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06/06/2022
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans
We propose Scan2Part, a method to segment individual parts of objects in...
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03/11/2022
Multi-sensor large-scale dataset for multi-view 3D reconstruction
We present a new multi-sensor dataset for 3D surface reconstruction. It ...
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12/21/2021
Can We Use Neural Regularization to Solve Depth Super-Resolution?
Depth maps captured with commodity sensors often require super-resolutio...
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07/13/2021
3D Parametric Wireframe Extraction Based on Distance Fields
We present a pipeline for parametric wireframe extraction from densely s...
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05/25/2021
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild
Depth maps captured with commodity sensors are often of low quality and ...
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12/03/2020
Towards Part-Based Understanding of RGB-D Scans
Recent advances in 3D semantic scene understanding have shown impressive...
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11/30/2020
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
Sharp feature lines carry essential information about human-made objects...
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07/06/2020
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds
Estimation of differential geometric quantities in discrete 3D data repr...
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06/26/2020
Making DensePose fast and light
DensePose estimation task is a significant step forward for enhancing us...
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06/18/2020
Latent Video Transformer
The video generation task can be formulated as a prediction of future vi...
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03/11/2020
Deep Vectorization of Technical Drawings
We present a new method for vectorization of technical line drawings, su...
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12/13/2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing high-quality generative models for 3D shapes is a fundament...
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11/05/2019
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
Segmentation of tumors in brain MRI images is a challenging task, where ...
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07/01/2019
Learning to Approximate Directional Fields Defined over 2D Planes
Reconstruction of directional fields is a need in many geometry processi...
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05/20/2019
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks
Data-driven methods such as convolutional neural networks (CNNs) are kno...
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05/14/2019
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Monocular 3D object detection is well-known to be a challenging vision t...
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12/24/2018
Perceptual deep depth super-resolution
RGBD images, combining high-resolution color and lower-resolution depth ...
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12/15/2018
ABC: A Big CAD Model Dataset For Geometric Deep Learning
We introduce ABC-Dataset, a collection of one million Computer-Aided Des...
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04/26/2018
fMRI: preprocessing, classification and pattern recognition
As machine learning continues to gain momentum in the neuroscience commu...
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04/26/2018