3DNN: 3D Nearest Neighbor

By Scott Satkin, Maheen Rashid, Jason Lin, Martial Hebert. 2014

23 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. Jitendra Malik
2. Saurabh Gupta
3. Ross B. Girshick
4. Pablo Arbeláez
5. Shubham Tulsiani
6. Abhinav Kumar Gupta
7. João Carreira
8. Abhishek Kar

In Computer Vision and Pattern Recognition

1. Jitendra Malik
2. Luc Van Gool
3. Ming-Hsuan Yang
4. Trevor Darrell
5. Andrea Vedaldi
6. Xiaogang Wang
7. Abhinav Kumar Gupta
8. Li Fei-Fei

Citations in the corpus

• Category-specific object reconstruction from a single image (2014, methodology): “Polyhedral models [18, 40], which trace back to the early work of Roberts [29], and CAD models [25, 31] provide crude approximations of shape and given a set of point correspondences can be quite effective for determining instance viewpoints.”
• Learning Category-Specific Deformable 3D Models for Object Reconstruction (2017, background): “Index Terms—Object reconstruction, 3D shape modeling, viewpoint estimation, scene understanding Ç”
• Aligning 3D models to RGB-D images of cluttered scenes (2015, background): “There is a lot of research on 3D scene understanding from a single RGB image [15, 29], and 3D object analysis [2, 16, 23, 30, 41].”
• IM2CAD (2016, methodology): “The closest works to ours are [37] and [25] which find from (Row1) [22] and (Row2) [15].”
• Inferring 3D Object Pose in RGB-D Images (2015, background): “There has been a lot of research on 3D scene understanding from a single RGB image [15, 28], and 3D object analysis [22, 2, 16, 39, 29].”