My research interests are in computer vision and machine perception, more specifically these topics:
- 3D vision and fusion for robotics
- Reconstruction from depth sensors
- 3D representations of scenes
- Structured image and scene understading
- Probabilistic and graphical models
- Stochastic inference methods
I am currently involved in the vision and integration parts of a robotics project TrimBot, which is coordinated by Prof. Robert B. Fisher.
You can see my bio and publications at
Edinburgh Research Explorer.
Some more details can be found at the previous webpage about
my PhD research.
- Jan 2019 - TrimBot project video about the integrated 3D pipeline was released.
- Oct 2018 - We were organizing the second 3D Reconstruction meets Semantics Workshop at ECCV 2018 with Torsten Sattler, Thomas Brox, Marc Pollefeys, Theo Gevers and Bob Fisher.
- Aug 2018 - We got paper accepted to 3DV 2018 with Can Pu and Bob Fisher about point cloud registration.
- Jul 2018 - We got paper accepted to IROS 2018 with Hanz Cuevas, Nanbo Li, Marcelo Saval and Bob Fisher about hybrid visual servoing.
- Jul 2018 - The 3D semantic reconstruction challenge and garden datasets we created with Hoang-An Le were released.
- Jun 2018 - Our paper on 3D semantic annotation with Bob Fisher was published in Sensors journal.
- Jan 2018 - I was presenting the Trimbot project at APPIS conference.
- Nov 2017 - We were organizing the first 3D Reconstruction meets Semantics workshop and challenge at ICCV 2017.
- Oct 2017 - I presented our paper on best view tracking at 3DV 2017.
- Sep 2017 - We had a successful autonomous garden navigation demo of TrimBot project with the first prototype developed with ETHZ and Bosch.
- May 2016 - I started working on TrimBot project.
+44 7561 899 409
School of Informatics
University of Edinburgh
Bayes Centre BC-1.12
Edinburgh EH8 9BT
How to reach me:
Enter Bayes Centre (new wing next to Informatics Forum) through reception.
Get to the first floor and circle the corridor either way until you reach door 1.11, my desk is to the left of it by the window.