Benjamin Kuipers
Computer Vision and Pattern Recognition · 1995–2011
A researcher in the Science corpus: 6 papers; trusts 258 researchers and is trusted by 326 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #2,392 of 21,575 by trust here, #5,205 by citations
- Artificial Intelligence — 21 citations into it; #3,058 of 35,345 by trust here, #7,010 by citations
- Biomedical Engineering — 13 citations into it
- Reinforcement Learning — 11 citations into it; #818 of 2,242 by trust here, #1,663 by citations
- Representation & Self-Supervised Learning — 8 citations into it; #1,610 of 3,145 by trust here, #1,982 by citations
- Control and Systems Engineering — 5 citations into it; #483 of 8,257 by trust here, #2,295 by citations
- Human-Computer Interaction — 5 citations into it; #662 of 2,253 by trust here, #714 by citations
- Natural Language Processing — 5 citations into it; #1,640 of 5,688 by trust here, #1,955 by citations
Whom Benjamin Kuipers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nils J. Nilsson
- David Pierce
- Ramkant Nevatia
- Richard S. Sutton
- Pedro F. Felzenszwalb
- Geoffrey E. Hinton
- Ivan Laptev
- Longxin Lin
- Andrew Barto
- Yoshua Bengio
Who trusts Benjamin Kuipers overall
- Byron Boots
- Dieter Fox
- Geert-Jan M. Kruijff
- Andrea Censi
- Juan D. Tardós
- Saurabh Gupta
- Matthew R. Walter
- Daniel R. Montello
- Paul M. Newman
- Hendrik Zender
Papers from Benjamin Kuipers's perspective
Ordered by how strongly the researchers Benjamin Kuipers 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)
- 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
- Recognizing human actions by attributes (2011) — 630 citations
- Cross-view action recognition via view knowledge transfer (2011) — 289 citations
- The Spatial Semantic Hierarchy (2000) — 892 citations
- From pixels to policies: A bootstrapping agent (2008) — 27 citations
- Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions (2006) — 431 citations
- Map Learning with Uninterpreted Sensors and Effectors (1995)