Harsh Rai

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 7 citations into it; #183 of 1,956 by trust here, #247 by citations

Whom Harsh Rai trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Individualized Treat
4. Ilya Sutskever
5. Nitish Srivastava
6. Stanislau Semeniuta
7. Phillip Isola
8. Xudong Mao
9. Jinsung Yoon
10. Yoshua Bengio

Who trusts Harsh Rai overall

1. Sagie Benaim
2. Xuanyi Dong
3. Yi Yang
4. Luc Van Gool
5. Hany Farid
6. Lior Wolf
7. Chongyi Li
8. Ming-Yu Liu
9. Yunjey Choi
10. Yuhua Chen

Papers from Harsh Rai's perspective

Ordered by how strongly the researchers Harsh Rai 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (2018)