Supratik Paul

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it

Whom Supratik Paul trusts overall

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

1. Kaiming He

Papers from Supratik Paul's perspective

Ordered by how strongly the researchers Supratik Paul 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Gradient-based learning applied to document recognition
7. Mask R-CNN
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Learning From Demonstration in the Wild (2018) — 77 citations