Osman Semih Kayhan
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 843 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 78 citations into it
- Artificial Intelligence — 38 citations into it
- Model Architectures — 29 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Signal Processing — 8 citations into it
- Aerospace Engineering — 5 citations into it
Whom Osman Semih Kayhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yann LeCun
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Shaoqing Ren
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Osman Semih Kayhan overall
Papers from Osman Semih Kayhan's perspective
Ordered by how strongly the researchers Osman Semih Kayhan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location (2020) — 278 citations
- Hallucination In Object Detection — A Study In Visual Part VERIFICATION (2021) — 20 citations