Sudhanshu Kasewa

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it

Whom Sudhanshu Kasewa trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Pieter Abbeel

Papers from Sudhanshu Kasewa's perspective

Ordered by how strongly the researchers Sudhanshu Kasewa 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Microsoft COCO: Common Objects in Context
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning From Demonstration in the Wild (2018) — 77 citations