722 citations · 5.1k across the 126 of their papers we have counts for
7 papers · 1 filter
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…
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…
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig +4
Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision. Despite the community's efforts in data collection, there…
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…