Mark Finocchio

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 469 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #1,957 of 21,575 by trust here, #1,294 by citations
• Artificial Intelligence — 9 citations into it
• Algorithms & Complexity — 7 citations into it
• Human-Computer Interaction — 6 citations into it; #244 of 2,253 by trust here, #7 by citations

Whom Mark Finocchio trusts overall

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

1. Jitendra Malik

Who trusts Mark Finocchio overall

1. Lubor Ladicky
2. Hossein Rahmani
3. Liefeng Bo
4. Matthias Dantone
5. Shuran Song
6. Y. Zhu
7. Jiang Wang
8. Saurabh Gupta
9. Xiaofeng Ren
10. Junsong Yuan

Papers from Mark Finocchio's perspective

Ordered by how strongly the researchers Mark Finocchio 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
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. Long Short-Term Memory

Their papers

• Real-time human pose recognition in parts from single depth images (2011) — 5,429 citations
• Efficient Human Pose Estimation from Single Depth Images (2013) — 462 citations