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08/08/2023
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
Developing a generalized segmentation model capable of simultaneously de...
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05/12/2023
Self-Learning Symmetric Multi-view Probabilistic Clustering
Multi-view Clustering (MVC) has achieved significant progress, with many...
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04/23/2023
CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
Lane detection is challenging due to the complicated on road scenarios a...
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07/25/2022
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems ...
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02/09/2022
The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge
This paper describes our submission to ICASSP 2022 Multi-channel Multi-p...
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10/08/2021
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
In the recent trend of semi-supervised speech recognition, both self-sup...
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08/19/2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Federated learning (FL) for medical image segmentation becomes more chal...
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06/13/2021
A Phylogenetic Trees Analysis of SARS-CoV-2
One regards spaces of trees as stratified spaces, to study distributions...
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05/25/2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
With the increasing scale and diversification of interaction behaviors i...
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04/06/2021
Inferring Network Structures via Signal Lasso
Inferring the connectivity structure of networked systems from data is a...
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10/28/2020
PPG-based singing voice conversion with adversarial representation learning
Singing voice conversion (SVC) aims to convert the voice of one singer t...
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09/28/2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
The performance of deep learning-based methods strongly relies on the nu...
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09/02/2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
Today, scene graph generation(SGG) task is largely limited in realistic ...
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08/14/2020
Cannot Predict Comment Volume of a News Article before (a few) Users Read It
Many news outlets allow users to contribute comments on topics about dai...
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05/27/2020
Combining PCR and CT testing for COVID
We analyze the effect of using a screening CT-scan for evaluation of pot...
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02/26/2020
Privacy-Preserving Distributed Clustering for Electrical Load Profiling
Electrical load profiling supports retailers and distribution network op...
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08/07/2019
Scene-based Factored Attention for Image Captioning
Image captioning has attracted ever-increasing research attention in the...
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03/04/2019
CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing
With the increasing computations in power system simulations, high-perfo...
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12/17/2018
Privacy-Preserving Distributed Joint Probability Modeling for Spatial-Correlated Wind Farms
Building the joint probability distribution (JPD) of multiple spatial-co...
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12/17/2018
Privacy-Preserving Probabilistic Forecasting for Temporal-spatial Correlated Wind Farms
Adopting Secure scalar product and Secure sum techniques, we propose a p...
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06/06/2018
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
Recent advances in deep learning, like 3D fully convolutional networks (...
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05/07/2018
Sharp Attention Network via Adaptive Sampling for Person Re-identification
In this paper, we present novel sharp attention networks by adaptively s...
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03/23/2018
Deep learning and its application to medical image segmentation
One of the most common tasks in medical imaging is semantic segmentation...
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01/18/2018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Deep learning-based methods achieved impressive results for the segmenta...
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10/23/2017