Jur van den Berg
Computer Vision and Pattern Recognition · 2005–2013
A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it; #3,801 of 21,575 by trust here, #5,287 by citations
- Control and Systems Engineering — 18 citations into it
- Aerospace Engineering — 17 citations into it; #380 of 6,421 by trust here, #1,014 by citations
- Artificial Intelligence — 14 citations into it
- Computational Theory and Mathematics — 8 citations into it; #6,630 of 12,182 by trust here, #5,724 by citations
- Reinforcement Learning — 8 citations into it; #1,275 of 2,242 by trust here, #1,344 by citations
- Robotics & Control — 6 citations into it
Whom Jur van den Berg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thierry Fraichard
- Sertac Karaman
- Stéphane Petti
- David Hsu
- Dimitri P. Bertsekas
- James J. Kuffner Jr.
- Steven M. LaValle
- Matthew Zucker
- Emilio Frazzoli
- Victor M. Becerra
Who trusts Jur van den Berg overall
- Pinxin Long
- Yu Fan Chen
- Tingxiang Fan
- Qingbiao Li
- Miao Liu
- Pete Trautman
- Changan Chen
- Ashesh Jain
- Jingjin Yu
- Wenxi Liu
Papers from Jur van den Berg's perspective
Ordered by how strongly the researchers Jur van den Berg trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Reinforcement Learning: An Introduction
Their papers
- LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information (2010) — 480 citations
- Reciprocal Velocity Obstacles for real-time multi-agent navigation (2008) — 1,818 citations
- Reciprocal n-Body Collision Avoidance (2011) — 1,986 citations
- Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations (2010) — 268 citations
- Reciprocal collision avoidance with acceleration-velocity obstacles (2011) — 310 citations
- Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics (2013) — 435 citations
- The Hybrid Reciprocal Velocity Obstacle (2011) — 440 citations
- Prioritized motion planning for multiple robots (2005) — 323 citations