Jesse S. Jin

Pan-Sydney Area Workshop on Visual Information Processing · with Allen · 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 Jesse S. Jin trusts overall

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

1. Dorin Comaniciu
2. Gary R. Bradski

Papers from Jesse S. Jin's perspective

Ordered by how strongly the researchers Jesse S. Jin trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

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