Stéphane Deny
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it
- Artificial Intelligence — 32 citations into it; #19,406 of 35,345 by trust here, #9,369 by citations
- Representation & Self-Supervised Learning — 20 citations into it; #1,980 of 3,145 by trust here, #1,220 by citations
- Cognitive Neuroscience — 13 citations into it
Whom Stéphane Deny trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Xinlei Chen
- Ilya Sutskever
Who trusts Stéphane Deny overall
- Yann LeCun
- Steven C. H. Hoi
- Chenghao Liu
- Quang Pham
- Simone Scardapane
- Valerio Marsocci
- Joost van de Weijer
Papers from Stéphane Deny's perspective
Ordered by how strongly the researchers Stéphane Deny 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (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
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction (2021) — 3,100 citations
- A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo (2018) — 347 citations