Tomasz Trzcinski

Computer Vision and Pattern Recognition · with Kowalski · 2017

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #17,187 of 21,575 by trust here, #17,258 by citations
• Signal Processing — 5 citations into it

Whom Tomasz Trzcinski trusts overall

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

1. Diederik P. Kingma
2. Navneet Dalal
3. Xudong Cao
4. Shaoqing Ren
5. Iain Matthews
6. Xiangxin Zhu
7. David Cristinacce
8. Xuehan Xiong
9. Vidit Jain
10. Vahid Kazemi

Who trusts Tomasz Trzcinski overall

1. Ariel Shamir
2. Yael Newman
3. Jordan Yaniv

Papers from Tomasz Trzcinski's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Histograms of oriented gradients for human detection
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Dropout: a simple way to prevent neural networks from overfitting
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment (2017) — 334 citations