Prithviraj Dhar

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #7,075 of 21,575 by trust here, #4,807 by citations
• Artificial Intelligence — 13 citations into it; #10,269 of 35,345 by trust here, #6,569 by citations

Whom Prithviraj Dhar trusts overall

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

1. Rahaf Aljundi
2. Ross B. Girshick
3. Li Fei-Fei
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Sergey Zagoruyko
8. Zhizhong Li
9. Yoshua Bengio
10. Rob Fergus

Who trusts Prithviraj Dhar overall

1. Tyler L. Hayes
2. Ali Ayub
3. Gyuhak Kim
4. Arthur Douillard
5. Marc Masana
6. Christopher Kanan
7. Fei Zhu
8. Bartłomiej Twardowski
9. Xialei Liu
10. Alan R. Wagner

Papers from Prithviraj Dhar's perspective

Ordered by how strongly the researchers Prithviraj Dhar 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. 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. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Without Memorizing (2018) — 585 citations