b'Angela Dai'

Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences

Multi-object tracking from RGB-D video sequences is a challenging proble...
12/15/2020 ∙ by Norman Müller, et al. ∙ 0 ∙ share

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Towards Part-Based Understanding of RGB-D Scans

Recent advances in 3D semantic scene understanding have shown impressive...
12/03/2020 ∙ by Alexey Bokhovkin, et al. ∙ 0 ∙ share

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Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

We introduce Neural Deformation Graphs for globally-consistent deformati...
12/02/2020 ∙ by Aljaž Božič, et al. ∙ 0 ∙ share

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Forecasting Characteristic 3D Poses of Human Actions

We propose the task of forecasting characteristic 3D poses: from a singl...
11/30/2020 ∙ by Christian Diller, et al. ∙ 0 ∙ share

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Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

Object recognition has seen significant progress in the image domain, wi...
07/26/2020 ∙ by Weicheng Kuo, et al. ∙ 0 ∙ share

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SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

We present SPSG, a novel approach to generate high-quality, colored 3D m...
06/25/2020 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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Neural Non-Rigid Tracking

We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
06/23/2020 ∙ by Aljaž Božič, et al. ∙ 0 ∙ share

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SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans

We present a novel approach to reconstructing lightweight, CAD-based rep...
03/27/2020 ∙ by Armen Avetisyan, et al. ∙ 6 ∙ share

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Adversarial Texture Optimization from RGB-D Scans

Realistic color texture generation is an important step in RGB-D surface...
03/18/2020 ∙ by Jingwei Huang, et al. ∙ 7 ∙ share

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SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

We present a novel approach that converts partial and noisy RGB-D scans ...
11/29/2019 ∙ by Angela Dai, et al. ∙ 20 ∙ share

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Joint Embedding of 3D Scan and CAD Objects

3D scan geometry and CAD models often contain complementary information ...
08/19/2019 ∙ by Manuel Dahnert, et al. ∙ 3 ∙ share

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End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans

We present a novel, end-to-end approach to align CAD models to an 3D sca...
06/10/2019 ∙ by Armen Avetisyan, et al. ∙ 3 ∙ share

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3D-SIC: 3D Semantic Instance Completion for RGB-D Scans

This paper focuses on the task of semantic instance completion: from an ...
04/26/2019 ∙ by Ji Hou, et al. ∙ 6 ∙ share

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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

We introduce 3D-SIS, a novel neural network architecture for 3D semantic...
12/17/2018 ∙ by Ji Hou, et al. ∙ 18 ∙ share

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Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

We present Scan2CAD, a novel data-driven method that learns to align cle...
11/27/2018 ∙ by Armen Avetisyan, et al. ∙ 8 ∙ share

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Scan2Mesh: From Unstructured Range Scans to 3D Meshes

We introduce Scan2Mesh, a novel data-driven generative approach which tr...
11/26/2018 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

We present 3DMV, a novel method for 3D semantic scene segmentation of RG...
03/28/2018 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

We introduce ScanComplete, a novel data-driven approach for taking an in...
12/29/2017 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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Matterport3D: Learning from RGB-D Data in Indoor Environments

Access to large, diverse RGB-D datasets is critical for training RGB-D s...
09/18/2017 ∙ by Angel Chang, et al. ∙ 0 ∙ share

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LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing

Exploring and editing colors in images is a common task in graphic desig...
01/13/2017 ∙ by Sharon Lin, et al. ∙ 0 ∙ share

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Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

We introduce a data-driven approach to complete partial 3D shapes throug...
12/01/2016 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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Volumetric and Multi-View CNNs for Object Classification on 3D Data

3D shape models are becoming widely available and easier to capture, mak...
04/12/2016 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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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...
04/05/2016 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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Learning to Navigate the Energy Landscape

In this paper, we present a novel and efficient architecture for address...
03/18/2016 ∙ by Julien Valentin, et al. ∙ 0 ∙ share

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Angela Dai

Featured Co-authors

Christian Theobalt

Evgeny Burnaev

Pushmeet Kohli

Hao Su

Matthias Nießner

Leonidas Guibas

Thomas Funkhouser

Leonidas J. Guibas

Michael Zollhöfer

Niloy J. Mitra

Anelia Angelova

Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences

Towards Part-Based Understanding of RGB-D Scans

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

Forecasting Characteristic 3D Poses of Human Actions

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

Neural Non-Rigid Tracking

SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans

Adversarial Texture Optimization from RGB-D Scans

SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

Joint Embedding of 3D Scan and CAD Objects

End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans

3D-SIC: 3D Semantic Instance Completion for RGB-D Scans

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Scan2Mesh: From Unstructured Range Scans to 3D Meshes

3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Matterport3D: Learning from RGB-D Data in Indoor Environments

LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing

Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

Volumetric and Multi-View CNNs for Object Classification on 3D Data

BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration

Learning to Navigate the Energy Landscape