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04/28/2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
Evaluating the performance of low-light image enhancement (LLE) is highl...
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02/23/2023
Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation
Simulating the effects of skincare products on face is a potential new w...
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01/12/2023
Towards High Performance One-Stage Human Pose Estimation
Making top-down human pose estimation method present both good performan...
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10/11/2022
SaiT: Sparse Vision Transformers through Adaptive Token Pruning
While vision transformers have achieved impressive results, effectively ...
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07/06/2022
MaiT: Leverage Attention Masks for More Efficient Image Transformers
Though image transformers have shown competitive results with convolutio...
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03/30/2022
Automatic Facial Skin Feature Detection for Everyone
Automatic assessment and understanding of facial skin condition have sev...
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12/13/2021
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavor...
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07/27/2021
Griffin: Rethinking Sparse Optimization for Deep Learning Architectures
This paper examines the design space trade-offs of DNNs accelerators aim...
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05/08/2021
Active Terahertz Imaging Dataset for Concealed Object Detection
Concealed object detection in Terahertz imaging is an urgent need for pu...
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03/29/2021
Product semantics translation from brain activity via adversarial learning
A small change of design semantics may affect a user's satisfaction with...
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01/29/2021
Causal Factors, Benefits and Challenges of Test-Driven Development: Practitioner Perceptions
This report describes the experiences of one organization's adoption of ...
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12/22/2020
Revealing the Transmission Dynamics of COVID-19: A Bayesian Framework for R_t Estimation
In epidemiological modelling, the instantaneous reproduction number, R_t...
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12/01/2020
Structured Context Enhancement Network for Mouse Pose Estimation
Automated analysis of mouse behaviours is crucial for many applications ...
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11/04/2020
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Home-cage social behaviour analysis of mice is an invaluable tool to ass...
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07/18/2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Brain tumor segmentation is a challenging problem in medical image analy...
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07/15/2020
CANet: Context Aware Network for 3D Brain Tumor Segmentation
Automated segmentation of brain tumors in 3D magnetic resonance imaging ...
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03/28/2020
Using the Split Bregman Algorithm to Solve the Self-Repelling Snake Model
Preserving the contour topology during image segmentation is useful in m...
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06/02/2019
Inverse boosting pruning trees for depression detection on Twitter
Depression is one of the most common mental health disorders, and a larg...
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05/24/2019
A Research and Strategy of Remote Sensing Image Denoising Algorithms
Most raw data download from satellites are useless, resulting in transmi...
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05/24/2019
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images
In recent years, with the development of aerospace technology, we use mo...
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02/26/2019
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Background: Parkinson's disease (PD) is a prevalent long-term neurodegen...
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02/20/2019
A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
Euler's Elastica based unsupervised segmentation models have strong capa...
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02/16/2019
Semi-supervised Learning on Graph with an Alternating Diffusion Process
Graph-based semi-supervised learning usually involves two separate stage...
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01/30/2019
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks
Convolutional Neural Networks (CNN) based image reconstruction methods h...
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08/05/2016
Sparse Subspace Clustering via Diffusion Process
Subspace clustering refers to the problem of clustering high-dimensional...
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06/11/2012
RepTFD: Replay Based Transient Fault Detection
The advances in IC process make future chip multiprocessors (CMPs) more ...
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07/11/2011
