Luigi Di Stefano
Computer Vision and Pattern Recognition · 2004–2018
A researcher in the Science corpus: 9 papers; trusts 524 researchers and is trusted by 92 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 114 citations into it; #3,078 of 21,575 by trust here, #3,955 by citations
- Aerospace Engineering — 67 citations into it; #166 of 6,421 by trust here, #575 by citations
- 3D Vision & Pose — 22 citations into it; #141 of 689 by trust here, #328 by citations
- Computational Mechanics — 18 citations into it; #1,108 of 10,001 by trust here, #1,985 by citations
- Geology — 16 citations into it; #38 of 687 by trust here, #114 by citations
- Media Technology — 15 citations into it; #2,085 of 3,621 by trust here, #3,318 by citations
- Environmental Engineering — 8 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Luigi Di Stefano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Andrew E. Johnson
- Yu Zhong
- Federico Tombari
- Hui Chen
- Krystian Mikolajczyk
- Martial Hebert
- Cordelia Schmid
- Samuele Salti
- Andrea Frome
Who trusts Luigi Di Stefano overall
- Yulan Guo
- Federico Tombari
- Samuele Salti
- Zi Jian Yew
- Roberto Quevedo
- Mohammed Bennamoun
- Min Lu
- Nalpantidis Lazaros
- Yuanxin Ye
- Alessio Tonioni
Papers from Luigi Di Stefano's perspective
Ordered by how strongly the researchers Luigi Di Stefano 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
- ImageNet Large Scale Visual Recognition Challenge
- Distinctive Image Features from Scale-Invariant Keypoints
- Attention is All you Need (Neural Information Processing Systems)
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
- A Global Hypotheses Verification Method for 3D Object Recognition (2012) — 187 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
- Real-Time Self-Adaptive Deep Stereo (2018) — 296 citations
- Learning to Detect Good 3D Keypoints (2017) — 49 citations
- A fast area-based stereo matching algorithm (2004) — 344 citations