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05/03/2022
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction
Non-Cartesian sampling with subspace-constrained image reconstruction is...
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05/17/2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
We present an approach for encoding visual task relationships to improve...
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12/19/2020
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Training deep networks for semantic segmentation requires large amounts ...
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12/15/2020
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
Object recognition advances very rapidly these days. One challenge is to...
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12/15/2020
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Open compound domain adaptation (OCDA) is a domain adaptation setting, w...
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06/28/2020
Analogical Image Translation for Fog Generation
Image-to-image translation is to map images from a given style to anothe...
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06/19/2020
Consistency Guided Scene Flow Estimation
We present Consistency Guided Scene Flow Estimation (CGSF), a framework ...
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03/02/2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed ...
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03/02/2020
Unbiased Mean Teacher for Cross Domain Object Detection
Cross domain object detection is challenging, because object detection m...
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12/23/2019
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Segmentation of multiple organs-at-risk (OARs) is essential for radiatio...
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12/15/2019
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
Nowadays, the increasingly growing number of mobile and computing device...
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10/02/2019
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking
High spatiotemporal resolution dynamic magnetic resonance imaging (MRI) ...
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07/12/2019
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
We present GLNet, a self-supervised framework for learning depth, optica...
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07/10/2019
Enhanced generative adversarial network for 3D brain MRI super-resolution
Single image super-resolution (SISR) reconstruction for magnetic resonan...
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12/13/2018
DLOW: Domain Flow for Adaptation and Generalization
In this work, we propose a domain flow generation(DLOW) approach to mode...
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12/12/2018
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Recently, increasing attention has been drawn to training semantic segme...
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04/09/2018
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
This paper tackles the problem of video object segmentation, given some ...
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03/08/2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Object detection typically assumes that training and test data are drawn...
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03/04/2018
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
High-resolution (HR) magnetic resonance images (MRI) provide detailed an...
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03/01/2018
The 2018 DAVIS Challenge on Video Object Segmentation
We present the 2018 DAVIS Challenge on Video Object Segmentation, a publ...
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02/20/2018
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Coronary calcium causes beam hardening and blooming artifacts on cardiac...
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01/08/2018
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Magnetic resonance image (MRI) in high spatial resolution provides detai...
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11/30/2017
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Exploiting synthetic data to learn deep models has attracted increasing ...
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09/18/2017
Video Object Segmentation Without Temporal Information
Video Object Segmentation, and video processing in general, has been his...
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04/06/2017