Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
By Christian Wojek, Gyuri Dorkó, André Schulz, Bernt Schiele. 2008
136 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bernt Schiele
- Luc Van Gool
- Rodrigo Benenson
- Xiaogang Wang
- Konrad Schindler
- Serge J. Belongie
- Piotr Doll'ar
- Trevor Darrell
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Bernt Schiele
- Xiaogang Wang
- Jitendra Malik
- Ming-Hsuan Yang
- Dacheng Tao
- Trevor Darrell
- Andrew Zisserman
Citations in the corpus
- Learning Non-maximum Suppression (2017, neutral): “Several other clustering algorithms have been explored for the task of NMS without showing consistent gains: mean-shift clustering [6, 35], agglomerative clustering [2], affinity propagation clustering [17], and heuristic variants [25].”
- Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera (2011, unknown): “detector, real-time GPU implementations exist [37], [44].”
- Survey of Pedestrian Detection for Advanced Driver Assistance Systems (2010, background): “[34] try shed some light on the comparison of classifiers with a study on some popular features and learning methods.”
- The Fastest Pedestrian Detector in the West (2010, background): “Finally, a number of groups have recently ported HOG to a parallel implementation using GPUs [4] [32] [34]; such efforts are complementary to our own.”
- Fast Feature Pyramids for Object Detection (2014, methodology): “Alternatively, parallel implementation using GPUs [60], [61], [62] can achieve fast detection while using rich representations but at the cost of added complexity and hardware requirements.”
- Object Detection and Tracking for Autonomous Navigation in Dynamic Environments (2010, background): “However, recently a parallel HOG-implementation on the GPU has been presented (Wojek et al. 2008).”
- Robust Multiperson Tracking from a Mobile Platform (2009, background): “implementations exist [56], which have the potential to”
- A Convnet for Non-maximum Suppression (2015, methodology): “The parameter range (number of layers, number of units per layer) is inspired by AlexNet (Krizhevsky et al., 2012) and VGG (Simonyan & Zisserman, 2015).”
- Robust tracking-by-detection using a detector confidence particle filter (2009, background): “3Note that the HOG detector can be implemented in real-time [25].”