Publications
Julian Straub, Jason Chang, Oren Freifeld, and John W. Fisher III A Dirichlet Process Mixture Model for Spherical Data International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, CA, USA May 2015. (Oral) [ PDF ] - [ Supp. Material ] - +BibTeX\font> |
Jason Chang and John W. Fisher III Parallel Sampling of HDPs using Sub-Cluster Splits Neural Information and Processing Systems (NIPS), Montreal, Quebec, Canada Dec 2014. [ PDF ] - [ Supp. Material ] - [ Poster ] - [ Code ] +BibTeX |
Jason Chang, Randi Cabezas, and John W. Fisher III Bayesian Nonparametric Intrinsic Image Decomposition European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sept 2014. (Oral) [ PDF ] - [ Presentation ] - [ Code ] - +BibTeX |
Jason Chang and John W. Fisher III Parallel Sampling of DP Mixture Models using Sub-Clusters Splits Neural Information and Processing Systems (NIPS), Lake Tahoe, NV, USA, Dec 2013. [ PDF ] - [ Supp. Material ] - [ Poster ] - [ Code ] +BibTeX |
Jason Chang and John W. Fisher III Topology-Constrained Layered Tracking with Latent Flow IEEE International Conference on Computer Vision (ICCV), Syndey, Australia, Dec 2013. [ PDF ] - [ Supp. Material ] - [ Poster ] - [ Code ] +BibTeX |
Jason Chang, Donglai Wei, and John W. Fisher III A Video Representation Using Temporal Superpixels IEEE Computer Vision and Pattern Recognition (CVPR), Portland, OR, USA, June 2013. [ PDF ] - [ Supp. Material ] - [ Poster ] - [ Code ] +BibTeX |
Jason Chang and John W. Fisher III Efficient Topology-Controlled Sampling of Implicit Shapes IEEE International Conference on Image Processing (ICIP), Orlando, FL, USA, Sept 2012. [ PDF ] - [ arXiv ] - [ Poster ] - [ Code ] +BibTeX |
Jason Chang and John W. Fisher III Efficient MCMC Sampling with Implicit Shape Representations IEEE Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, June 2011. [ PDF ] - [ Supp. Material ] - [ Poster ] - [ BSDS Results ] - [ Code ] +BibTeX +Summary |
Jason Chang and John W. Fisher III Analysis of Orientation and Scale in Smoothly Varying Textures IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, Sept 2009. [ PDF ] - [ Supp. Material ] - [ Poster ] +BibTeX +Summary |
Code
Please visit here to see code used in my publications.
Reports and Theses
- J. Chang, "Sampling in Computer Vision and Bayesian Nonparametric Mixtures", Ph.D. Thesis. MIT, Cambridge, MA June. 2014. [ PDF ]
- J. Chang and J. W. Fisher III, "Efficient topology-controlled sampling of implicit shapes," May 2012, arXiv:1205.3766v1 [cs.CV]. [ PDF ]
- J. Chang, "Extracting Orientation and Scale from Smoothing Varying Textures with Application to Segmentation", S.M. Thesis. MIT, Cambridge, MA Sept. 2009. [ PDF ]
- Discrete-Time Signal Processing Project 1 - Selected for Solutions (2007) [ PDF ]
- Discrete-Time Signal Processing Project 2 (2007) [ PDF ]
- Undergraduate Senior Design Report (2007) [ PDF ]
- Fast Hierarchical Filtered Back Projection - Digital Imaging Final Project (2007) [ PDF ]
Presentations
- A Video Representation using Temporal Superpixels - ECCV IWVS Invited Short Talk (2014)
- Bayesian Nonparametric Intrinsic Image Decomposition - ECCV Oral (2014)
- Modeling Textures and Computing Statistics of Object Shapes in Images - BU Image and Video Computer Group Seminar (2011)
- Inferring Relative Seismic Age - Stochastic Systems Group Seminar (2011)
- Efficient MCMC Sampling with Implicit Shape Representations - CSAIL Computer Vision Seminar (2011) [ PPT ] [ PDF ]
- Analysis of Smoothly Varying Textures - Research Qualifying Exam (2010) [ PDF ]
- Analysis of Smoothly Varying Textures Applied to Segmentation - Automatic Target Recognition Center Workshop* (2009) [ PPT ]
- Texture Based Image Segmentation - Stochastic Systems Group Seminar (2008) [ PPT ] [ PDF ]
- Texture Based Image Segmentation - Airforce Sponsors Visit (2008) [ PDF ]
- Music Search Engine - Undergraduate Senior Design Presentation (2007) [ PPT ] [ PDF ]
- Fast Hierarchical Filtered Back Projection - Digital Imaging Final Project (2007) [ PPT ] [ PDF ]
Posters
- MCMC Sampling in HDPs using Sub-Clusters - NIPS, Montreal, Canada (2014) [ PDF ]
- Bayesian Nonparametric Intrinsic Image Decomposition - ECCV, Zurich, Switzerland (2014) [ PDF ]
- Parallel Sampling of DP Mixture Models using Sub-Clusters Splits - NIPS, Lake Tahoe, NV (2013) [ PDF ]
- Topology-Constrained Layered Tracking with Latent Flow - ICCV, Sydney, AU (2013) [ PDF ]
- A Video Representation Using Temporal Superpixels - CVPR, Portland, OR (2013) [ PDF ]
- Efficient Topology-Controlled Sampling of Implicit Shapes - ICIP, Orlando, FL (2012) [ PDF ]
- Efficient MCMC Sampling with Implicit Shape Representations - CVPR, Colorado Springs, CO (2011) [ PDF ]
- Analysis of Orientation and Scale in Smoothly Varying Textures - ICCV, Kyoto, Japan (2009) [ PDF ]
- Analysis of Smoothly Varying Textures Applied to Segmentation - ATRC Workshop, Dayton, OH (2009) [ PDF ]
- Modeling Slowly Varying Textures - CSAIL Industry Affiliates Program Conference, MIT (2009) [ PDF ]
- Decentralized Detection Schemes Applied to Cognitive Radio Networks - Vodafone Symposium (2007) [ PDF ]
Patents
- Efficient MCMC Sampling with Implicit Shape Representations. U.S. Patent #8744185 B2, June 3, 2014.
*Note: Movies only play in powerpoint and are usually compressed using the Xvid (*.avi) or the H264 (*.mp4) codec.