activity
20162021
most citedJoint Face Detection and Facial Motion Retargeting for Multiple Faces

5 citations · 8 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2021

CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement

Noranart Vesdapunt, Baoyuan Wang

Face detection is a fundamental problem for many downstream face applications, and there is a rising demand for faster, more accurate yet support for higher resolution face detecto…

cs.CV20203 cited

Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting

Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro +1

Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail t…

cs.CV2020

JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling

Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu +1

In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network. Thanks to the joint-based representation, our mode…

cs.CV20195 cited

Joint Face Detection and Facial Motion Retargeting for Multiple Faces

Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D c…

cs.CV2018

Automatic Stroke Lesions Segmentation in Diffusion-Weighted MRI

Noranart Vesdapunt, Nongluk Covavisaruch

Diffusion-Weighted Magnetic Resonance Imaging (DWI) is widely used for early cerebral infarct detection caused by ischemic stroke. Manual segmentation is done by a radiologist as a…

cs.CV2018

Real-time Burst Photo Selection Using a Light-Head Adversarial Network

Baoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha +1

We present an automatic moment capture system that runs in real-time on mobile cameras. The system is designed to run in the viewfinder mode and capture a burst sequence of frames…