Igor Durdanovic

Computer Vision and Pattern Recognition · 2004–2016

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 215 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #2,636 of 21,575 by trust here, #2,148 by citations
• Artificial Intelligence — 23 citations into it; #4,034 of 35,345 by trust here, #2,869 by citations
• Efficiency & Compression — 21 citations into it; #138 of 1,264 by trust here, #117 by citations
• Model Architectures — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Igor Durdanovic trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Alex Krizhevsky
5. Song Han
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Ronan Collobert
10. Sergey Ioffe

Who trusts Igor Durdanovic overall

1. Yang He
2. Jonathan Frankle
3. Yihui He
4. Xuanyi Dong
5. Angela Fan
6. Yi Yang
7. Zhuang Liu
8. Jian-Hao Luo
9. Gao Huang
10. Xiaohan Ding

Papers from Igor Durdanovic's perspective

Ordered by how strongly the researchers Igor Durdanovic 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. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Pruning Filters for Efficient ConvNets (2016) — 4,125 citations
• Parallel Support Vector Machines: The Cascade SVM (2004) — 507 citations