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members:wangr [2018/09/03 01:21]
Rui Wang |
members:wangr [2019/07/10 16:10]
Rui Wang |
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| ==== News ==== | ==== News ==== |
| * Jul 05 2018: We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18. | * [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. |
| * Jun - Dec 2018: I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. | * [07.2018] We have one paper accepted by ECCV'18 (oral) and two papers accepted by IROS'18. |
| * May 22 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. | * [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://vision.in.tum.de/research/vslam/photometric-calibration|project page]]. The paper was recently nominated by ICRA'18 for the Best Vision Paper Award. |
| * Mar 2018: I join [[https://www.artisense.ai/|Artisense]], a startup co-founded by Prof. Daniel Cremers, as a PhD student and senior computer vision & AI researcher. | * [03.2018] I join [[https://www.artisense.ai/|Artisense]], a startup co-founded by Prof. Daniel Cremers, as a PhD Student and Senior Computer Vision & AI Researcher. |
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| Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]], | Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]], |
| [[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]]. | [[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]], [[https://www.strava.com/athletes/22551758|Strava]]. |
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| ==== Research Interests ==== | ==== Research Interests ==== |
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| === Visual Odometry / SLAM === | === Semantic VO / SLAM === |
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| | * ** 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 paper [[https://arxiv.org/abs/1904.10097|arXiv]]. (The project page is under construction.) |
| | <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html> |
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| | === Classic VO / SLAM === |
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| * ** Stereo DSO ** This video shows some results of our paper "Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras" accepted by ICCV 2017. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) | * ** Stereo DSO ** This video shows some results of our paper "Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras" accepted by ICCV 2017. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) |
| * ** SLAM extension to Stereo DSO ** After the ICCV 2017 deadline, we extended our method to a SLAM system with additional components for map maintenance, loop detection and loop closure. Our performance on KITTI is further boosted a little, as shown by the plots in the video. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) | * ** SLAM extension to Stereo DSO ** After the ICCV 2017 deadline, we extended our method to a SLAM system with additional components for map maintenance, loop detection and loop closure. Our performance on KITTI is further boosted a little, as shown by the plots in the video. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) |
| <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/BxTLhubqEKg" frameborder="0" allowfullscreen></iframe></center></html> | <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/BxTLhubqEKg" frameborder="0" allowfullscreen></iframe></center></html> |
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| | * ** LDSO: Direct Sparse Odometry with Loop Closure ** In this project we integrate feature points into DSO to improve the repeatability of the sampled points, enabling loop closure candidate detection using BoW and loop closure based on pose graph optimization. For more details and access to the code, please visit the [[https://vision.in.tum.de/research/vslam/ldso|Project Page]]. |
| | <html><center><iframe width="640" height="360" |
| | src="https://www.youtube.com/embed/LEvOSzyZUvc" frameborder="0" allowfullscreen></iframe> |
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| * Summer Semester 2017 [[teaching:ss2017:mvg2017|Computer Vision II: Multiple View Geometry (IN2228)]] <html><span style="color:black;">Best Elective Lecture Award</span></html> | * Summer Semester 2017 [[teaching:ss2017:mvg2017|Computer Vision II: Multiple View Geometry (IN2228)]] <html><span style="color:black;">Best Elective Lecture Award</span></html> |
| * Winter Semester 2017/18 [[teaching:ws2017:r3dv|Robotic 3D Vision]] | * Winter Semester 2017/18 [[teaching:ws2017:r3dv|Robotic 3D Vision]] |
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| | ==== Service ==== |
| | Reviewer: CVPR, ICCV, ICRA, IROS, RA-L |
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| ==== Publications ==== | ==== Publications ==== |
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