Shobhita Sundaram

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it
• Artificial Intelligence — 20 citations into it

Whom Shobhita Sundaram trusts overall

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

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

Papers from Shobhita Sundaram's perspective

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

Their papers

• DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (2023) — 356 citations