James L. Crowley
Computer Vision and Pattern Recognition · 2005–2014
A researcher in the Science corpus: 5 papers; trusts 109 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it; #11,337 of 21,575 by trust here, #10,905 by citations
- Aerospace Engineering — 6 citations into it
- Artificial Intelligence — 6 citations into it; #30,211 of 35,345 by trust here, #34,213 by citations
Whom James L. Crowley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Scharstein
- Ivan Laptev
- Thomas Brox
- Frédéric Huguet
- Simon Baker
- Tali Basha
- Chih-Jen Lin
- Frederic Devernay
- Richard Szeliski
- Christoph Vogel
Who trusts James L. Crowley overall
Papers from James L. Crowley's perspective
Ordered by how strongly the researchers James L. Crowley 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Dense Semi-rigid Scene Flow Estimation from RGBD Images (2014) — 128 citations
- Learning Situation Models in a Smart Home (2009) — 186 citations
- Detecting Human Behavior Models From Multimodal Observation in a Smart Home (2009) — 140 citations
- Scene flow by tracking in intensity and depth data (2012) — 32 citations
- Context is key (2005) — 584 citations