Matthias Müller

According to our database, Matthias Müller authored at least 44 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation.

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner

CoRR, 2024

GIM: Learning Generalizable Image Matcher From Internet Videos.

Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang

CoRR, 2024

2023

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning.

Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Sci. Robotics, September, 2023

DeepGCNs: Making GCNs Go as Deep as CNNs.

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Champion-level drone racing using deep reinforcement learning.

Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Nat., 2023

EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment.

Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Müller, Peter Wonka

CoRR, 2023

Label Delay in Continual Learning.

Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi

CoRR, 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.

Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

CoRR, 2023

CLNeRF: Continual Learning Meets NeRF.

Zhipeng Cai, Matthias Mueller

CoRR, 2023

MiDaS v3.1 - A Model Zoo for Robust Monocular Relative Depth Estimation.

Reiner Birkl, Diana Wofk, Matthias Müller

CoRR, 2023

LDM3D: Latent Diffusion Model for 3D.

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

CoRR, 2023

Revisiting Test Time Adaptation under Online Evaluation.

Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem

CoRR, 2023

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, Matthias Müller

CoRR, 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.

Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Monocular Visual-Inertial Depth Estimation.

Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Training Efficient Controllers via Analytic Policy Gradient.

Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Zero-Shot Transfer of Haptics-Based Object Insertion Policies.

Samarth Brahmbhatt, Ankur Deka, Andrew Spielberg, Matthias Müller

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

SimCS: Simulation for Online Domain-Incremental Continual Segmentation.

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

CoRR, 2022

Accurate Vision-based Flight with Fixed-Wing Drones.

Valentin Wüest, Enrico Ajanic, Matthias Müller, Dario Floreano

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Learning high-speed flight in the wild.

Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Sci. Robotics, 2021

Deep Drone Acrobatics (Extended Abstract).

Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

OpenBot: Turning Smartphones into Robots.

Matthias Müller, Vladlen Koltun

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Training Graph Neural Networks with 1000 Layers.

Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Drone Acrobatics.

Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Proceedings of the Robotics: Science and Systems XVI, 2020

SGAS: Sequential Greedy Architecture Search.

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications.

Abdullah Hamdi, Matthias Mueller, Bernard Ghanem

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Can GCNs Go as Deep as CNNs?

Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem

CoRR, 2019

OIL: Observational Imitation Learning.

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem

Proceedings of the Robotics: Science and Systems XV, 2019

DeepGCNs: Can GCNs Go As Deep As CNNs?

Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing.

Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications.

Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem

Int. J. Comput. Vis., 2018

Teaching UAVs to Race With Observational Imitation Learning.

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

CoRR, 2018

End-to-End Driving Via Conditional Imitation Learning.

Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation.

Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.

Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018, 2018

Driving Policy Transfer via Modularity and Abstraction.

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Teaching UAVs to Race Using UE4Sim.

Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

CoRR, 2017

UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications.

Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem

CoRR, 2017

The Visual Object Tracking VOT2017 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Context-Aware Correlation Filter Tracking.

Matthias Mueller, Neil Smith, Bernard Ghanem

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Persistent Aerial Tracking system for UAVs.

Matthias Mueller, Gopal Sharma, Neil Smith, Bernard Ghanem

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A Benchmark and Simulator for UAV Tracking.

Matthias Mueller, Neil Smith, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2016, 2016

The Visual Object Tracking VOT2016 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Target Response Adaptation for Correlation Filter Tracking.

Adel Bibi, Matthias Mueller, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2016, 2016