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SPIGAN: Privileged Adversarial Learning from Simulation
Deep Learning for Computer Vision depends mainly on the source of superv...
10/09/2018 ∙ by Kuan-Hui Lee, et al. ∙
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Joint Coarse-And-Fine Reasoning for Deep Optical Flow
We propose a novel representation for dense pixel-wise estimation tasks ...
08/22/2018 ∙ by Victor Vaquero, et al. ∙
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Physical Representation-based Predicate Optimization for a Visual Analytics Database
Querying the content of images, video, and other non-textual data source...
06/11/2018 ∙ by Michael R. Anderson, et al. ∙
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A Dataset To Evaluate The Representations Learned By Video Prediction Models
We present a parameterized synthetic dataset called Moving Symbols to su...
02/25/2018 ∙ by Ryan Szeto, et al. ∙
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CARLA: An Open Urban Driving Simulator
We introduce CARLA, an open-source simulator for autonomous driving rese...
11/10/2017 ∙ by Alexey Dosovitskiy, et al. ∙
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From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Supervised learning tends to produce more accurate classifiers than unsu...
12/29/2016 ∙ by Antonio M. Lopez, et al. ∙
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Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
In this work we investigate the problem of road scene semantic segmentat...
04/06/2016 ∙ by German Ros, et al. ∙
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Fast and Robust Fixed-Rank Matrix Recovery
We address the problem of efficient sparse fixed-rank (S-FR) matrix deco...
03/10/2015 ∙ by German Ros, et al. ∙
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Motion Estimation via Robust Decomposition with Constrained Rank
In this work, we address the problem of outlier detection for robust mot...
10/22/2014 ∙ by German Ros, et al. ∙
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