Lukas Koestler

机构：Munich Center for Machine Learning, Technical University of Munich

发表论文 17 篇 · 总被引 184 次 · h-index 7

代表论文

• E-NeRF: Neural Radiance Fields From a Moving Event Camera (2023 · IEEE Robotics and Automation Letters · 被引 76)
• Deep Event Visual Odometry (2024 · 被引 33)
• TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view\n Stereo (2021 · arXiv (Cornell University) · 被引 18)
• Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (2024 · 被引 17)
• The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions (2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 被引 13)
• Intrinsic Neural Fields: Learning Functions on Manifolds (2022 · Lecture notes in computer science · 被引 11)