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07/08/2023
SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research
Network experiments are essential to network-related scientific research...
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06/29/2023
OSP: Boosting Distributed Model Training with 2-stage Synchronization
Distributed deep learning (DDL) is a promising research area, which aims...
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06/25/2023
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
Although high-fidelity speech can be obtained for intralingual speech sy...
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05/07/2023
Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol
Distributed Machine Learning (DML) systems are utilized to enhance the s...
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08/21/2022
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Compressed Image Super-resolution has achieved great attention in recent...
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07/13/2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Coronary CT Angiography (CCTA) is susceptible to various distortions (e....
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03/22/2021
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
Wire-feed laser additive manufacturing (WLAM) is gaining wide interest d...
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03/21/2021
Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
The advancement of machine learning promises the ability to accelerate t...
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01/13/2021
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
To control part quality, it is critical to analyze pore generation mecha...
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09/30/2020
FAN: Frequency Aggregation Network for Real Image Super-resolution
Single image super-resolution (SISR) aims to recover the high-resolution...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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08/19/2020
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Most existing image restoration networks are designed in a disposable wa...
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07/22/2020
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real ...
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03/04/2020
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
This paper introduces VESR-Net, a method for video enhancement and super...
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03/04/2020
A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration
Machine learning using limited data from physical experiments is shown t...
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11/23/2019
Region Normalization for Image Inpainting
Feature Normalization (FN) is an important technique to help neural netw...
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06/01/2019
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
Image-to-image translation models have shown remarkable ability on trans...
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05/10/2019
RetroFlow: Maintaining Control Resiliency and Flow Programmability for Software-Defined WANs
Providing resilient network control is a critical concern for deploying ...
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02/11/2019
Unpaired Image-to-Image Translation with Domain Supervision
Image-to-image translation has been widely investigated in recent years....
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11/18/2018
Distribution Discrepancy Maximization for Image Privacy Preserving
With the rapid increase in online photo sharing activities, image obfusc...
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06/24/2017