Brownian descriptor: A rich meta-feature for appearance matching
By Slawomir Bak, Ratnesh Kumar, Francois Bremond. 2014
16 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bernt Schiele
- Mario Fritz
- Seong Joon Oh
- Rodrigo Benenson
- Qianru Sun
- Luc Van Gool
- Trevor Darrell
- Xiaogang Wang
Citations in the corpus
- Faceless Person Recognition: Privacy Implications in Social Media (2016, background): “Like other areas of computer vision, the last years have seen a shift from classifiers based on handcrafted features and metric learning approaches [13, 14, 15, 16, 17, 18, 19] towards methods based on deep learning [20, 21, 22, 23, 24, 25, 26, 27].”
- Person Recognition in Personal Photo Collections (2015, background): “Both settings have seen a recent shift from sophisticated classifiers based on hand-crafted features and metric learning approaches [20, 7, 5, 29, 26, 41, 1], towards methods based on deep learning [37, 36, 43, 33, 27, 38, 21].”
- Person Recognition in Personal Photo Collections (2017, background): “Standard benchmarks include VIPeR [16], CAVIAR [17], CUHK [18], and Caltech Roadside Pedestrians [19], with active line of research that previously focused on devising good hand-crafted features [20], [21], [22], and now focusing more on developing effective convnet architectures [23], [24], [25], [”