research
∙
04/18/2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network
With the end of Moore's Law, there is a growing demand for rapid archite...
share
research
∙
10/17/2022
Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows
The ability to choose an appropriate camera view among multiple cameras ...
research
∙
02/18/2022
Improving Test Automation Maturity: a Multivocal Literature Review
Mature test automation is key for achieving software quality at speed. I...
research
∙
02/07/2022
Test Automation Maturity Improves Product Quality – Quantitative Study of Open Source Projects Using Continuous Integration
The popularity of continuous integration (CI) is increasing as a result ...
research
∙
01/21/2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Medical image segmentation has been widely recognized as a pivot procedu...
research
∙
11/04/2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Deep learning had already demonstrated its power in medical images, incl...
research
∙
10/24/2020
ShiftAddNet: A Hardware-Inspired Deep Network
Multiplication (e.g., convolution) is arguably a cornerstone of modern d...
research
∙
06/13/2019
Thread Batching for High-performance Energy-efficient GPU Memory Design
Massive multi-threading in GPU imposes tremendous pressure on memory sub...
research
∙
04/09/2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Cloud based medical image analysis has become popular recently due to th...
research
∙
03/14/2018
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation
Modern deep learning enabled artificial neural networks, such as Deep Ne...
research
∙
03/14/2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Deep Neural Networks (DNNs) have achieved remarkable performance in a my...
research
∙
03/14/2018
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework
As one of most fascinating machine learning techniques, deep neural netw...
research
∙
02/14/2018