Suprosanna Shit

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 225 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Media Technology — 17 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 7 citations into it

Whom Suprosanna Shit trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Chao Dong
4. Yann LeCun
5. Kaiming He
6. Yoshua Bengio
7. Jianchao Yang
8. Alex Krizhevsky
9. Zhou Wang
10. Jimmy Ba

Papers from Suprosanna Shit's perspective

Ordered by how strongly the researchers Suprosanna Shit 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation (2020) — 549 citations
• Machine learning analysis of whole mouse brain vasculature (2020) — 307 citations
• Training-Free, Single-Image Super-Resolution Using a Dynamic Convolutional Network (2018) — 22 citations