Stefano Berretti

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it; #5,847 of 21,575 by trust here, #5,941 by citations
• Human-Computer Interaction — 26 citations into it; #1,827 of 2,253 by trust here, #896 by citations
• Artificial Intelligence — 16 citations into it
• Biomedical Engineering — 16 citations into it; #8,375 of 10,734 by trust here, #5,917 by citations
• 3D Vision & Pose — 12 citations into it

Whom Stefano Berretti trusts overall

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

1. Xiaodong Yang
2. Lu Xia
3. Wanqing Li
4. Zicheng Liu
5. Jiang Wang
6. Yingli Tian
7. Jamie Shotton
8. Zhengyou Zhang
9. Jake K. Aggarwal
10. Geoffrey E. Hinton

Who trusts Stefano Berretti overall

1. Liliana Lo Presti
2. Fei Han
3. Raviteja Vemulapalli
4. Adnan Al Alwani
5. Jacopo Cavazza
6. Diogo Carbonera Luvizon
7. Marco La Cascia
8. Chaolong Li
9. Guillermo Garcia-Hernando
10. Iacopo Masi

Papers from Stefano Berretti's perspective

Ordered by how strongly the researchers Stefano Berretti 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses (2013) — 252 citations
• Dictionary Learning Based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose (2015) — 48 citations
• Space-Time Pose Representation for 3D Human Action Recognition (2013) — 72 citations
• Combined shape analysis of human poses and motion units for action segmentation and recognition (2015) — 19 citations
• Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold (2014)