Prithvijit Chakrabarty

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Prithvijit Chakrabarty trusts overall

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

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

Who trusts Prithvijit Chakrabarty overall

1. Xingjie Zhao

Papers from Prithvijit Chakrabarty's perspective

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

• Automatic Adaptation of Object Detectors to New Domains Using Self-Training (2019) — 184 citations