Douglas Morrison
Control and Systems Engineering · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 183 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 48 citations into it; #4,029 of 8,257 by trust here, #3,682 by citations
- Computer Vision and Pattern Recognition — 35 citations into it
- Biomedical Engineering — 24 citations into it; #4,037 of 10,734 by trust here, #7,109 by citations
- Artificial Intelligence — 15 citations into it
- Robotics & Control — 15 citations into it
- Aerospace Engineering — 12 citations into it
- Mechanical Engineering — 10 citations into it
- Human-Computer Interaction — 7 citations into it; #973 of 2,253 by trust here, #1,161 by citations
Whom Douglas Morrison trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Jeffrey Mahler
- Ashutosh Saxena
- Sergey Levine
- Lerrel Pinto
- Joseph Redmon
- Danica Kragic
- Antonio Bicchi
Who trusts Douglas Morrison overall
- Haoshu Fang
- Andy Zeng
- Chenxi Wang
- Jeffrey Mahler
- Guoguang Du
- Andrew Hundt
- Peter Corke
- Minghao Gou
- Shuran Song
- Jürgen Leitner
Papers from Douglas Morrison's perspective
Ordered by how strongly the researchers Douglas Morrison 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
- 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
- Going deeper with convolutions
Their papers
- Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge (2017) — 147 citations
- Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach (2018) — 649 citations
- Learning robust, real-time, reactive robotic grasping (2019) — 474 citations