Sukrit Gupta

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Artificial Intelligence — 31 citations into it
• Biomedical Engineering — 22 citations into it
• Model Architectures — 12 citations into it

Whom Sukrit Gupta trusts overall

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

1. Christian Szegedy
2. Geoffrey E. Hinton
3. Kaiming He
4. Sergey Ioffe
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Qi-Yan Dou
10. Karen Simonyan

Papers from Sukrit Gupta's perspective

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

Their papers

• Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors (2020) — 156 citations
• 3D Deep Learning on Medical Images: A Review (2020) — 569 citations