Bruno Lepri
Computer Vision and Pattern Recognition · 2014–2021
A researcher in the Science corpus: 8 papers; trusts 475 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 129 citations into it
- Artificial Intelligence — 123 citations into it
- Transportation — 62 citations into it
- Sociology and Political Science — 41 citations into it
- Generative Models — 34 citations into it
- Model Architectures — 32 citations into it
- Representation & Self-Supervised Learning — 32 citations into it
- Information Systems — 26 citations into it
Whom Bruno Lepri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jenna Burrell
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Jerry H. Ratcliffe
- Sara Hajian
- Ilya Sutskever
- Karen Simonyan
Who trusts Bruno Lepri overall
Papers from Bruno Lepri's perspective
Ordered by how strongly the researchers Bruno Lepri 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Describe What to Change: A Text-guided Unsupervised Image-to-image Translation Approach (2020) — 62 citations
- Efficient Training of Visual Transformers with Small Datasets (2021) — 229 citations
- Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014) — 319 citations
- Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020) — 620 citations
- A Survey on Deep Learning for Human Mobility (2020) — 324 citations
- Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017) — 622 citations
- The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good (2016) — 99 citations
- A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015) — 562 citations