Target Response Adaptation for Correlation Filter Tracking. - Adel Bibi; Matthias Mueller 001; Bernard Ghanem (ECCV (6), 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 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

A Benchmark and Simulator for UAV Tracking. - Matthias Mueller 001; Neil Smith; Bernard Ghanem (ECCV (1), 2016)

Persistent Aerial Tracking system for UAVs. - Matthias Mueller 001; Gopal Sharma; Neil Smith; Bernard Ghanem (IROS, 2016)

Context-Aware Correlation Filter Tracking. - Matthias Mueller 001; Neil Smith; Bernard Ghanem (CVPR, 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; et al. (ICCV Workshops, 2017)

UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. - Matthias Müller 011; Vincent Casser; Jean Lahoud; Neil Smith; Bernard Ghanem (CoRR, 2017)

Teaching UAVs to Race Using UE4Sim. - Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CoRR, 2017)

Driving Policy Transfer via Modularity and Abstraction. - Matthias Müller 011; Alexey Dosovitskiy; Bernard Ghanem; Vladlen Koltun (CoRL, 2018)

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. - Matthias Müller 011; Adel Bibi; Silvio Giancola; Salman Al-Subaihi; Bernard Ghanem (ECCV (1), 2018)

Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. - Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (ECCV Workshops (2), 2018)

End-to-End Driving Via Conditional Imitation Learning. - Felipe Codevilla; Matthias Müller 011; Antonio M. López 001; Vladlen Koltun; Alexey Dosovitskiy (ICRA, 2018)

Teaching UAVs to Race With Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CoRR, 2018)

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. - Matthias Müller 011; Vincent Casser; Jean Lahoud; Neil Smith; Bernard Ghanem (Int. J. Comput. Vis., 2018)

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. - Matthias Müller 011; Guohao Li 001; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CVPR Workshops, 2019)

DeepGCNs: Can GCNs Go As Deep As CNNs? - Guohao Li 001; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (ICCV, 2019)

OIL: Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik Ludewig Michels; Bernard Ghanem (Robotics: Science and Systems, 2019)

Can GCNs Go as Deep as CNNs? - Guohao Li 001; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (CoRR, 2019)

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. - Abdullah Hamdi; Matthias Mueller 001; Bernard Ghanem (AAAI, 2020)

SGAS: Sequential Greedy Architecture Search. - Guohao Li 001; Guocheng Qian; Itzel C. Delgadillo; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (CVPR, 2020)

Deep Drone Acrobatics. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2020)

Training Graph Neural Networks with 1000 Layers. - Guohao Li 001; Matthias Müller 011; Bernard Ghanem; Vladlen Koltun (ICML, 2021)

OpenBot: Turning Smartphones into Robots. - Matthias Müller 011; Vladlen Koltun (ICRA, 2021)

Deep Drone Acrobatics (Extended Abstract). - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (IJCAI, 2021)

Learning high-speed flight in the wild. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2021)

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Mueller 001; Vladlen Koltun; Davide Scaramuzza 001 (Zenodo, 2021)

Accurate Vision-based Flight with Fixed-Wing Drones. - Valentin Wüest; Enrico Ajanic; Matthias Müller 011; Dario Floreano (IROS, 2022)

SimCS: Simulation for Online Domain-Incremental Continual Segmentation. - Motasem Alfarra; Zhipeng Cai; Adel Bibi; Bernard Ghanem; Matthias Müller 011 (CoRR, 2022)

Zero-Shot Transfer of Haptics-Based Object Insertion Policies. - Samarth Brahmbhatt; Ankur Deka; Andrew Spielberg; Matthias Müller 011 (ICRA, 2023)

Training Efficient Controllers via Analytic Policy Gradient. - Nina Wiedemann; Valentin Wüest; Antonio Loquercio; Matthias Müller 011; Dario Floreano; Davide Scaramuzza 001 (ICRA, 2023)

Monocular Visual-Inertial Depth Estimation. - Diana Wofk; René Ranftl; Matthias Müller 011; Vladlen Koltun (ICRA, 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 011; Cheng Wang 003 (NeurIPS, 2023)

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth. - Shariq Farooq Bhat; Reiner Birkl; Diana Wofk; Peter Wonka; Matthias Müller 011 (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 011; Bernard Ghanem (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 011; Vasudev Lal (CoRR, 2023)

MiDaS v3.1 - A Model Zoo for Robust Monocular Relative Depth Estimation. - Reiner Birkl; Diana Wofk; Matthias Müller 011 (CoRR, 2023)

CLNeRF: Continual Learning Meets NeRF. - Zhipeng Cai; Matthias Mueller 001 (CoRR, 2023)

Label Delay in Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser-Nam Lim; Mohamed Elhoseiny; Philip H. S. Torr; Adel Bibi (CoRR, 2023)

Champion-level drone racing using deep reinforcement learning. - Elia Kaufmann; Leonard Bauersfeld; Antonio Loquercio; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Nat., 2023)

DeepGCNs: Making GCNs Go as Deep as CNNs. - Guohao Li 001; Matthias Müller 011; Guocheng Qian; Itzel C. Delgadillo; Abdulellah Abualshour; Ali K. Thabet; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. - Yunlong Song; Angel Romero; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2023)

L-MAGIC: Language Model Assisted Generation of Images with Coherence. - Zhipeng Cai; Matthias Mueller 001; Reiner Birkl; Diana Wofk; Shao-Yen Tseng; Junda Cheng; Gabriela Ben Melech Stan; Vasudev Lal; Michael Paulitsch (CVPR, 2024)

LiSA: LiDAR Localization with Semantic Awareness. - Bochun Yang; Zijun Li 006; Wen Li 005; Zhipeng Cai; Chenglu Wen; Yu Zang; Matthias Müller 011; Cheng Wang 003 (CVPR, 2024)

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. - Yujin Chen; Yinyu Nie; Benjamin Ummenhofer; Reiner Birkl; Michael Paulitsch; Matthias Müller 011; Matthias Nießner (ECCV (9), 2024)

EVP: Enhanced Visual Perception Using Inverse Multi-attentive Feature Refinement and Regularized Image-Text Alignment. - Mykola Lavreniuk; Shariq Farooq Bhat; Matthias Müller 011; Peter Wonka (ECCV Workshops (1), 2024)

GIM: Learning Generalizable Image Matcher From Internet Videos. - Xuelun Shen; Zhipeng Cai; Wei Yin 006; Matthias Müller 011; Zijun Li 006; Kaixuan Wang; Xiaozhi Chen; Cheng Wang 003 (ICLR, 2024)

Evaluation of Test-Time Adaptation Under Computational Time Constraints. - Motasem Alfarra; Hani Itani; Alejandro Pardo; Shyma Alhuwaider; Merey Ramazanova; Juan Camilo Pérez; Zhipeng Cai; Matthias Müller 011; Bernard Ghanem (ICML, 2024)

OpenBot-Fleet: A System for Collective Learning with Real Robots. - Matthias Müller 011; Samarth Brahmbhatt; Ankur Deka; Quentin Leboutet; David Hafner; Vladlen Koltun (ICRA, 2024)

Label Delay in Online Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser Nam Lim; Philip Torr 001; Adel Bibi (NeurIPS, 2024)

RoMeO: Robust Metric Visual Odometry. - Junda Cheng; Zhipeng Cai; Zhaoxing Zhang; Wei Yin 006; Matthias Müller 011; Michael Paulitsch; Xin Yang 008 (CoRR, 2024)