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11/25/2016
Learning from Maps: Visual Common Sense for Autonomous Driving
Today's autonomous vehicles rely extensively on high-definition 3D maps ...
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09/29/2016
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Robot warehouse automation has attracted significant interest in recent ...
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03/27/2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Matching local geometric features on real-world depth images is a challe...
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03/16/2016
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
While deep neural networks have led to human-level performance on comput...
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12/09/2015
ShapeNet: An Information-Rich 3D Model Repository
We present ShapeNet: a richly-annotated, large-scale repository of shape...
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11/13/2015
Large Scale Artificial Neural Network Training Using Multi-GPUs
This paper describes a method for accelerating large scale Artificial Ne...
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07/09/2015
Robot In a Room: Toward Perfect Object Recognition in Closed Environments
While general object recognition is still far from being solved, this pa...
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06/10/2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
While there has been remarkable progress in the performance of visual re...
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05/01/2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Today, there are two major paradigms for vision-based autonomous driving...
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04/25/2015
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
Traditional eye tracking requires specialized hardware, which means coll...
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06/22/2014
3D ShapeNets: A Deep Representation for Volumetric Shapes
3D shape is a crucial but heavily underutilized cue in today's computer ...
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12/12/2012