Liliana Lo Presti
Computer Vision and Pattern Recognition · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 584 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 109 citations into it; #8,555 of 21,575 by trust here, #10,500 by citations
- Artificial Intelligence — 36 citations into it; #14,829 of 35,345 by trust here, #16,771 by citations
- Human-Computer Interaction — 36 citations into it; #626 of 2,253 by trust here, #664 by citations
- Biomedical Engineering — 34 citations into it
- 3D Vision & Pose — 20 citations into it; #323 of 689 by trust here, #451 by citations
- Control and Systems Engineering — 11 citations into it
- Signal Processing — 6 citations into it; #7,392 of 7,572 by trust here, #6,836 by citations
Whom Liliana Lo Presti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pedro F. Felzenszwalb
- Lu Xia
- Geoffrey E. Hinton
- Alex Krizhevsky
- Zicheng Liu
- Omar Oreifej
- Kaiming He
- Navneet Dalal
- Yoshua Bengio
- Deva Ramanan
Who trusts Liliana Lo Presti overall
- Jun Liu
- Zehua Sun
- Bingyi Zhang
- Jacopo Cavazza
- Pichao Wang
- G. Wang
- Xikang Zhang
- Amir Shahroudy
- Pengfei Zhang
- Marco La Cascia
Papers from Liliana Lo Presti's perspective
Ordered by how strongly the researchers Liliana Lo Presti 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- 3D skeleton-based human action classification: A survey (2016) — 414 citations
- Gesture Modeling by Hanklet-Based Hidden Markov Model (2014) — 47 citations