Akshay Chawla

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 175 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #15,750 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 19 citations into it; #25,694 of 35,345 by trust here, #31,361 by citations

Whom Akshay Chawla trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Karen Simonyan
6. Jimmy Ba
7. Joseph Redmon
8. Jia Deng
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Akshay Chawla overall

1. B. Ermiş
2. Giovanni Zappella
3. Martin Wistuba

Papers from Akshay Chawla's perspective

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

Their papers

• Data-free Knowledge Distillation for Object Detection (2021) — 88 citations