Ivica Kopriva

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 24 citations into it
• Computational Mechanics — 17 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Ivica Kopriva trusts overall

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

1. Daniel D. Lee
2. Jianbo Shi
3. Guangcan Liu
4. René Vidal
5. Ian T. Jolliffe
6. Geoffrey E. Hinton
7. Chris H. Q. Ding
8. Jitendra Malik
9. Michael I. Jordan
10. Paolo Favaro

Papers from Ivica Kopriva's perspective

Ordered by how strongly the researchers Ivica Kopriva 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multi-view low-rank sparse subspace clustering (2017) — 453 citations
• A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering (2017) — 68 citations