Jason Mak

Jason Mak

Computer Science
University of California, Davis

jwmak at ucdavis dot edu

I am a graduate student in the Computer Science Department at the University of California, Davis. My advisor is Professor Prof. John Owens. My research interests include multi-view 3D reconstruction, mapping computer vision and computer graphics applications to the GPU, and general parallel algorithms and architectures.



scalar field Efficient Dense Reconstruction Using Geometry and Image Consistency Constraints
Mikhail M. Shashkov, Jason Mak, Shawn Recker, Connie Nguyen, John Owens, Kenneth I. Joy
AIPR 2015: Applied Imagery Pattern Recognition Workshop, Washington DC, 2015.

scalar field A Comparative Study of Recent GPU-Accelerated Multi-View Sequential Reconstruction Triangulation Methods for Large-Scale Scenes
Jason Mak, Mauricio Hess-Flores, Shawn Recker, John D. Owens, Kenneth I. Joy
ACCV 2014 Workshop: Big Data in 3D Computer Vision, Singapore, 2014.

scalar field GPU-Accelerated and Efficient Multi-View Triangulation for Scene Reconstruction
Jason Mak, Mauricio Hess-Flores, Shawn Recker, John D. Owens, Kenneth I. Joy
WACV 2014: IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, Colorado, 2014.

Burrows-Wheeler Transform Parallel Lossless Data Compression on the GPU
Ritesh Patel, Yao Zhang, Jason Mak, Andrew Davidson, John D. Owens
Innovative Parallel Computing, pp9, 2012

CA central coast Numerial Ocean Modeling and Simulation with CUDA
Jason Mak, Paul Choboter, Chris Lupo
Oceans'11 MTS/IEEE Kona, 2011