Fabio Galasso
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 7 papers; trusts 800 researchers and is trusted by 256 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 166 citations into it; #2,432 of 21,575 by trust here, #6,281 by citations
- Artificial Intelligence — 89 citations into it
- Efficiency & Compression — 42 citations into it
- Model Architectures — 26 citations into it
- Media Technology — 11 citations into it
- Signal Processing — 9 citations into it
- Automotive Engineering — 8 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Fabio Galasso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jitendra Malik
- Thomas Brox
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Pablo Arbeláez
- Yoshua Bengio
- Jianbo Shi
- Yann LeCun
- Ross B. Girshick
Who trusts Fabio Galasso overall
- Anna Khoreva
- Suyog Dutt Jain
- Jordi Pont-Tuset
- Margret Keuper
- Bernt Schiele
- Apratim Bhattacharyya
- Jingchun Cheng
- Zhengyang Wu
- Katerina Fragkiadaki
- Kristen Grauman
Papers from Fabio Galasso's perspective
Ordered by how strongly the researchers Fabio Galasso 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis (2013) — 175 citations
- Video Segmentation with Superpixels (2012) — 117 citations
- Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation (2014) — 86 citations
- Adversarial Network Compression (2018) — 61 citations
- Transformer Networks for Trajectory Forecasting (2020) — 533 citations
- Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering (2014) — 26 citations
- Knowledge Distillation for End-to-End Person Search (2019) — 18 citations