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members:wangr [2019/08/23 17:24] Rui Wang |
members:wangr [2019/10/09 09:40] Rui Wang |
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* [06-12.2018] I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. | * [06-12.2018] I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. | ||
* [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https:// | * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https:// | ||
- | * [03.2018] I join [[https:// | ||
==== Brief Bio ==== | ==== Brief Bio ==== | ||
I received my Bachelor' | I received my Bachelor' | ||
- | From 2014 to 2016 I worked as a computer vision algorithm developer for advanced driver assistance systems (ADAS) at Continental. Since March 2016 I am a PhD student in the Computer Vision Group at the Technical University of Munich, headed by Professor | + | From 2014 to 2016 I worked as a computer vision algorithm developer for advanced driver assistance systems (ADAS) at Continental. Since March 2016 I am a PhD student in the Computer Vision Group at the Technical University of Munich, headed by Professor Daniel Cremers. In 2018 I joined [[https:// |
Find me on [[https:// | Find me on [[https:// | ||
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=== Deep Learning Boosted VO / SLAM === | === Deep Learning Boosted VO / SLAM === | ||
- | * ** Deep Virtual Stereo Odometry (DVSO) ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[: | + | * ** Deep Virtual Stereo Odometry (DVSO) ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[https:// |
< | < | ||
src=" | src=" | ||
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==== Service ==== | ==== Service ==== | ||
- | Conference reviewer: CVPR, ICCV, ICRA, IROS | + | * Conference reviewer: CVPR, ICCV, ICRA, IROS |
- | Journal reviewer: RA-L, T-RO | + | |
==== Publications ==== | ==== Publications ==== |