402 citations · 875 across the 35 of their papers we have counts for
36 papers
A Practical GPU-Accelerated Implementation of Orthogonal Matching Pursuit
Ariel Lubonja, Sebastian Kazmarek Praesius, Trac Duy Tran
Finding the sparsest solution to the underdetermined system , given a tolerance, is known to be NP-hard. Many approximate solutions to this problem exist, a…
Deep filter bank regression for super-resolution of anisotropic MR brain images
Samuel W. Remedios, Shuo Han, Yuan Xue +4
In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane signals are typically of lower resolution than the in-plane signals. While contemporary super-resolution (S…
Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements
Shuai Huang, Deqiang Qiu, Trac D. Tran
Designing efficient sparse recovery algorithms that could handle noisy quantized measurements is important in a variety of applications -- from radar to source localization, spectr…
Optical Flow Estimation via Motion Feature Recovery
Yang Jiao, Guangming Shi, Trac D. Tran
Optical flow estimation with occlusion or large displacement is a problematic challenge due to the lost of corresponding pixels between consecutive frames. In this paper, we discov…
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
Yang Jiao, Yi Niu, Trac D. Tran +1
In 2D+3D facial expression recognition (FER), existing methods generate multi-view geometry maps to enhance the depth feature representation. However, this may introduce false esti…
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
Yang Jiao, Trac D. Tran, Guangming Shi
This paper addresses the challenging unsupervised scene flow estimation problem by jointly learning four low-level vision sub-tasks: optical flow , stereo-depth $\textb…