Sergio Orts

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 653 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 246 citations into it; #16,913 of 21,575 by trust here, #5,013 by citations
• Artificial Intelligence — 67 citations into it
• Aerospace Engineering — 63 citations into it
• Evaluation & Benchmarks — 41 citations into it
• Computational Mechanics — 35 citations into it
• Model Architectures — 26 citations into it
• Geology — 24 citations into it
• Environmental Engineering — 12 citations into it

Whom Sergio Orts trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Rob Fergus
8. Ilya Sutskever
9. Karen Simonyan
10. Matthew D. Zeiler

Who trusts Sergio Orts overall

1. Umberto Michieli
2. Wenqi Xian
3. Chen Gao
4. Cherry Khosla
5. Abdul Mueed Hafiz
6. Pietro Zanuttigh
7. Swarnendu Ghosh
8. Jia-Bin Huang
9. Jimmy Ming-Thai Wu
10. Matteo Biasetton

Papers from Sergio Orts's perspective

Ordered by how strongly the researchers Sergio Orts 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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

• Fusion4D (2016) — 424 citations
• Holoportation: Virtual 3D Teleportation in Real-time (2016) — 743 citations
• The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions (2018) — 37 citations
• A survey on deep learning techniques for image and video semantic segmentation (2018) — 1,148 citations
• A Review on Deep Learning Techniques Applied to Semantic Segmentation (2017) — 1,387 citations
• A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition (2017) — 19 citations