Amos Sironi
Computer Vision and Pattern Recognition · 2013–2020
A researcher in the Science corpus: 5 papers; trusts 365 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 109 citations into it; #7,639 of 21,575 by trust here, #6,954 by citations
- Artificial Intelligence — 45 citations into it
- Electrical and Electronic Engineering — 40 citations into it; #9,668 of 16,539 by trust here, #10,154 by citations
- Cognitive Neuroscience — 19 citations into it
- Computational Mechanics — 16 citations into it; #8,918 of 10,001 by trust here, #2,782 by citations
- Representation & Self-Supervised Learning — 16 citations into it
- Cellular and Molecular Neuroscience — 15 citations into it
- Model Architectures — 11 citations into it
Whom Amos Sironi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- David G. Lowe
- Kaiming He
- Piotr Doll'ar
- Yoshua Bengio
- Diederik P. Kingma
- Zhuowen Tu
- Ross B. Girshick
Who trusts Amos Sironi overall
- Henri Rebecq
- Daniel Gehrig
- Michael Pfeiffer
- Mengyang Pu
- Georgios Georgiadis
- Davide Scaramuzza
- Guangliang Cheng
- René Ranftl
- Etienne Perot
- Vladlen Koltun
Papers from Amos Sironi's perspective
Ordered by how strongly the researchers Amos Sironi 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning Separable Filters (2013) — 308 citations
- Projection onto the Manifold of Elongated Structures for Accurate Extraction (2015) — 41 citations
- HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification (2018) — 552 citations
- Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multiscale Centerline Detection
- Learning to Detect Objects with a 1 Megapixel Event Camera (2020) — 351 citations