Goran Konjevod

Computer Vision and Pattern Recognition · 2000–2016

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #18,809 of 21,575 by trust here, #12,172 by citations
• Computer Networks and Communications — 11 citations into it; #6,296 of 9,886 by trust here, #8,543 by citations
• Hardware and Architecture — 10 citations into it; #897 of 1,551 by trust here, #1,384 by citations
• Artificial Intelligence — 8 citations into it
• Electrical and Electronic Engineering — 5 citations into it; #8,913 of 16,539 by trust here, #14,827 by citations
• Model Architectures — 5 citations into it

Whom Goran Konjevod trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Sergey Ioffe
4. Kaiming He
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Sébastien Razakarivony
8. Yangqing Jia
9. Ross B. Girshick
10. Yann LeCun

Who trusts Goran Konjevod overall

1. Ümit Y. Ogras
2. Shubhra Aich
3. Radu Marculescu
4. Jittat Fakcharoenphol
5. M. Hsieh
6. T. Mundhenk
7. Adam Van Etten
8. Jakaria Rabbi

Papers from Goran Konjevod's perspective

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

Their papers

• A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning (2016) — 392 citations
• A polylogarithmic approximation algorithm for the group Steiner tree problem (2000) — 392 citations
• Linear programming based techniques for synthesis of network-on-chip architectures (2006) — 306 citations
• Origami based Mechanical Metamaterials (2014) — 367 citations