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Matthias Müller
Matthias Müller
Senior Researcher, Apple
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
A benchmark and simulator for uav tracking
M Müller, N Smith, B Ghanem
European conference on computer vision, 445-461, 2016
17682016
DeepGCNs: Can GCNs Go as Deep as CNNs?
G Li, M Müller, A Thabet, B Ghanem
International Conference on Computer Vision (ICCV), 2019
13922019
End-to-end driving via conditional imitation learning
F Codevilla, M Müller, A López, V Koltun, A Dosovitskiy
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
11872018
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
M Müller, A Bibi, S Giancola, S Al-Subaihi, B Ghanem
European conference on computer vision, 2018
9092018
Context-aware correlation filter tracking
M Müller, N Smith, B Ghanem
Proc. of the IEEE Conference on Computer Vision and Pattern Recognition …, 2017
7342017
Driving Policy Transfer via Modularity and Abstraction
M Müller, A Dosovitskiy, B Ghanem, V Koltun
Conference on Robotic Learning (CoRL), 2018
2492018
Training Graph Neural Networks with 1000 Layers
G Li, M Müller, B Ghanem, V Koltun
International Conference on Machine Learning (ICML), 2021
2302021
Sgas: Sequential greedy architecture search
G Li, G Qian, IC Delgadillo, M Muller, A Thabet, B Ghanem
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2292020
Sim4CV: A photo-realistic simulator for computer vision applications
M Müller, V Casser, J Lahoud, N Smith, B Ghanem
International Journal of Computer Vision, 1-18, 2018
227*2018
Learning high-speed flight in the wild
A Loquercio, E Kaufmann, R Ranftl, M Müller, V Koltun, D Scaramuzza
Science Robotics 6 (59), eabg5810, 2021
2212021
Target response adaptation for correlation filter tracking
A Bibi, M Müller, B Ghanem
European conference on computer vision, 419-433, 2016
1912016
Deepgcns: Making gcns go as deep as cnns
G Li, M Müller, G Qian, IC Delgadillo, A Abualshour, A Thabet, B Ghanem
IEEE transactions on pattern analysis and machine intelligence 45 (6), 6923-6939, 2021
1812021
Champion-level drone racing using deep reinforcement learning
E Kaufmann, L Bauersfeld, A Loquercio, M Müller, V Koltun, ...
Nature 620 (7976), 982-987, 2023
1692023
Zoedepth: Zero-shot transfer by combining relative and metric depth
SF Bhat, R Birkl, D Wofk, P Wonka, M Müller
arXiv preprint arXiv:2302.12288, 2023
1612023
Deep drone acrobatics
E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza
Robotics: Science and Systems (RSS), 2020
1532020
Persistent aerial tracking system for UAVs
M Müller, G Sharma, N Smith, B Ghanem
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
652016
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning
Y Song, A Romero, M Müller, V Koltun, D Scaramuzza
Science Robotics 8 (82), eadg1462, 2023
492023
OIL: Observational Imitation Learning
G Li, M Müller, V Casser, N Smith, DL Michels, B Ghanem
Robotics: Science and Systems (RSS), 2018
48*2018
Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation
M Müller, V Casser, N Smith, DL Michels, B Ghanem
European conference on computer vision workshops, UAVision2018, 2017
39*2017
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation
R Birkl, D Wofk, M Müller
arXiv preprint arXiv:2307.14460, 2023
372023
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