Matthias Müller

61 papers A* 15A 1Misc 1Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Rapid Salient Object Detection With Difference Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Zhuo Su, Li Liu, Matthias Müller, Jiehua Zhang, Diana Wofk, Ming-Ming Cheng, Matti Pietikäinen
2025	J	`jnl`	Rapid Salient Object Detection with Difference Convolutional Neural Networks. CoRR Zhuo Su, Li Liu, Matthias Müller, Jiehua Zhang, Diana Wofk, Ming-Ming Cheng, Matti Pietikäinen
2024	—	`conf`	EVP: Enhanced Visual Perception Using Inverse Multi-attentive Feature Refinement and Regularized Image-Text Alignment. ECCV Workshops (1) Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Müller, Peter Wonka
2024	A*	`conf`	Evaluation of Test-Time Adaptation Under Computational Time Constraints. ICML Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan Camilo Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem
2024	A*	`conf`	GIM: Learning Generalizable Image Matcher From Internet Videos. ICLR Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang
2024	J	`jnl`	GIM: Learning Generalizable Image Matcher From Internet Videos. CoRR Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang
2024	A*	`conf`	Label Delay in Online Continual Learning. NeurIPS Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser Nam Lim, Philip Torr, Adel Bibi
2024	A*	`conf`	LiSA: LiDAR Localization with Semantic Awareness. CVPR Bochun Yang, Zijun Li, Wen Li, Zhipeng Cai, Chenglu Wen, Yu Zang, Matthias Müller, Cheng Wang
2024	—	`conf`	Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. ECCV (9) Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner
2024	J	`jnl`	Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. CoRR Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner
2024	A*	`conf`	OpenBot-Fleet: A System for Collective Learning with Real Robots. ICRA Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
2024	J	`jnl`	OpenBot-Fleet: A System for Collective Learning with Real Robots. CoRR Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
2024	J	`jnl`	RoMeO: Robust Metric Visual Odometry. CoRR Junda Cheng, Zhipeng Cai, Zhaoxing Zhang, Wei Yin, Matthias Müller, Michael Paulitsch, Xin Yang
2023	J	`jnl`	Champion-level drone racing using deep reinforcement learning. Nat. Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2023	J	`jnl`	DeepGCNs: Making GCNs Go as Deep as CNNs. IEEE Trans. Pattern Anal. Mach. Intell. Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem
2023	A*	`conf`	E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning. NeurIPS Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
2023	J	`jnl`	E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning. CoRR Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
2023	J	`jnl`	EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment. CoRR Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Müller, Peter Wonka
2023	J	`jnl`	LDM3D: Latent Diffusion Model for 3D. CoRR Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Müller, Vasudev Lal
2023	J	`jnl`	Label Delay in Continual Learning. CoRR Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi
2023	J	`jnl`	MiDaS v3.1 - A Model Zoo for Robust Monocular Relative Depth Estimation. CoRR Reiner Birkl, Diana Wofk, Matthias Müller
2023	A*	`conf`	Monocular Visual-Inertial Depth Estimation. ICRA Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2023	J	`jnl`	Monocular Visual-Inertial Depth Estimation. CoRR Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2023	J	`jnl`	Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2023	J	`jnl`	Revisiting Test Time Adaptation under Online Evaluation. CoRR Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem
2023	A*	`conf`	Training Efficient Controllers via Analytic Policy Gradient. ICRA Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2023	A*	`conf`	Zero-Shot Transfer of Haptics-Based Object Insertion Policies. ICRA Samarth Brahmbhatt, Ankur Deka, Andrew Spielberg, Matthias Müller
2023	J	`jnl`	Zero-Shot Transfer of Haptics-Based Object Insertion Policies. CoRR Samarth Brahmbhatt, Ankur Deka, Andrew Spielberg, Matthias Müller
2023	J	`jnl`	ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth. CoRR Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, Matthias Müller
2022	A	`conf`	Accurate Vision-based Flight with Fixed-Wing Drones. IROS Valentin Wüest, Enrico Ajanic, Matthias Müller, Dario Floreano
2022	J	`jnl`	SimCS: Simulation for Online Domain-Incremental Continual Segmentation. CoRR Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller
2022	J	`jnl`	Training Efficient Controllers via Analytic Policy Gradient. CoRR Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2021	A*	`conf`	Deep Drone Acrobatics (Extended Abstract). IJCAI Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	J	`jnl`	Learning High-Speed Flight in the Wild. CoRR Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	J	`jnl`	Learning high-speed flight in the wild. Sci. Robotics Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	A*	`conf`	OpenBot: Turning Smartphones into Robots. ICRA Matthias Müller, Vladlen Koltun
2021	A*	`conf`	Training Graph Neural Networks with 1000 Layers. ICML Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
2021	J	`jnl`	Training Graph Neural Networks with 1000 Layers. CoRR Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
2020	—	`conf`	Deep Drone Acrobatics. Robotics: Science and Systems Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020	J	`jnl`	Deep Drone Acrobatics. CoRR Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020	J	`jnl`	OpenBot: Turning Smartphones into Robots. CoRR Matthias Müller, Vladlen Koltun
2020	A*	`conf`	SGAS: Sequential Greedy Architecture Search. CVPR Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2019	J	`jnl`	Can GCNs Go as Deep as CNNs? CoRR Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2019	A*	`conf`	DeepGCNs: Can GCNs Go As Deep As CNNs? ICCV Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2019	J	`jnl`	DeepGCNs: Making GCNs Go as Deep as CNNs. CoRR Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem
2019	—	`conf`	Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. CVPR Workshops Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2019	J	`jnl`	Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. CoRR Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2019	—	`conf`	OIL: Observational Imitation Learning. Robotics: Science and Systems Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem
2019	J	`jnl`	SGAS: Sequential Greedy Architecture Search. CoRR Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2018	Misc	`conf`	Driving Policy Transfer via Modularity and Abstraction. CoRL Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	J	`jnl`	Driving Policy Transfer via Modularity and Abstraction. CoRR Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	A*	`conf`	End-to-End Driving Via Conditional Imitation Learning. ICRA Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. CoRR Abdullah Hamdi, Matthias Müller, Bernard Ghanem
2018	J	`jnl`	Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. Int. J. Comput. Vis. Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem
2018	J	`jnl`	Teaching UAVs to Race With Observational Imitation Learning. CoRR Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2018	—	`conf`	Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. ECCV Workshops (2) Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2018	—	`conf`	TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. ECCV (1) Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem
2018	J	`jnl`	TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. CoRR Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem
2017	J	`jnl`	End-to-end Driving via Conditional Imitation Learning. CoRR Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
2017	J	`jnl`	Teaching UAVs to Race Using UE4Sim. CoRR Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2017	J	`jnl`	UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. CoRR Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem