Souvik Kundu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 6 citations into it

Whom Souvik Kundu trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Kaiming He
4. Karen Simonyan
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Yann LeCun
9. Sergey Ioffe
10. Yoshua Bengio

Papers from Souvik Kundu's perspective

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

Their papers

• Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks (2020) — 37 citations