Harun Gunaydin

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #19,950 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 6 citations into it
• Model Architectures — 5 citations into it

Whom Harun Gunaydin trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. X. Zhang
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Jimmy Ba
9. Yann LeCun
10. Yoshua Bengio

Who trusts Harun Gunaydin overall

1. Yair Rivenson
2. George Barbastathis

Papers from Harun Gunaydin's perspective

Ordered by how strongly the researchers Harun Gunaydin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks (2017) — 403 citations
• Phase recovery and holographic image reconstruction using deep learning in neural networks (2017) — 955 citations