John G. Allen

Pan-Sydney Area Workshop on Visual Information Processing · 2004

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom John G. Allen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dorin Comaniciu
2. Gary R. Bradski
3. Peter Meer
4. Visvanathan Ramesh

Papers from John G. Allen's perspective

Ordered by how strongly the researchers John G. Allen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Robust analysis of feature spaces: color image segmentation
2. Kernel-Based Object Tracking
3. Computer Vision Face Tracking For Use in a Perceptual User Interface
4. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
5. New extension of the Kalman filter to nonlinear systems
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Caffe: Convolutional Architecture for Fast Feature Embedding
9. Spatial Transformer Networks
10. FlowNet: Learning Optical Flow with Convolutional Networks

Their papers

• Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces (2004) — 316 citations