Jacek Naruniec

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #17,185 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 11 citations into it
• Signal Processing — 5 citations into it

Whom Jacek Naruniec trusts overall

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

1. Diederik P. Kingma
2. Navneet Dalal
3. Kaiming He
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Xudong Cao
8. Alex Krizhevsky
9. Jimmy Ba
10. David G. Lowe

Who trusts Jacek Naruniec overall

1. Jordan Yaniv
2. Yu Chen
3. Kfir Aberman

Papers from Jacek Naruniec's perspective

Ordered by how strongly the researchers Jacek Naruniec 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Histograms of oriented gradients for human detection

Their papers

• Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment (2017) — 334 citations
• Augmentation for small object detection (2019) — 674 citations