David Hsu
Artificial Intelligence · Int. J. Robotics Res. · 2002–2023
A researcher in the Science corpus: 12 papers; trusts 529 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 97 citations into it; #7,302 of 35,345 by trust here, #10,667 by citations
- Computer Vision and Pattern Recognition — 93 citations into it; #4,974 of 21,575 by trust here, #4,887 by citations
- Reinforcement Learning — 64 citations into it; #1,386 of 2,242 by trust here, #1,663 by citations
- Aerospace Engineering — 36 citations into it; #2,540 of 6,421 by trust here, #1,890 by citations
- Robotics & Control — 27 citations into it; #472 of 609 by trust here, #467 by citations
- Control and Systems Engineering — 25 citations into it; #2,440 of 8,257 by trust here, #1,545 by citations
- Natural Language Processing — 20 citations into it
- Computer Networks and Communications — 13 citations into it; #2,676 of 9,886 by trust here, #3,753 by citations
Whom David Hsu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Trey Smith
- Sebastian Thrun
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Andrew Y. Ng
- Ilya Sutskever
Who trusts David Hsu overall
- Jur van den Berg
- Sertac Karaman
- Emilio Frazzoli
- Mitul Saha
- Annie Xie
- Ioan Alexandru Sucan
- Mohit Shridhar
- Owen Macindoe
- Yanbo Li
- Shervin Javdani
Papers from David Hsu's perspective
Ordered by how strongly the researchers David Hsu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces (2008) — 1,050 citations
- Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation (2021) — 70 citations
- Learning Dynamic Robot-to-Human Object Handover from Human Feedback (2016) — 92 citations
- Intention-aware online POMDP planning for autonomous driving in a crowd (2015) — 348 citations
- DESPOT: Online POMDP Planning with Regularization (2013) — 558 citations
- Planning under Uncertainty for Robotic Tasks with Mixed Observability (2010) — 299 citations
- Large Language Models as Commonsense Knowledge for Large-Scale Task Planning (2023) — 397 citations
- Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction (2018) — 161 citations
- OpenComet: An automated tool for comet assay image analysis (2014) — 669 citations
- On the Probabilistic Foundations of Probabilistic Roadmap Planning (2006) — 306 citations
- The bridge test for sampling narrow passages with probabilistic roadmap planners (2003) — 429 citations
- Randomized Kinodynamic Motion Planning with Moving Obstacles (2002) — 878 citations