Prajwal Gatti

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 17 citations into it
• Multimodal Learning — 12 citations into it

Whom Prajwal Gatti trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Shaoqing Ren
5. Ross B. Girshick
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Jiasen Lu
9. Yoshua Bengio
10. Yann LeCun

Papers from Prajwal Gatti's perspective

Ordered by how strongly the researchers Prajwal Gatti 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• COFAR: Commonsense and Factual Reasoning in Image Search (2022) — 4 citations