Viresh Ranjan

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #8,860 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 22 citations into it; #13,591 of 35,345 by trust here, #15,866 by citations

Whom Viresh Ranjan trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Antoni B. Chan
4. Geoffrey E. Hinton
5. Daniel Oñoro-Rubio
6. Vishwanath A. Sindagi
7. Kaiming He
8. Deepak Babu Sam
9. Andrew Zisserman
10. Sheng-Fuu Lin

Who trusts Viresh Ranjan overall

1. Qi Wang
2. Vishwanath A. Sindagi
3. Huidong Liu
4. Weizhe Liu
5. Songtao Liu
6. Junyu Gao
7. Rajeev Yasarla
8. Dimitris Samaras
9. Di Huang
10. Mathieu Salzmann

Papers from Viresh Ranjan's perspective

Ordered by how strongly the researchers Viresh Ranjan 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles (2016) — 199 citations
• Iterative Crowd Counting (2018) — 297 citations