Ondrej Miksik

Computer Vision and Pattern Recognition · 2012–2018

A researcher in the Science corpus: 8 papers; trusts 680 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 299 citations into it; #8,778 of 21,575 by trust here, #2,783 by citations
• Artificial Intelligence — 88 citations into it; #34,380 of 35,345 by trust here, #22,463 by citations
• Aerospace Engineering — 53 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Signal Processing — 15 citations into it
• Model Architectures — 14 citations into it
• Media Technology — 13 citations into it
• Biomedical Engineering — 11 citations into it

Whom Ondrej Miksik trusts overall

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

1. David G. Lowe
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Diederik P. Kingma
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Ondrej Miksik overall

1. Martin Danelljan
2. Georg Volk
3. Christian Häne
4. Nicholas Carlini
5. Vikash Sehwag
6. Simon Graham

Papers from Ondrej Miksik's perspective

Ordered by how strongly the researchers Ondrej Miksik trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Staple: Complementary Learners for Real-Time Tracking (2015) — 1,648 citations
• Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction (2015) — 213 citations
• The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
• The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
• On the Robustness of Semantic Segmentation Models to Adversarial Attacks (2017) — 339 citations
• Evaluation of local detectors and descriptors for fast feature matching (2012) — 299 citations