Recurrent convolutional neural networks for object-class segmentation of RGB-D video
By Mircea Serban Pavel, Hannes Schulz, Sven Behnke. 2015
23 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
- Philip H. S. Torr
- Bernardino Romera-Paredes
- Bernt Schiele
- Mohammad Rostami
- Zeynep Akata
- Fei Sha
- Mohamed Elhoseiny
- Wei-Lun Chao
In Computer Vision and Pattern Recognition
- Philip H. S. Torr
- Luc Van Gool
- Bernt Schiele
- Bernardino Romera-Paredes
- Trevor Darrell
- Raquel Urtasun
- Ming-Hsuan Yang
- Dacheng Tao
Citations in the corpus
- Recurrent Instance Segmentation (2015, background): “In [28], the authors present several recurrent structures to track and segment objects in videos.”