Deboleena Roy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 286 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #10,122 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 37 citations into it; #15,793 of 35,345 by trust here, #27,551 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 11 citations into it

Whom Deboleena Roy trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Sergey Ioffe
5. Karen Simonyan
6. Ilya Sutskever
7. Yoshua Bengio
8. Andrea Vedaldi
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Deboleena Roy overall

1. Umberto Michieli
2. Pietro Zanuttigh
3. Julien Pourcel
4. Xiaoliang Dai
5. Syed Shakib Sarwar
6. Hongxu Yin
7. Ngoc-Son Vu
8. Aayush Ankit
9. Gobinda Saha

Papers from Deboleena Roy's perspective

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

Their papers

• Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning (2018) — 29 citations
• Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning (2018) — 242 citations