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- research-articleDecember 2024JUST ACCEPTED
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction
ACM Transactions on Autonomous and Adaptive Systems (TAAS), Just Accepted https://doi.org/10.1145/3709141Connected vehicles due to the high mobility and dynamic network topologies of connected vehicles require accurate QoS that includes high throughput and low latency to assess satisfactory QoE. Existing methods mainly focus on centralized QoS prediction ...
- ArticleOctober 2023
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
AbstractIn this paper, we introduce a completion framework to reconstruct the geometric shapes of various anatomies, including organs, vessels and muscles. Our work targets a scenario where one or multiple anatomies are missing in the imaging data due to ...
- research-articleJuly 2020
Deep ResNet Based Remote Sensing Image Super-Resolution Reconstruction in Discrete Wavelet Domain
Pattern Recognition and Image Analysis (SPPRIA), Volume 30, Issue 3Pages 541–550https://doi.org/10.1134/S1054661820030232AbstractWe present a single-image super-resolution (SR) method for Remote Sensing Image based on deep learning within Discrete Wavelet Domain in this paper. Our method is inspired Residual Learning. Firstly, an input image is decomposed by single level 2D ...
- research-articleDecember 2018
Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition
SoICT '18: Proceedings of the 9th International Symposium on Information and Communication TechnologyPages 297–304https://doi.org/10.1145/3287921.3287972Action recognition is one of the most important areas in the computer vision community. Many previous work use two-stream CNN model to obtain both spatial and temporal clues for predicting task. However, two stream are trained separately and combined ...
- research-articleDecember 2018
Fully Residual Convolutional Neural Networks for Aerial Image Segmentation
SoICT '18: Proceedings of the 9th International Symposium on Information and Communication TechnologyPages 289–296https://doi.org/10.1145/3287921.3287970Semantic segmentation from aerial imagery is one of the most essential tasks in the field of remote sensing with various potential applications ranging from map creation to intelligence service. One of the most challenging factors of these tasks is the ...
- ArticleSeptember 2017
Cell Lineage Tracing in Lens-Free Microscopy Videos
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017Pages 3–11https://doi.org/10.1007/978-3-319-66185-8_1AbstractIn vitro experiments with cell cultures are essential for studying growth and migration behaviour and thus, for gaining a better understanding of cancer progression and its treatment. While recent progress in lens-free microscopy (LFM) has ...