Ryad Benosman
Electrical and Electronic Engineering · 2009–2025
A researcher in the Science corpus: 7 papers; trusts 94 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 69 citations into it; #1,657 of 16,539 by trust here, #5,738 by citations
- Computer Vision and Pattern Recognition — 45 citations into it; #7,721 of 21,575 by trust here, #9,187 by citations
- Cellular and Molecular Neuroscience — 41 citations into it
- Cognitive Neuroscience — 36 citations into it; #10,473 of 10,852 by trust here, #7,600 by citations
- Artificial Intelligence — 28 citations into it
- Aerospace Engineering — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Ryad Benosman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christoph Posch
- David G. Lowe
- Jianbo Shi
- Alex Krizhevsky
- Yann LeCun
- Kwabena A. Boahen
- T. Serrano‐Gotarredona
- Garrick Orchard
- Geoffrey E. Hinton
- Yoshua Bengio
Who trusts Ryad Benosman overall
- Henri Rebecq
- Daniel Gehrig
- Alex Zihao Zhu
- Guillermo Gallego
- Davide Scaramuzza
- Patrick Bardow
- René Ranftl
- Till Kroeger
- Michael Pfeiffer
- Liangzhe Yuan
Papers from Ryad Benosman's perspective
Ordered by how strongly the researchers Ryad Benosman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Histograms of oriented gradients for human detection
- Distinctive Image Features from Scale-Invariant Keypoints
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Audio/video fusion for objects recognition (2009) — 15 citations
- Event-Based Visual Flow (2014) — 407 citations
- HFirst: A Temporal Approach to Object Recognition (2015) — 306 citations
- HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification (2018) — 552 citations
- HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition (2017) — 656 citations
- Neuromorphic computing at scale (2025) — 324 citations
- Skimming Digits: Neuromorphic Classification of Spike-Encoded Images (2016) — 56 citations