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04/21/2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
We study the problem of shape generation in 3D mesh representation from ...
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12/30/2019
Video Depth Estimation by Fusing Flow-to-Depth Proposals
We present an approach with a novel differentiable flow-to-depth layer f...
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12/20/2019
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
Structure from motion (SfM) is an essential computer vision problem whic...
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12/10/2019
Neural Point Cloud Rendering via Multi-Plane Projection
We present a new deep point cloud rendering pipeline through multi-plane...
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11/27/2019
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds
We propose a novel end-to-end deep scene flow model, called PointPWC-Net...
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11/27/2019
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
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08/16/2019
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models
Many real-world video sequences cannot be conveniently categorized as ge...
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08/05/2019
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
We study the problem of shape generation in 3D mesh representation from ...
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05/09/2019
What Do Single-view 3D Reconstruction Networks Learn?
Convolutional networks for single-view object reconstruction have shown ...
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04/03/2019
Learning for Multi-Type Subspace Clustering
Subspace clustering has been extensively studied from the hypothesis-and...
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01/29/2019
Learning for Multi-Model and Multi-Type Fitting
Multi-model fitting has been extensively studied from the random samplin...
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10/25/2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
We present a learning-based approach to computing solutions for certain ...
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04/06/2018
Motion Segmentation by Exploiting Complementary Geometric Models
Many real-world sequences cannot be conveniently categorized as general ...
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04/05/2018