Dijana Tolic

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 11 citations into it
• Computational Mechanics — 5 citations into it

Whom Dijana Tolic trusts overall

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

1. Chris H. Q. Ding
2. Daniel D. Lee
3. Michael I. Jordan
4. Jianbo Shi
5. Andrew Y. Ng
6. Francis R. Bach
7. Mikhail Belkin
8. Christopher K. I. Williams
9. Ehsan Elhamifar
10. Jitendra Malik

Who trusts Dijana Tolic overall

1. K. J. Joseph
2. Sujoy Paul

Papers from Dijana Tolic's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering (2017) — 68 citations