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Matthias Müller
Matthias Müller
Lead of the Embodied AI Lab, Intel Labs
在 intel.com 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
A benchmark and simulator for uav tracking
M Müller, N Smith, B Ghanem
European conference on computer vision, 445-461, 2016
10982016
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
7482018
DeepGCNs: Can GCNs Go as Deep as CNNs?
G Li, M Müller, A Thabet, B Ghanem
International Conference on Computer Vision (ICCV), 2019
6712019
Context-aware correlation filter tracking
M Müller, N Smith, B Ghanem
Proc. of the IEEE Conference on Computer Vision and Pattern Recognition …, 2017
6222017
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
4302018
Driving Policy Transfer via Modularity and Abstraction
M Müller, A Dosovitskiy, B Ghanem, V Koltun
Conference on Robotic Learning (CoRL), 2018
1902018
Target response adaptation for correlation filter tracking
A Bibi, M Müller, B Ghanem
European conference on computer vision, 419-433, 2016
1822016
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
159*2018
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
1172020
Deep drone acrobatics
E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza
Robotics: Science and Systems (RSS), 2020
802020
Deepgcns: Making gcns go as deep as cnns
G Li, M Müller, G Qian, ICD Perez, A Abualshour, AK Thabet, B Ghanem
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
582021
Persistent aerial tracking system for UAVs
M Müller, G Sharma, N Smith, B Ghanem
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
562016
Training Graph Neural Networks with 1000 Layers
G Li, M Müller, B Ghanem, V Koltun
International Conference on Machine Learning (ICML), 2021
552021
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
432021
OIL: Observational Imitation Learning
G Li, M Müller, V Casser, N Smith, DL Michels, B Ghanem
Robotics: Science and Systems (RSS), 2018
32*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
29*2017
SADA: semantic adversarial diagnostic attacks for autonomous applications
A Hamdi, M Müller, B Ghanem
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10901 …, 2020
122020
OpenBot: Turning Smartphones into Robots
M Müller, V Koltun
International Conference on Robotics and Automation (ICRA), 2021
82021
Learning a controller fusion network by online trajectory filtering for vision-based uav racing
M Muller, G Li, V Casser, N Smith, DL Michels, B Ghanem
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
82019
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