Nonparametric semantic segmentation for 3D street scenes

By Hu He, Ben Upcroft. 2013

46 citations recorded by the source corpus.

Subfields: Aerospace Engineering, 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 Aerospace Engineering

1. Stefan Roth
2. Uwe Franke
3. Markus Enzweiler
4. Kai Vetter
5. Mohamed Omran
6. Antonios Gasteratos
7. Ioannis Kostavelis
8. Rodrigo Benenson

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Bernt Schiele
3. Trevor Darrell
4. Xiaogang Wang
5. Ming-Hsuan Yang
6. Dacheng Tao
7. Jitendra Malik
8. Chunhua Shen

Citations in the corpus

• The Cityscapes Dataset for Semantic Urban Scene Understanding (2016, background): “As no official pixel-wise annotations exist for KITTI, several independent groups have annotated approximately 700 frames [22, 29, 32, 33, 58, 64, 77, 80].”
• Semantic mapping for mobile robotics tasks: A survey (2015, background): “Another outdoors scenario [95] make use of stereo image pairs to produce dense depth maps.”
• Sensor fusion for semantic segmentation of urban scenes (2015, methodology): “The method is extended to integrate information across multiple modalities by Munoz et al. [20], where classifications are passed to the subsequent level of the hierarchy in both modalities.”