Gözde B. Ünal

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 301 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it; #10,825 of 21,575 by trust here, #2,857 by citations
• Artificial Intelligence — 35 citations into it
• Generative Models — 14 citations into it
• Media Technology — 14 citations into it
• Model Architectures — 12 citations into it
• Biophysics — 11 citations into it
• Optimization & Training — 11 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Gözde B. Ünal trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Individualized Treat
7. Yann LeCun
8. Jimmy Ba
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Gözde B. Ünal overall

1. Rameen Abdal
2. Abdul Jabbar

Papers from Gözde B. Ünal's perspective

Ordered by how strongly the researchers Gözde B. Ünal 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015) — 6,325 citations
• Non-rigid 3D Shape Retrieval (2015) — 68 citations
• CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation (2020) — 882 citations
• Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications (2012) — 308 citations
• Patch-Based Image Inpainting with Generative Adversarial Networks (2018) — 314 citations