no code implementations • CVPR 2014 • Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, Steven M. Seitz
The proposed approach outperforms state of the art MVS techniques for challenging Internet datasets, yielding dramatic quality improvements both around object contours and in surface detail.
no code implementations • CVPR 2015 • Supasorn Suwajanakorn, Carlos Hernandez, Steven M. Seitz
While prior depth from focus and defocus techniques operated on laboratory scenes, we introduce the first depth from focus (DfF) method capable of handling images from mobile phones and other hand-held cameras.
no code implementations • CVPR 2015 • Jonathan T. Barron, Andrew Adams, YiChang Shih, Carlos Hernandez
Given a stereo pair it is possible to recover a depth map and use that depth to render a synthetically defocused image.
no code implementations • 10 Jun 2019 • Devon Sigurdson, Vadim Bulitko, Sven Koenig, Carlos Hernandez, William Yeoh
In a multi-agent pathfinding (MAPF) problem, agents need to navigate from their start to their goal locations without colliding into each other.
no code implementations • 18 Oct 2016 • Carlos Hernandez, Mukunda Bharatheesha, Wilson Ko, Hans Gaiser, Jethro Tan, Kanter van Deurzen, Maarten de Vries, Bas Van Mil, Jeff van Egmond, Ruben Burger, Mihai Morariu, Jihong Ju, Xander Gerrmann, Ronald Ensing, Jan Van Frankenhuyzen, Martijn Wisse
This paper describes Team Delft's robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions.
Robotics