Marius Leordeanu

Computer Vision and Pattern Recognition · 2005–2014

A researcher in the Science corpus: 6 papers; trusts 550 researchers and is trusted by 517 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it; #1,853 of 21,575 by trust here, #3,765 by citations
• Artificial Intelligence — 22 citations into it; #5,243 of 35,345 by trust here, #9,968 by citations
• Evaluation & Benchmarks — 11 citations into it
• Media Technology — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Signal Processing — 7 citations into it
• Human-Computer Interaction — 6 citations into it; #128 of 2,253 by trust here, #306 by citations
• Computational Mechanics — 5 citations into it

Whom Marius Leordeanu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Jitendra Malik
4. Pablo Arbeláez
5. Kaiming He
6. Yoshua Bengio
7. David G. Lowe
8. Ross B. Girshick
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Marius Leordeanu overall

1. Quanshi Zhang
2. Feng Zhou
3. Jiayi Ma
4. Minsu Cho
5. Xingyu Jiang
6. Roee Litman
7. Jun Liu
8. Lorenzo Torresani
9. Shijun Wang
10. Lilian Zhang

Papers from Marius Leordeanu's perspective

Ordered by how strongly the researchers Marius Leordeanu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation (2008) — 239 citations
• A spectral technique for correspondence problems using pairwise constraints (2005) — 1,338 citations
• The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection (2013) — 463 citations
• Generalized Boundaries from Multiple Image Interpretations (2012) — 54 citations
• Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering (2014) — 7 citations
• An Integer Projected Fixed Point Method for Graph Matching and MAP Inference (2009) — 357 citations