Ilker Hacihaliloglu
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 187 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it; #16,193 of 21,575 by trust here, #11,498 by citations
- Artificial Intelligence — 48 citations into it; #26,488 of 35,345 by trust here, #16,471 by citations
- Generative Models — 34 citations into it
- Radiology, Nuclear Medicine and Imaging — 34 citations into it; #2,001 of 3,265 by trust here, #1,550 by citations
- Model Architectures — 11 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Biophysics — 7 citations into it
Whom Ilker Hacihaliloglu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Jimmy Ba
- Alec Radford
Who trusts Ilker Hacihaliloglu overall
Papers from Ilker Hacihaliloglu's perspective
Ordered by how strongly the researchers Ilker Hacihaliloglu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Medical Transformer: Gated Axial-Attention for Medical Image Segmentation (2021) — 1,422 citations
- Diffusion models in medical imaging: A comprehensive survey (2022) — 763 citations