Ashwin Ramesh Babu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 254 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 51 citations into it
• Representation & Self-Supervised Learning — 45 citations into it
• Optimization & Training — 5 citations into it

Whom Ashwin Ramesh Babu trusts overall

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

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

Who trusts Ashwin Ramesh Babu overall

1. Chengxi Zang

Papers from Ashwin Ramesh Babu's perspective

Ordered by how strongly the researchers Ashwin Ramesh Babu 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey on Contrastive Self-supervised Learning (2020) — 1,772 citations
• A Survey of Robots in Healthcare (2021) — 345 citations