The three R's of computer vision: Recognition, reconstruction and reorganization

By Jitendra Malik, Pablo Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani. 2016

52 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Ming-Hsuan Yang
4. Dacheng Tao
5. Trevor Darrell
6. Xiaogang Wang
7. Vladlen Koltun
8. Abhinav Kumar Gupta

Citations in the corpus

• Taskonomy: Disentangling Task Transfer Learning (2018, methodology): “Multi-task learning has experienced recent progress and the reported advantages are another support for existence of a useful structure among tasks [93, 100, 50, 76, 73, 50, 18, 97, 61, 11, 66].”
• Playing for Benchmarks (2017, background): “Researchers have argued that diverse computer vision tasks should be tackled in concert [39] and developed models that could support this [6, 33, 43].”
• GroupViT: Semantic Segmentation Emerges from Text Supervision (2022, background): “The relationship between grouping and recognition has been studied extensively in visual understanding even before the deep learning era [52,53].”