Laina
5. Jiaxiong Qiu
6. Sertac Karaman
7. Yinda Zhang
8. Octavio Loyola-González
9. Wanli Ouyang
10. Alvin Wan

Papers from Anirban Roy's perspective

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

Their papers

• Monocular Depth Estimation Using Neural Regression Forest (2016) — 327 citations