Aseem Behl

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 1,119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 242 citations into it
• Aerospace Engineering — 78 citations into it
• Artificial Intelligence — 48 citations into it
• Environmental Engineering — 22 citations into it
• 3D Vision & Pose — 21 citations into it
• Media Technology — 20 citations into it
• Automotive Engineering — 18 citations into it
• Evaluation & Benchmarks — 15 citations into it

Whom Aseem Behl trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Karen Simonyan
7. Diederik P. Kingma
8. Yoshua Bengio
9. Andrew Zisserman
10. David G. Lowe

Papers from Aseem Behl's perspective

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

Their papers

• Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017) — 934 citations