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09/13/2023
Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients
Objective: Neoadjuvant chemotherapy (NACT) is one kind of treatment for ...
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08/17/2023
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
We propose ImGeoNet, a multi-view image-based 3D object detection framew...
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05/13/2023
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
In recent years, the growing demand for medical imaging diagnosis has pl...
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05/02/2023
Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS
Accurately predicting the performance of architecture with small sample ...
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04/04/2023
DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation
The cloud is still a popular platform for distributed deep learning (DL)...
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03/28/2023
Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy
2D and 3D tumor features are widely used in a variety of medical image a...
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01/12/2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation
Curating a large scale fully-annotated dataset can be both labour-intens...
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01/08/2023
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
To improve the generalization of 3D human pose estimators, many existing...
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12/20/2022
Multi-head Uncertainty Inference for Adversarial Attack Detection
Deep neural networks (DNNs) are sensitive and susceptible to tiny pertur...
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12/20/2022
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
The proliferation of automatic faithfulness metrics for summarization ha...
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11/06/2022
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images
Myocardial pathology segmentation (MyoPS) can be a prerequisite for the ...
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10/25/2022
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
Social media has increasingly played a key role in emergency response: f...
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06/29/2022
Mapping the Design Space of Human-AI Interaction in Text Summarization
Automatic text summarization systems commonly involve humans for prepari...
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06/21/2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms
Deep convolutional neural networks (CNNs) have been widely used in vario...
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06/18/2022
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation
Partially-supervised learning can be challenging for segmentation due to...
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06/13/2022
An Exploration of Post-Editing Effectiveness in Text Summarization
Automatic summarization methods are efficient but can suffer from low qu...
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06/05/2022
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
Cardiac segmentation is an essential step for the diagnosis of cardiovas...
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04/18/2022
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images
Carotid arteries vulnerable plaques are a crucial factor in the screenin...
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03/15/2022
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Feature representation via self-supervised learning has reached remarkab...
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03/13/2022
CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data
Data augmentation has been proved effective in training deep models. Exi...
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03/03/2022
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Curating a large set of fully annotated training data can be costly, esp...
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03/02/2022
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction
As industrial systems become more complex and monitoring sensors for eve...
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01/25/2022
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
This study aims to develop a novel computer-aided diagnosis (CAD) scheme...
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01/19/2022
TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval
Recent work on contrastive losses for learning joint embeddings over mul...
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10/08/2021
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
With the increase in the number of image data and the lack of correspond...
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06/25/2021
Subgraph Federated Learning with Missing Neighbor Generation
Graphs have been widely used in data mining and machine learning due to ...
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06/09/2021
A Review of Human Evaluation for Style Transfer
This paper reviews and summarizes human evaluation practices described i...
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05/27/2021
Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has become the mainstream technology in computer vision, a...
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05/12/2021
Structure Guided Lane Detection
Recently, lane detection has made great progress with the rapid developm...
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04/08/2021
XFORMAL: A Benchmark for Multilingual Formality Style Transfer
We take the first step towards multilingual style transfer by creating a...
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03/20/2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Deep Neural Networks (DNNs) have shown great success in completing compl...
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11/17/2020
Anatomy Prior Based U-net for Pathology Segmentation with Attention
Pathological area segmentation in cardiac magnetic resonance (MR) images...
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11/17/2020
Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks
In this paper, we study the problem of imaging orientation in cardiac MR...
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11/17/2020
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge am...
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11/17/2020
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
5G beyond is an end-edge-cloud orchestrated network that can exploit het...
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11/17/2020
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
The rapid development of Industrial Internet of Things (IIoT) requires i...
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11/17/2020
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
Emerging technologies such as digital twins and 6th Generation mobile ne...
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09/09/2020
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Facial attribute editing has mainly two objectives: 1) translating image...
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04/15/2020
A novel method for constructing high accurate and robust WENO-Z type scheme
A novel method for constructing robust and high-order accurate weighted ...
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02/13/2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an ind...
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01/17/2020
Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines
Bolts are the most numerous fasteners in transmission lines and are pron...
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12/12/2019
DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks
Accurate real-time forecasting of key performance indicators (KPIs) is a...
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09/17/2019
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
Controlling output length in neural language generation is valuable in m...
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08/01/2019
A Hessenberg-type Algorithm for Computing PageRank Problems
PageRank is a greatly essential ranking algorithm in web information ret...
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07/31/2019
Competing Ratio Loss for Discriminative Multi-class Image Classification
The development of deep convolutional neural network architecture is cri...
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06/11/2019
Hybrid Function Sparse Representation towards Image Super Resolution
Sparse representation with training-based dictionary has been shown succ...
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08/23/2018
Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks
The fifth generation of cellular networks (5G) will rely on edge cloud d...
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05/26/2018
Fine-Grained Age Estimation in the wild with Attention LSTM Networks
Age estimation from a single face image has been an essential task in th...
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02/05/2018
The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface
This paper describes a problem arising in sea exploration, where the aim...
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10/09/2017