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11/28/2022
Statistical Shape Analysis of Shape Graphs with Applications to Retinal Blood-Vessel Networks
This paper provides theoretical and computational developments in statis...
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03/22/2022
Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks
Alignment or registration of functions is a fundamental problem in stati...
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12/04/2021
Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation
Training of generative models especially Generative Adversarial Networks...
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11/04/2021
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Recently contrastive learning has shown significant progress in learning...
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08/18/2021
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Stereo-based 3D detection aims at detecting 3D object bounding boxes fro...
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07/08/2020
Statistical shape analysis of brain arterial networks (BAN)
Structures of brain arterial networks (BANs) - that are complex arrangem...
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02/29/2020
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
Past approaches for statistical shape analysis of objects have focused m...
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09/30/2019
A Quotient Space Formulation for Statistical Analysis of Graphical Data
Complex analyses involving multiple, dependent random quantities often l...
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03/10/2019
Group-wise Correlation Stereo Network
Stereo matching estimates the disparity between a rectified image pair, ...
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03/04/2019
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Unsupervised cross-spectral stereo matching aims at recovering disparity...
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08/20/2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Monocular depth estimation aims at estimating a pixelwise depth map for ...
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08/11/2018
