Umur Aybars Ciftci

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 328 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #9,574 of 21,575 by trust here, #14,822 by citations
• Experimental and Cognitive Psychology — 26 citations into it; #6,718 of 9,731 by trust here, #7,727 by citations
• Generative Models — 21 citations into it
• Cognitive Neuroscience — 14 citations into it
• Artificial Intelligence — 9 citations into it
• Biomedical Engineering — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Signal Processing — 6 citations into it

Whom Umur Aybars Ciftci trusts overall

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

1. Justus Thies
2. Chih-Jen Lin
3. Alec Radford
4. Geoffrey E. Hinton
5. François Chollet
6. Christian Szegedy
7. Individualized Treat
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Kaiming He

Who trusts Umur Aybars Ciftci overall

1. Deressa Wodajo
2. Sohail Ahmed Khan
3. Solomon Atnafu
4. Hang Dai
5. Luisa Verdoliva
6. Da-Wei Zhou
7. Yisroel Mirsky
8. Jing Li
9. Junjie Zhu

Papers from Umur Aybars Ciftci's perspective

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

Their papers

• FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals (2019) — 530 citations
• Facial Expression Recognition by De-expression Residue Learning (2018) — 384 citations
• Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis (2016) — 439 citations