Dimitrios Lymberopoulos
Computer Vision and Pattern Recognition · 2010–2019
A researcher in the Science corpus: 8 papers; trusts 139 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 80 citations into it
- Artificial Intelligence — 72 citations into it
- Electrical and Electronic Engineering — 44 citations into it; #7,543 of 16,539 by trust here, #5,458 by citations
- Computer Networks and Communications — 23 citations into it
- Neural Architecture Search & AutoML — 19 citations into it
- Information Systems — 17 citations into it
- Model Architectures — 16 citations into it
- Ocean Engineering — 13 citations into it; #1,582 of 3,193 by trust here, #1,136 by citations
Whom Dimitrios Lymberopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Barret Zoph
- Quoc V. Le
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Moustafa Youssef
- Paramvir Victor Bahl
- Karen Simonyan
- Ross B. Girshick
Who trusts Dimitrios Lymberopoulos overall
- Jiang Xiao
- Zheng Yang
- Chenshu Wu
- Zimu Zhou
- Ali Khalajmehrabadi
- Ramón F. Brena
- Jie Xiong
- Shahid Raza
- Yunhao Liu
Papers from Dimitrios Lymberopoulos's perspective
Ordered by how strongly the researchers Dimitrios Lymberopoulos 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours (2019) — 291 citations
- FM-based indoor localization (2012) — 332 citations
- A first look at traffic on smartphones (2010) — 451 citations
- Diversity in smartphone usage (2010) — 922 citations
- Energy-accuracy trade-off for continuous mobile device location (2010) — 320 citations
- A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned (2015) — 378 citations
- Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization (2019) — 37 citations
- Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017) — 63 citations