Anil Genç

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #13,621 of 21,575 by trust here, #17,757 by citations
• Media Technology — 11 citations into it; #2,075 of 3,621 by trust here, #2,706 by citations

Whom Anil Genç trusts overall

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

1. Srinivasa G. Narasimhan
2. Codruta Orniana Ancuti
3. Raanan Fattal
4. Robby T. Tan
5. Mohinder Malhotra
6. Cosmin Ancuți
7. Karen Simonyan
8. Shree K. Nayar
9. Andrew Zisserman
10. Jia Deng

Who trusts Anil Genç overall

1. Nantheera Anantrasirichai
2. Abdul Jabbar
3. Jie Gui

Papers from Anil Genç's perspective

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

Their papers

• Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing (2018) — 589 citations