Samuele Salti
Computer Vision and Pattern Recognition · 2010–2017
A researcher in the Science corpus: 6 papers; trusts 397 researchers and is trusted by 81 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 78 citations into it; #3,202 of 21,575 by trust here, #4,584 by citations
- Aerospace Engineering — 56 citations into it; #178 of 6,421 by trust here, #634 by citations
- Computational Mechanics — 17 citations into it; #1,092 of 10,001 by trust here, #1,985 by citations
- 3D Vision & Pose — 16 citations into it; #140 of 689 by trust here, #328 by citations
- Geology — 12 citations into it; #36 of 687 by trust here, #114 by citations
- Environmental Engineering — 7 citations into it
- Information Retrieval & Search — 5 citations into it
- Media Technology — 5 citations into it
Whom Samuele Salti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yu Zhong
- Andrew E. Johnson
- Federico Tombari
- Krystian Mikolajczyk
- Cordelia Schmid
- Hui Chen
- Martial Hebert
- Radu Bogdan Rusu
- Andrea Frome
Who trusts Samuele Salti overall
- Yulan Guo
- Zi Jian Yew
- Federico Tombari
- Michael Firman
- Mohammed Bennamoun
- Haowen Deng
- Min Lu
- Alessio Tonioni
- Gim Hee Lee
- Yang You
Papers from Samuele Salti's perspective
Ordered by how strongly the researchers Samuele Salti trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Unique Signatures of Histograms for Local Surface Description (2010) — 1,636 citations
- SHOT: Unique signatures of histograms for surface and texture description (2014) — 986 citations
- Unique shape context for 3d data description (2010) — 377 citations
- A combined texture-shape descriptor for enhanced 3D feature matching (2011) — 329 citations
- Performance Evaluation of 3D Keypoint Detectors (2012) — 472 citations
- Learning to Detect Good 3D Keypoints (2017) — 49 citations