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10/10/2020
LSMAT Least Squares Medial Axis Transform
The medial axis transform has applications in numerous fields including ...
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07/23/2020
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
This paper presents HITNet, a novel neural network architecture for real...
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05/18/2020
Deep Implicit Volume Compression
We describe a novel approach for compressing truncated signed distance f...
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02/10/2020
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
We propose a novel efficient and lightweight model for human pose estima...
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06/12/2019
VIPER: Volume Invariant Position-based Elastic Rods
We extend the formulation of position-based rods to include elastic volu...
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05/29/2019
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning
Volumetric (4D) performance capture is fundamental for AR/VR content gen...
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11/26/2018
MIST: Multiple Instance Spatial Transformer Network
We propose a deep network that can be trained to tackle image reconstruc...
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11/12/2018
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
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10/31/2018
SplineNets: Continuous Neural Decision Graphs
We present SplineNets, a practical and novel approach for using conditio...
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07/24/2018
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
This paper presents StereoNet, the first end-to-end deep architecture fo...
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07/16/2018
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
In this paper we present ActiveStereoNet, the first deep learning soluti...
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04/05/2016
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
Real-time, high-quality, 3D scanning of large-scale scenes is key to mix...
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03/18/2016
Learning to Navigate the Energy Landscape
In this paper, we present a novel and efficient architecture for address...
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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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01/10/2016
Joint Object-Material Category Segmentation from Audio-Visual Cues
It is not always possible to recognise objects and infer material proper...
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10/13/2015
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
We present an open-source, real-time implementation of SemanticPaint, a ...
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01/20/2015
