Abhishek Gupta

Computer Vision and Pattern Recognition · with Anpalagan · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it

Whom Abhishek Gupta trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Yann LeCun
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Shaoqing Ren
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Papers from Abhishek Gupta's perspective

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

Their papers

• Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues (2021) — 493 citations