Guest Editorial: Scene Understanding

By Derek Hoiem, James Hays, Jianxiong Xiao, Aditya Khosla. 2015

17 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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. Alan L. Yuille

In Geology

1. Stefan Roth
2. Manmohan Chandraker
3. Bernt Schiele

Citations in the corpus

• The Cityscapes Dataset for Semantic Urban Scene Understanding (2016, background): “Visual scene understanding has moved from an elusive goal to a focus of much recent research in computer vision [27].”
• IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments (2018, background): “In particular, the unconstrained nature of the dataset provides a uniquely novel setting for higher-level reasoning problems such as scene understanding [9, 17, 28] and path planning [6].”
• The Cityscapes Dataset (2015, background): “Over the last decade, the problem of scene understanding has increasingly gained attention in the computer vision community [11].”
• The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes (2017, background): “Visual scene understanding [19] belongs to the most fundamental and challenging goals in computer vision.”