3k citations · 8.4k across the 54 of their papers we have counts for
8 papers · 1 filter
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy +2
We present MINOS, a simulator designed to support the development of multisensory models for goal-directed navigation in complex indoor environments. The simulator leverages large…
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla +2
We introduce CARLA, an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autono…
Playing for Benchmarks
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
We present a benchmark suite for visual perception. The benchmark is based on more than 250K high-resolution video frames, all annotated with ground-truth data for both low-level a…
Learning Compact Geometric Features
Marc Khoury, Qian-Yi Zhou, Vladlen Koltun
We present an approach to learning features that represent the local geometry around a point in an unstructured point cloud. Such features play a central role in geometric registra…
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen, Jia Xu, Vladlen Koltun
We present an approach to accelerating a wide variety of image processing operators. Our approach uses a fully-convolutional network that is trained on input-output pairs that demo…
Learning to Inpaint for Image Compression
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
We study the design of deep architectures for lossy image compression. We present two architectural recipes in the context of multi-stage progressive encoders and empirically demon…