Marco San-Biagio
Computer Vision and Pattern Recognition · 2014–2016
A researcher in the Science corpus: 3 papers; trusts 125 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it; #15,194 of 21,575 by trust here, #20,271 by citations
- Artificial Intelligence — 20 citations into it
- Human-Computer Interaction — 10 citations into it
- Media Technology — 8 citations into it
- Applied Mathematics — 6 citations into it
Whom Marco San-Biagio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mehrtash Harandi
- Chih-Jen Lin
- G. Larotonda
- Sadeep Jayasumana
- Mathieu Salzmann
- Fatih Murat Porikli
- Bernhard Schölkopf
- Geoffrey E. Hinton
- Shaohua Kevin Zhou
- Ha Quang Minh
Who trusts Marco San-Biagio overall
Papers from Marco San-Biagio's perspective
Ordered by how strongly the researchers Marco San-Biagio trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Kernelized covariance for action recognition (2016) — 47 citations
- Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification (2016) — 23 citations
- Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces (2014) — 83 citations