Luca Ciampi
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 487 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 118 citations into it; #13,686 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 47 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
- Media Technology — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it; #2,701 of 3,145 by trust here, #2,863 by citations
- Building and Construction — 5 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Luca Ciampi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Andrew Zisserman
- Yann LeCun
- Victor S. Lempitsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Luca Ciampi overall
Papers from Luca Ciampi's perspective
Ordered by how strongly the researchers Luca Ciampi 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Domain Adaptation for Traffic Density Estimation (2021) — 31 citations
- A Wireless Smart Camera Network for Parking Monitoring (2018) — 25 citations
- Unsupervised vehicle counting via multiple camera domain adaptation (2020) — 10 citations
- Virtual to Real Adaptation of Pedestrian Detectors (2020) — 38 citations
- Learning Pedestrian Detection from Virtual Worlds (2019) — 29 citations
- Counting Vehicles with Deep Learning in Onboard UAV Imagery (2019) — 47 citations
- Counting Vehicles with Cameras (2018) — 23 citations