Publications | Matthias Müller

LDM3D: Latent Diffusion Model for 3D

Monocular Visual-Inertial Depth Estimation

Zero-Shot Transfer of Haptics-based Object Insertion Policies

Training Efficient Controllers via Analytic Policy Gradient

Learning high-speed flight in the wild

Training Graph Neural Networks with 1000 Layers

OpenBot: Turning Smartphones into Robots

DDA: Deep Drone Acrobatics

SGAS: Sequential Greedy Architecture Search

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

DeepGCNs: Making GCNs Go as Deep as CNNs

OIL: Observational Imitation Learning

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

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

Driving Policy Transfer via Modularity and Abstraction

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

End-to-end Driving via Conditional Imitation Learning

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

Context-Aware Correlation Filter Tracking

The Visual Object Tracking VOT2016 Challenge Results

Target Response Adaptation for Correlation Filter Tracking

Persistent Aerial Tracking System for UAVs

A Benchmark and Simulator for UAV Tracking