Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
members:wangr [2020/01/23 18:08] Rui Wang |
members:wangr [2020/02/25 22:25] Rui Wang |
| |
==== News ==== | ==== News ==== |
* [01.2020] DirectShape has been accepted by ICRA 2020. | * [02.2020] D3VO is accepted by CVPR 2020. Stay tuned. |
* [05.2019] We propose DirectShape, an optimization pipeline that estimates the 3D poses and shapes of cars directly from a stereo image pair, no 3D points are needed. Please visit the [[https://vision.in.tum.de/research/vslam/direct-shape|project page]] for details. | * [01.2020] DirectShape has been accepted by ICRA 2020. It is an optimization pipeline that estimates the 3D poses and shapes of cars directly from a stereo image pair, no 3D points are needed. ([[https://vision.in.tum.de/research/vslam/direct-shape|project page]]) |
* [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! Please visit the [[https://vision.in.tum.de/research/vslam/ldso|project page]] for details. | * [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! ([[https://vision.in.tum.de/research/vslam/ldso|project page]]). |
* [07.2018] We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18. | * [07.2018] We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18. |
* [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 Nvidia Robotics Research Lab in Seattle. |
* [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https://vision.in.tum.de/research/vslam/photometric-calibration|project page]]. The paper was recently nominated by ICRA'18 for the Best Vision Paper Award. | * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https://vision.in.tum.de/research/vslam/photometric-calibration|project page]]. The paper was recently nominated by ICRA'18 for the Best Vision Paper Award. |
| |
=== Semantic VO / SLAM === | === Semantic VO / SLAM === |
| |
* ** Direct Shape ** This video shows the basic idea and some results of our paper "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation". In this work, we estimate the 3D poses and shapes of cars based on a single stereo image pair. ** Note that the point clouds in the video are only for visualization purpose, they are not used in our method. ** For more details please refer to the [[https://vision.in.tum.de/research/vslam/direct-shape|project page]] | * ** Direct Shape ** This video shows the basic idea and some results of our paper "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation". In this work, we estimate the 3D poses and shapes of cars based on a single stereo image pair. ** Note that the point clouds in the video are only for visualization purpose, they are not used in our method. ** For more details please refer to the [[https://vision.in.tum.de/research/vslam/direct-shape|Project Page]]. |
<html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html> | <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html> |
<html><br /></html> | <html><br /></html> |