Rajshekhar Sunderraman

Computer Vision and Pattern Recognition · 2004–2021

A researcher in the Science corpus: 4 papers; trusts 127 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 27 citations into it; #34,161 of 35,345 by trust here, #25,809 by citations
• Generative Models — 23 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Rajshekhar Sunderraman trusts overall

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

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

Who trusts Rajshekhar Sunderraman overall

1. Jun Ye
2. Surapati Pramanik
3. Monoranjan Bhowmik
4. Peide Liu

Papers from Rajshekhar Sunderraman's perspective

Ordered by how strongly the researchers Rajshekhar Sunderraman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Text-to-Image Synthesis Using Contrastive Learning (2021) — 93 citations
• Interval Neutrosophic Sets and Logic: Theory and Applications in Computing (2005) — 744 citations
• Interval Neutrosophic Sets (2004) — 77 citations
• Single Valued Neutrosophic Sets (2010) — 1,965 citations