253 citations · 451 across the 17 of their papers we have counts for
5 papers · 1 filter
Accelerated CNN Training Through Gradient Approximation
Ziheng Wang, Sree Harsha Nelaturu
Training deep convolutional neural networks such as VGG and ResNet by gradient descent is an expensive exercise requiring specialized hardware such as GPUs. Recent works have exami…
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks
Ziheng Wang, Ann Majewicz Fey
Purpose: This paper focuses on an automated analysis of surgical motion profiles for objective skill assessment and task recognition in robot-assisted surgery. Existing techniques…
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery
Ziheng Wang, Ann Majewicz Fey
With the advent of robot-assisted surgery, the role of data-driven approaches to integrate statistics and machine learning is growing rapidly with prominent interests in objective…
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
Siqi Nie, Ziheng Wang, Qiang Ji
Many computer vision applications involve modeling complex spatio-temporal patterns in high-dimensional motion data. Recently, restricted Boltzmann machines (RBMs) have been widely…
A Hierarchical Probabilistic Model for Facial Feature Detection
Yue Wu, Ziheng Wang, Qiang Ji
Facial feature detection from facial images has attracted great attention in the field of computer vision. It is a nontrivial task since the appearance and shape of the face tend t…