Kostas E. Bekris
Computer Vision and Pattern Recognition · 2002–2017
A researcher in the Science corpus: 7 papers; trusts 323 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it
- Artificial Intelligence — 52 citations into it
- Control and Systems Engineering — 35 citations into it; #8,166 of 8,257 by trust here, #2,147 by citations
- Reinforcement Learning — 29 citations into it
- Aerospace Engineering — 28 citations into it
- Electrical and Electronic Engineering — 24 citations into it; #6,381 of 16,539 by trust here, #6,381 by citations
- Computer Networks and Communications — 13 citations into it; #4,823 of 9,886 by trust here, #2,300 by citations
- Biomedical Engineering — 12 citations into it
Whom Kostas E. Bekris trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Jan Peters
- Sebastian Thrun
Who trusts Kostas E. Bekris overall
- Moustafa Youssef
- Bodhi Priyantha
- Kamol Kaemarungsi
- Ashok K. Agrawala
- Jie Yin
- Binghao Li
- Guoqiang Mao
- Anindya Sao Paul
- Mauro Brunato
- Mihail L. Sichitiu
Papers from Kostas E. Bekris's perspective
Ordered by how strongly the researchers Kostas E. Bekris 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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 self-supervised learning system for object detection using physics simulation and multi-view pose estimation (2017) — 118 citations
- Fast Model Identification via Physics Engines for Data-Efficient Policy Search (2017) — 53 citations
- Robotics-Based Location Sensing Using Wireless Ethernet (2002) — 718 citations
- Model Identification via Physics Engines for Improved Policy Search (2017) — 18 citations
- Analysis and Observations From the First Amazon Picking Challenge (2016) — 458 citations
- Asymptotically optimal sampling-based kinodynamic planning (2014) — 308 citations
- Indoor Human Navigation Systems: A Survey (2013) — 322 citations