Partha Pratim Roy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Multimodal Learning — 5 citations into it

Whom Partha Pratim Roy trusts overall

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

1. Geoffrey E. Hinton
2. Jimmy Ba

Papers from Partha Pratim Roy's perspective

Ordered by how strongly the researchers Partha Pratim Roy trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Cogni-Net: Cognitive Feature Learning Through Deep Visual Perception (2018) — 19 citations