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08/27/2023
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
In the real world, image degradations caused by rain often exhibit a com...
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07/05/2023
Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Whole slide image (WSI) classification is an essential task in computati...
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07/04/2023
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation
Recently, deep learning methods have been widely used for tumor segmenta...
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06/26/2023
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer
In the treatment of ovarian cancer, precise residual disease prediction ...
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06/12/2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
Deep learning (DL) has proven highly effective for ultrasound-based comp...
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05/25/2023
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
The multi-scale information among the whole slide images (WSIs) is essen...
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05/04/2023
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
Multi-modal Magnetic Resonance Imaging (MRI) plays an important role in ...
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04/22/2023
Fast MRI Reconstruction via Edge Attention
Fast and accurate MRI reconstruction is a key concern in modern clinical...
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03/13/2023
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Varicolored haze caused by chromatic casts poses haze removal and depth ...
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03/08/2023
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration
Although Convolutional Neural Networks (CNN) have made good progress in ...
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11/28/2022
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging
Deep learning (DL)-based tomographic SAR imaging algorithms are graduall...
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11/28/2022
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study
Benefiting from a relatively larger aperture's angle, and in combination...
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11/28/2022
Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework
This work focuses on 3D Radar imaging inverse problems. Current methods ...
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09/21/2022
Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network
With the booming of Convolutional Neural Networks (CNNs), CNNs such as V...
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08/20/2022
SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing
Single image desnowing is a common yet challenging task. The complex sno...
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06/27/2022
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Transformer has been widely used in histopathology whole slide image (WS...
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06/27/2022
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Local representation learning has been a key challenge to promote the pe...
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05/31/2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
Computer-aided diagnosis (CAD) can help pathologists improve diagnostic ...
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10/21/2021
A channel attention based MLP-Mixer network for motor imagery decoding with EEG
Convolutional neural networks (CNNs) and their variants have been succes...
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08/16/2021
Causal Incremental Graph Convolution for Recommender System Retraining
Real-world recommender system needs to be regularly retrained to keep wi...
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08/13/2021
Incremental Learning for Personalized Recommender Systems
Ubiquitous personalized recommender systems are built to achieve two see...
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08/12/2021
Logit Attenuating Weight Normalization
Over-parameterized deep networks trained using gradient-based optimizers...
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06/29/2021
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
The thick-slice magnetic resonance (MR) images are often structurally bl...
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06/07/2021
Task-driven Semantic Coding via Reinforcement Learning
Task-driven semantic video/image coding has drawn considerable attention...
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05/14/2021
Dual-Attention Residual Network for Automatic Diagnosis of COVID-19
The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) has p...
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04/16/2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Content-based histopathological image retrieval (CBHIR) has become popul...
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03/31/2021
SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction
Pedestrian trajectory prediction for surveillance video is one of the im...
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01/15/2021
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography
Deep learning can promote the mammography-based computer-aided diagnosis...
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10/12/2020
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net
Quantitative Susceptibility Mapping (QSM) is a new phase-based technique...
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07/21/2020
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
This letter proposes a novel Balance Scene Learning Mechanism (BSLM) for...
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06/26/2020
Memory-efficient Embedding for Recommendations
Practical large-scale recommender systems usually contain thousands of f...
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04/06/2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
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03/12/2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Accelerating the inference speed of CNNs is critical to their deployment...
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11/04/2019
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on constrained example-based s...
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10/16/2019
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics
Rapid growing intelligent applications require optimized bit allocation ...
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04/04/2019
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
Deep learning has been successfully applied to the single-image super-re...
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04/02/2018
