Pavel Krízek
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 88 citations into it
- Artificial Intelligence — 37 citations into it
- Generative Models — 35 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
- Signal Processing — 7 citations into it
Whom Pavel Krízek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ian J. Goodfellow
- Christian Szegedy
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
Who trusts Pavel Krízek overall
Papers from Pavel Krízek's perspective
Ordered by how strongly the researchers Pavel Krízek 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- SoilingNet: Soiling Detection on Automotive Surround-View Cameras (2019) — 58 citations
- Challenges in Designing Datasets and Validation for Autonomous Driving (2019) — 40 citations
- Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving (2019) — 60 citations
- ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging (2014) — 1,425 citations
- A benchmark for comparison of cell tracking algorithms (2014) — 439 citations