1 citations · 2 across the 4 of their papers we have counts for
6 papers
On the role of depth predictions for 3D human pose estimation
Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin +1
Following the successful application of deep convolutional neural networks to 2d human pose estimation, the next logical problem to solve is 3d human pose estimation from monocular…
Incremental ELMVIS for unsupervised learning
Anton Akusok, Emil Eirola, Yoan Miche +5
An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The me…
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks
Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi +4
A new convolutional neural network (CNN) architecture for 2D driver/passenger pose estimation and seat belt detection is proposed in this paper. The new architecture is more nimble…
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)
Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek
Convolutional neural networks (CNN) recently gained notable attraction in a variety of machine learning tasks: including music classification and style tagging. In this work, we pr…
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Baek, Yusen He, Bryan G. Allen +13
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that…
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
Zhiyu Sun, Jia Lu, Stephen Baek
Convolutional neural networks (ConvNets) have demonstrated an exceptional capacity to discern visual patterns from digital images and signals. Unfortunately, such powerful ConvNets…