Ling Li | DeepAI

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Featured Co-authors

Dacheng Tao
495 publications
Xin Li
301 publications
Lei Li
255 publications
Min Zhang
214 publications
Jie Xu
169 publications
Qian Wang
147 publications
Long Chen
127 publications
Xuelong Li
103 publications
Shuo Wang
101 publications
Stephen G. MacDonell
81 publications
Shuo Yang
76 publications

∙ 04/28/2023

ALL-E: Aesthetics-guided Low-light Image Enhancement

Evaluating the performance of low-light image enhancement (LLE) is highl...

0 Ling Li, et al. ∙

∙ 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...

0 Ling Li, et al. ∙

∙ 01/12/2023

Towards High Performance One-Stage Human Pose Estimation

Making top-down human pose estimation method present both good performan...

0 Ling Li, et al. ∙

∙ 10/11/2022

SaiT: Sparse Vision Transformers through Adaptive Token Pruning

While vision transformers have achieved impressive results, effectively ...

0 Ling Li, et al. ∙

∙ 07/06/2022

MaiT: Leverage Attention Masks for More Efficient Image Transformers

Though image transformers have shown competitive results with convolutio...

0 Ling Li, et al. ∙

∙ 03/30/2022

Automatic Facial Skin Feature Detection for Everyone

Automatic assessment and understanding of facial skin condition have sev...

0 Qian Zheng, et al. ∙

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

28 Dong Liang, et al. ∙

∙ 07/27/2021

Griffin: Rethinking Sparse Optimization for Deep Learning Architectures

This paper examines the design space trade-offs of DNNs accelerators aim...

0 Jong Hoon Shin, et al. ∙

∙ 05/08/2021

Active Terahertz Imaging Dataset for Concealed Object Detection

Concealed object detection in Terahertz imaging is an urgent need for pu...

0 Dong Liang, et al. ∙

∙ 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...

0 Pan Wang, et al. ∙

∙ 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 ...

0 Jim Buchan, et al. ∙

∙ 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...

0 Xian Yang, et al. ∙

∙ 12/01/2020

Structured Context Enhancement Network for Mouse Pose Estimation

Automated analysis of mouse behaviours is crucial for many applications ...

5 Feixiang Zhou, et al. ∙

∙ 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...

0 Zheheng Jiang, et al. ∙

∙ 07/18/2020

Deep Learning Based Brain Tumor Segmentation: A Survey

Brain tumor segmentation is a challenging problem in medical image analy...

46 Zhihua Liu, et al. ∙

∙ 07/15/2020

CANet: Context Aware Network for 3D Brain Tumor Segmentation

Automated segmentation of brain tumors in 3D magnetic resonance imaging ...

25 Zhihua Liu, et al. ∙

∙ 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...

10 Huizhu Pan, et al. ∙

∙ 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...

0 Lei Tong, et al. ∙

∙ 05/24/2019

A Research and Strategy of Remote Sensing Image Denoising Algorithms

Most raw data download from satellites are useless, resulting in transmi...

0 Ling Li, et al. ∙

∙ 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...

0 Junxing Hu, et al. ∙

∙ 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...

0 Jiahang Xu, et al. ∙

∙ 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...

16 Lu Tan, et al. ∙

∙ 02/16/2019

Semi-supervised Learning on Graph with an Alternating Diffusion Process

Graph-based semi-supervised learning usually involves two separate stage...

0 Qilin Li, et al. ∙

∙ 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...

0 Ziling Wu, et al. ∙

∙ 08/05/2016

Sparse Subspace Clustering via Diffusion Process

Subspace clustering refers to the problem of clustering high-dimensional...

0 Qilin Li, et al. ∙

∙ 06/11/2012

RepTFD: Replay Based Transient Fault Detection

The advances in IC process make future chip multiprocessors (CMPs) more ...

0 Lei Li, et al. ∙

∙ 07/11/2011

Efficient Deterministic Replay Using Complete Race Detection

Data races can significantly affect the executions of multi-threaded pro...

0 Qi Guo, et al. ∙

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