Soumava Kumar Roy

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #14,880 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 41 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Soumava Kumar Roy trusts overall

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

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

Who trusts Soumava Kumar Roy overall

1. Christian Simon

Papers from Soumava Kumar Roy's perspective

Ordered by how strongly the researchers Soumava Kumar Roy 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning (2021) — 233 citations
• Bilinear Attention Networks for Person Retrieval (2019) — 156 citations