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11/12/2022
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor
This work demonstrates a novel, state of the art method to reconstruct c...
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01/27/2022
Deep Confidence Guided Distance for 3D Partial Shape Registration
We present a novel non-iterative learnable method for partial-to-partial...
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01/24/2022
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps
Image translation across domains for unpaired datasets has gained intere...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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10/16/2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
We present a new method for real-time non-rigid dense correspondence bet...
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05/06/2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
We present a new paradigm for rigid alignment between point clouds based...
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04/10/2021
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
Understanding the flow in 3D space of sparsely sampled points between tw...
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12/19/2020
Unsupervised Scale-Invariant Multispectral Shape Matching
Alignment between non-rigid stretchable structures is one of the hardest...
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12/15/2020
Geometry Enhancements from Visual Content: Going Beyond Ground Truth
This work presents a new cyclic architecture that extracts high-frequenc...
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12/06/2020
Skeleon-Based Typing Style Learning For Person Identification
We present a novel architecture for person identification based on typin...
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12/05/2020
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection
Modern perception systems in the field of autonomous driving rely on 3D ...
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11/30/2020
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
3D scene flow estimation is a vital tool in perceiving our environment g...
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11/30/2020
Unsupervised Optical Flow Using Cost Function Unrolling
Analyzing motion between two consecutive images is one of the fundamenta...
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11/30/2020
Dual Geometric Graph Network (DG2N) – Zero-Shot Refinement for Dense Shape Correspondence
We provide a novel new approach for aligning geometric models using a du...
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11/19/2020
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Estimating the 3D motion of points in a scene, known as scene flow, is a...
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09/11/2020
MRZ code extraction from visa and passport documents using convolutional neural networks
Detecting and extracting information from Machine-Readable Zone (MRZ) on...
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09/10/2020
OCR Graph Features for Manipulation Detection in Documents
Detecting manipulations in digital documents is becoming increasingly im...
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04/27/2020
Printing and Scanning Attack for Image Counter Forensics
Examining the authenticity of images has become increasingly important a...
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12/03/2019
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
We present the first utterly self-supervised network for dense correspon...
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03/22/2016
Multi-velocity neural networks for gesture recognition in videos
We present a new action recognition deep neural network which adaptively...
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03/21/2016
Deep video gesture recognition using illumination invariants
In this paper we present architectures based on deep neural nets for ges...
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12/29/2010
Affine-invariant geodesic geometry of deformable 3D shapes
Natural objects can be subject to various transformations yet still pres...
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12/29/2010