Gurneet Arora

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 268 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 32 citations into it
• Multimodal Learning — 21 citations into it
• Question Answering & Reading Comprehension — 10 citations into it
• Natural Language Processing — 9 citations into it

Whom Gurneet Arora trusts overall

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

1. Kaiming He
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Alex Krizhevsky
6. Sepp Hochreiter
7. Yoshua Bengio
8. Andrew Zisserman
9. Shaoqing Ren
10. Diederik P. Kingma

Who trusts Gurneet Arora overall

1. Antoine Yang

Papers from Gurneet Arora's perspective

Ordered by how strongly the researchers Gurneet Arora 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering (2020) — 39 citations