Scholar
Jonathon Luiten
Google Scholar ID: XpOqG0cAAAAJ
Meta Reality Labs
Citations & Impact
Citations
5,417
H-index
21
i10-index
23
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Three papers accepted at CVPR 2022 (two as Oral presentations): HODOR, Opening up Open World Tracking, FutureDet; HOTA Eval Metrics (IJCV'20); Single Shot Panoptic Seg (IROS'20); Siam R-CNN (CVPR'20); MOTSFusion (RA-L'20/ICRA'20); 4D-GVT (ICRA'20); UnOVOST (WACV'20); MOTS (CVPR'19); Object Mining and Discovery (ICRA'19); PReMVOS (ACCV'18). Challenge Results: 1st Place YouTubeVIS Challenge 2019 on Video Instance Segmentation (ICCV'19); 1st Place DAVIS Challenge 2019 on Unsupervised Video Object Segmentation (CVPR'19); 2nd Place DAVIS Challenge 2019 on Semi-Supervised Video Object Segmentation (CVPR'19); 1st Place YouTubeVOS Challenge 2018 on Video Object Segmentation (ECCV'18); 1st Place DAVIS Challenge 2018 on Video Object Segmentation (CVPR'18).
Research Experience
- Research Visitor at Carnegie Mellon University (Sep 2021 - Mar 2023); Research Visitor at the University of Oxford (2019-2020); PhD Student at RWTH Aachen University (2018-ongoing).
Education
- Research Visitor at Carnegie Mellon University, USA (2021-current), Supervisor: Prof. Deva Ramanan; Research Visitor at the University of Oxford, UK (2019-2020), Supervisor: Prof. Philip Torr; PhD in Computer Science from RWTH Aachen University, Germany (2018-current), Supervisor: Prof. Bastian Leibe; Master of Science (MSc) in Simulation Sciences from RWTH Aachen University, Germany (2016-2018); Bachelor of Engineering (BE) in Engineering Science from the University of Auckland, New Zealand (2013-2016).
Background
- Research interests include dynamic scene understanding, using deep learning for video understanding, multi- and single-object tracking, 3D reconstruction and geometry, video object segmentation, object forecasting, and vision for robotics and self-driving.
Miscellany
- Taught Advanced Computer Vision (Winter 2020/2021), Advanced Machine Learning (Summer 2019), Advanced Computer Vision (Winter 2018/2019). Received Outstanding Reviewer Awards at CVPR 2020 and CVPR 2021.
