Projects
Night-time Aerial Material Segmentation
A low-cost solution for robust night-time material segmentation using hyperspectral data with RGB imagery.
Real Time Processing of Hyperspectral Video
This project showcases various aspects of processing hyperspectral video streams in real-time using advanced machine learning techniques.
Video Imputation
On-the fly error-recovery in adaptive streaming, compression, and super resolution
DEDRECON
Advanced machine learning applied to real-life image visual perception under multi-modality fusion techniques
Adversarial Cloaking
Patch-based adversarial attack pipeline for training adversarial patches on 3D human meshes
Camera ISP
Structured deep learning models that solves the heterogeneous image artifact filtering problem
People
Graduate Students
Undergraduate Students
About Us
The Computational Visualization Center is a cross-disciplinary effort whose mission is to develop and improve the core technologies for comprehensive computational modeling, simulation, analysis, and visualization of natural and synthetic phenomena, and then utilize them as an integrated tool for rapid discovery.
The Center is under the joint auspices of the Oden Institute for Computational Engineering and Sciences and the Department of Computer Science at the University of Texas at Austin.
The Center’s current research and education areas of interest span Image Processing, Computational Geometry, Geometric Modeling, Computer Graphics Animation, Data Analysis, Visualization, and Computational Mathematics. Recent research and software development topics include the design and development of efficient and robust 2D/3D/4D image and geometry filtering, reconstruction, compression, matching, and meshing algorithms. These are being applied in our current research projects, in particular, to the structure elucidation and construction of multi-scale domain models of molecules, organelles, cells, tissues, and organs from multi-modal, microscopy, and bio-imaging.
The Center’s research groups are also involved in developing integrated approaches to computational modeling, mathematical analysis, and interrogative visualization, especially for dynamic bio-medical phenomena. The Center’s education and outreach output include generating interpretive scientific animation, and interactive movies, that are being used in classroom instruction, as well as increasing the public awareness of the causative nature of the disease, and potential cures.