Gaurav Kaul

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 60 citations into it
• Multimodal Learning — 23 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Natural Language Processing — 16 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Large Language Models — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Gaurav Kaul trusts overall

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

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

Who trusts Gaurav Kaul overall

1. Jiasen Lu
2. Patrick Schramowski
3. Oron Ashual
4. Oran Gafni
5. Axel Sauer
6. Lijie Fan

Papers from Gaurav Kaul's perspective

Ordered by how strongly the researchers Gaurav Kaul 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• RedCaps: web-curated image-text data created by the people, for the people (2021) — 213 citations