Somdeb Majumdar

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 13 citations into it
• Generative Models — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Somdeb Majumdar trusts overall

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

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

Papers from Somdeb Majumdar's perspective

Ordered by how strongly the researchers Somdeb Majumdar 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos (2022) — 144 citations