David R. Martin
Computer Vision and Pattern Recognition · 2001–2003
A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 6,552 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #303 of 21,575 by trust here, #1,033 by citations
Whom David R. Martin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jitendra Malik
- Jianbo Shi
- Elizaveta Levina
- Serge J. Belongie
- Charless C. Fowlkes
- Peter J. Bickel
- John F. Canny
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
Who trusts David R. Martin overall
- Pablo Arbeláez
- Iasonas Kokkinos
- Jitendra Malik
- Piotr Doll'ar
- Luc Van Gool
- Julien Mairal
- Alan L. Yuille
- Chunhua Shen
- Yoshua Bengio
- Alexei A. Efros
Papers from David R. Martin's perspective
Ordered by how strongly the researchers David R. Martin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics (2001) — 8,885 citations
- Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
- Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches (2003) — 165 citations