Detection and Localization of Multiple Objects
By Stefan Zickler, Manuela M. Veloso. 2006
45 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
- Pieter Abbeel
- Siddhartha S. Srinivasa
- Sergey Levine
- Rosen Diankov
- Wojciech Zaremba
- Alvaro Collet
- Dmitry Berenson
- D. Ferguson
In Computer Vision and Pattern Recognition
- Pieter Abbeel
- Sergey Levine
- Siddhartha S. Srinivasa
- Jitendra Malik
- Trevor Darrell
- Luc Van Gool
- Dacheng Tao
- Abhinav Kumar Gupta
Citations in the corpus
- Domain randomization for transferring deep neural networks from simulation to the real world (2017, background): “TED WORK A. Object detection and pose estimation for robotics Object detection and pose estimation for robotics is a wellstudied problem in the literature (see, e.g., [4], [5], [6], [10], [44], [50], [54]). Recent approaches typically involve offline construction or learning of a 3D model of objects ”
- Object recognition and full pose registration from a single image for robotic manipulation (2009, background): “Reliable object recognition, pose estimation and tracking are critical tasks in robotic manipulation [6], [7], [8], [9] and augmented reality applications [10], [1].”
- HERB: a home exploring robotic butler (2010, background): “6.1 Related work Reliable object recognition, pose estimation and tracking are critical tasks in robotic manipulation (Taylor and Kleeman 2003; Ekvall et al. 2005; Zickler and Veloso 2006; Mittrapiyanuruk et al. 2004) and augmented reality applications (Vacchetti et al. 2004; Gordon and Lowe 2006).”