Ashish Sinha

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 176 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #7,571 of 21,575 by trust here, #14,478 by citations
• Model Architectures — 6 citations into it

Whom Ashish Sinha trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Liang-Chieh Chen
5. Alex Krizhevsky
6. Olaf Ronneberger
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Karen Simonyan

Who trusts Ashish Sinha overall

1. Xiaohong Huang
2. Luís Pinto-Coelho
3. Gianni Brauwers
4. Andrew Tao
5. Dandan Li
6. Xueguang Yuan
7. Flavius Frasincar
8. Karan Sapra
9. Bryan Catanzaro
10. Yunhe Gao

Papers from Ashish Sinha's perspective

Ordered by how strongly the researchers Ashish Sinha 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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

• Multi-Scale Self-Guided Attention for Medical Image Segmentation (2019) — 509 citations