Publications (22)
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction
Nana Wang, Li Cui, Xi Huang +3
The precise diagnosis is of great significance in developing precise treatment plans to restore neck function and reduce the burden posed by the cervical spondylosis (CS). However,…
EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal
Nana Wang, Li Cui, Xi Huang +2
Cervical spondylosis (CS) is a common chronic disease that affects up to two-thirds of the population and poses a serious burden on individuals and society. The early identificatio…
Deep Neural Networks Inspired by Differential Equations
Yongshuai Liu, Lianfang Wang, Kuilin Qin +6
Deep learning has become a pivotal technology in fields such as computer vision, scientific computing, and dynamical systems, significantly advancing these disciplines. However, ne…
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
Haifeng Li, Jun Liu, Li Cui +2
Image segmentation with a volume constraint is an important prior for many real applications. In this work, we present a novel volume preserving image segmentation algorithm, which…
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
Li Cui, Yang Ding, Richard Hartley +3
We propose a novel, vision-only object-level SLAM framework for automotive applications representing 3D shapes by implicit signed distance functions. Our key innovation consists of…
Background Learnable Cascade for Zero-Shot Object Detection
Ye Zheng, Ruoran Huang, Chuanqi Han +2
Zero-shot detection (ZSD) is crucial to large-scale object detection with the aim of simultaneously localizing and recognizing unseen objects. There remain several challenges for Z…