Rishabh Jain

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #21,270 of 21,575 by trust here, #6,606 by citations
• Artificial Intelligence — 46 citations into it; #34,873 of 35,345 by trust here, #8,525 by citations
• Natural Language Processing — 22 citations into it

Whom Rishabh Jain trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Ilya Sutskever
7. Shaoqing Ren
8. Diederik P. Kingma
9. Yann LeCun
10. Karen Simonyan

Who trusts Rishabh Jain overall

1. Lijuan Wang

Papers from Rishabh Jain's perspective

Ordered by how strongly the researchers Rishabh Jain 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• nocaps: novel object captioning at scale (2019) — 658 citations
• EvalAI: Towards Better Evaluation Systems for AI Agents (2019) — 77 citations