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09/17/2023
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning
Recently, Gaussian processes have been utilized to model the vector fiel...
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07/04/2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
This paper provides a novel framework for single-domain generalized obje...
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06/19/2023
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming
Recently, many forms of audio industrial applications, such as sound mon...
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11/30/2022
Hint-dynamic Knowledge Distillation
Knowledge Distillation (KD) transfers the knowledge from a high-capacity...
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07/20/2022
Uncertainty Inspired Underwater Image Enhancement
A main challenge faced in the deep learning-based Underwater Image Enhan...
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07/12/2022
Knowledge Condensation Distillation
Knowledge Distillation (KD) transfers the knowledge from a high-capacity...
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06/06/2022
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
Domain Adaptive Object Detection (DAOD) focuses on improving the general...
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04/22/2022
A Closer Look at Personalization in Federated Image Classification
Federated Learning (FL) is developed to learn a single global model acro...
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04/17/2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Anomaly Detection (AD) on medical images enables a model to recognize an...
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03/31/2022
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification
Acoustic source localization has been applied in different fields, such ...
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03/29/2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Synthesizing a subject-specific pathology-free image from a pathological...
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11/01/2021
Self-Verification in Image Denoising
We devise a new regularization, called self-verification, for image deno...
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10/17/2021
Towards Language-guided Visual Recognition via Dynamic Convolutions
In this paper, we are committed to establishing an unified and end-to-en...
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06/13/2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Medical imaging datasets usually exhibit domain shift due to the variati...
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05/31/2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
The analysis of organ vessels is essential for computer-aided diagnosis ...
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03/25/2021
I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
Recent works on two-stage cross-domain detection have widely explored th...
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03/16/2021
Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification
Retinal artery/vein (A/V) classification is a critical technique for dia...
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03/16/2021
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
The goal of unsupervised anomaly segmentation (UAS) is to detect the pix...
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02/01/2021
Underwater Image Enhancement via Learning Water Type Desensitized Representations
For underwater applications, the effects of light absorption and scatter...
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02/01/2021
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
To improve the quality of underwater images, various kinds of underwater...
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12/10/2020
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Despite deep convolutional neural networks achieved impressive progress ...
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11/30/2020
Adaptive noise imitation for image denoising
The effectiveness of existing denoising algorithms typically relies on a...
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10/23/2020
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
Standard segmentation of medical images based on full-supervised convolu...
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07/18/2020
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Retinal artery/vein (A/V) classification plays a critical role in the cl...
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03/13/2020
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Recent advances in adaptive object detection have achieved compelling re...
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12/07/2019
A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Referring Expression Comprehension (REC) is an emerging research spot in...
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12/03/2019
Noise2Blur: Online Noise Extraction and Denoising
We propose a new framework called Noise2Blur (N2B) for training robust i...
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11/30/2019
Learning Rate Dropout
The performance of a deep neural network is highly dependent on its trai...
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10/28/2019
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Automatic and accurate segmentation of the ventricles and myocardium fro...
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08/22/2019
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images
Automatic and accurate segmentation for retinal and choroidal layers of ...
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07/01/2019
Unsupervised Adversarial Graph Alignment with Graph Embedding
Graph alignment, also known as network alignment, is a fundamental task ...
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04/13/2019
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
Previous scene text detection methods have progressed substantially over...
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04/09/2019
Rain O'er Me: Synthesizing real rain to derain with data distillation
We present a supervised technique for learning to remove rain from image...
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11/24/2018
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal
Existing methods for single images raindrop removal either have poor rob...
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11/21/2018
A Deep Tree-Structured Fusion Model for Single Image Deraining
We propose a simple yet effective deep tree-structured fusion model base...
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11/21/2018
Progressive Feature Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) transfers knowledge from a label-ri...
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10/25/2018
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal
The analysis of lesion within medical image data is desirable for effici...
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05/16/2018
Lightweight Pyramid Networks for Image Deraining
Existing deep convolutional neural networks have found major success in ...
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05/15/2018
MEnet: A Metric Expression Network for Salient Object Segmentation
Recent CNN-based saliency models have achieved great performance on publ...
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05/15/2018
A Deeply-Recursive Convolutional Network for Crowd Counting
The estimation of crowd count in images has a wide range of applications...
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05/06/2018
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
The need for fast acquisition and automatic analysis of MRI data is grow...
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04/20/2018
Residual-Guide Feature Fusion Network for Single Image Deraining
Single image rain streaks removal is extremely important since rainy ima...
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04/10/2018
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction
In multi-contrast magnetic resonance imaging (MRI), compressed sensing t...
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04/04/2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Compressed sensing MRI is a classic inverse problem in the field of comp...
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03/27/2018
A Divide-and-Conquer Approach to Compressed Sensing MRI
Compressed sensing (CS) theory assures us that we can accurately reconst...
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03/23/2018
A Deep Error Correction Network for Compressed Sensing MRI
Compressed sensing for magnetic resonance imaging (CS-MRI) exploits imag...
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09/07/2016
Clearing the Skies: A deep network architecture for single-image rain removal
We introduce a deep network architecture called DerainNet for removing r...
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03/17/2016
