841 citations · 7.7k across the 158 of their papers we have counts for
10 papers · 1 filter
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann, Michael Weber, Marius Zoellner +2
While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time a…
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang, Min Bai, Gellert Mattyus +7
In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712.5 of land, 8439 of road and around 400,000 buildings. Ou…
Song From PI: A Musically Plausible Network for Pop Music Generation
Hang Chu, Raquel Urtasun, Sanja Fidler
We present a novel framework for generating pop music. Our model is a hierarchical Recurrent Neural Network, where the layers and the structure of the hierarchy encode our prior kn…
Efficient Summarization with Read-Again and Copy Mechanism
Wenyuan Zeng, Wenjie Luo, Sanja Fidler +1
Encoder-decoder models have been widely used to solve sequence to sequence prediction tasks. However current approaches suffer from two shortcomings. First, the encoders compute a…
Deep Watershed Transform for Instance Segmentation
Min Bai, Raquel Urtasun
Most contemporary approaches to instance segmentation use complex pipelines involving conditional random fields, recurrent neural networks, object proposals, or template matching s…
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren, Renjie Liao, Raquel Urtasun +2
Normalization techniques have only recently begun to be exploited in supervised learning tasks. Batch normalization exploits mini-batch statistics to normalize the activations. Thi…
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu +3
The goal of this paper is to perform 3D object detection in the context of autonomous driving. Our method first aims at generating a set of high-quality 3D object proposals by expl…
Find your Way by Observing the Sun and Other Semantic Cues
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker +2
In this paper we present a robust, efficient and affordable approach to self-localization which does not require neither GPS nor knowledge about the appearance of the world. Toward…
Soccer Field Localization from a Single Image
Namdar Homayounfar, Sanja Fidler, Raquel Urtasun
In this work, we propose a novel way of efficiently localizing a soccer field from a single broadcast image of the game. Related work in this area relies on manually annotating a f…
Exploiting Semantic Information and Deep Matching for Optical Flow
Min Bai, Wenjie Luo, Kaustav Kundu +1
We tackle the problem of estimating optical flow from a monocular camera in the context of autonomous driving. We build on the observation that the scene is typically composed of a…