Peter Corke

Computer Vision and Pattern Recognition · 1993–2019

A researcher in the Science corpus: 25 papers; trusts 668 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 289 citations into it; #4,779 of 21,575 by trust here, #3,633 by citations
• Artificial Intelligence — 171 citations into it; #22,272 of 35,345 by trust here, #9,465 by citations
• Aerospace Engineering — 128 citations into it; #910 of 6,421 by trust here, #865 by citations
• Control and Systems Engineering — 96 citations into it; #852 of 8,257 by trust here, #585 by citations
• Reinforcement Learning — 59 citations into it
• Biomedical Engineering — 38 citations into it; #4,039 of 10,734 by trust here, #7,109 by citations
• Robotics & Control — 38 citations into it; #515 of 609 by trust here, #395 by citations
• Representation & Self-Supervised Learning — 36 citations into it

Whom Peter Corke trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Ross B. Girshick
7. Diederik P. Kingma
8. Andrew J. Davison
9. Andrew Zisserman
10. Ilya Sutskever

Who trusts Peter Corke overall

1. Lei Tai
2. Ezio Malis
3. François Chaumette
4. Michael W. Spratling
5. Roberto Cipolla
6. Moses Bangura
7. Haoshu Fang
8. Carmel Majidi
9. Max Jaderberg
10. Seth A. Hutchinson

Papers from Peter Corke's perspective

Ordered by how strongly the researchers Peter Corke trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control (2015) — 289 citations
• Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge (2017) — 147 citations
• Visual Place Recognition: A Survey (2016) — 1,147 citations
• The limits and potentials of deep learning for robotics (2018) — 566 citations
• Place categorization and semantic mapping on a mobile robot (2015) — 144 citations
• Using text-spotting to query the world (2010) — 47 citations
• High-fidelity simulation for evaluating robotic vision performance (2016) — 22 citations
• Vision-Based Reaching Using Modular Deep Networks: from Simulation to the Real World (2016) — 18 citations
• Probabilistic Object Detection: Definition and Evaluation (2018) — 128 citations
• Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach (2018) — 649 citations
• Environmental Wireless Sensor Networks (2010) — 530 citations
• Learning robust, real-time, reactive robotic grasping (2019) — 474 citations
• Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks (2017) — 38 citations
• Episode-Based Active Learning with Bayesian Neural Networks (2017) — 10 citations
• Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies (2016) — 42 citations
• The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research (2016) — 83 citations
• Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor (2012) — 1,541 citations
• Robotics, Vision and Control - Fundamental Algorithms in MATLAB® (2011) — 820 citations
• Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing (2009) — 317 citations
• An Introduction to Inertial and Visual Sensing (2007) — 322 citations