Technical Reports
 Jing Yuan, Eranga Ukwatta, X.C. Tai, Aaron Fenster and Christoph Schnorr, A Fast Global Optimization-Based Approach to Evolving Contours with Generic Shape Prior (UCLA CAM 12-38)
Jing Yuan, Brandon Miles, Juan Shi, Greg Garvin, Xue-Cheng Tai and Aaron Fenster, Efficient Convex Optimization Approaches to Variational Image Fusion (UCLA CAM 11-86)
Jing Yuan, Egil Bae, Xue-Cheng Tai and Yuri Boykov, A Fast Continuous Max-Flow Approach to Potts Mode (UCLA CAM 11-85)
Egil Bae, Jing Yuan and Xue-Cheng Tai, Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models (UCLA CAM 11-83)
Jing Yuan, Egil Bae, Xue-Cheng Tai and Yuri Boykov, A Study on Continuous Max-Flow and Min-Cut Approaches Part I: Binary Labeling (UCLA CAM 10-61)
Egil Bae, Jing Yuan, Xue-Cheng Tai and Yuri Boykov, A Study on Continuous Max-Flow and Min-Cut Approaches Part II: Multiple Linearly Ordered Labels (UCLA CAM 10-62)
Jing Yuan, Juan Shi and Xue-Cheng Tai, A Convex and Exact Approach to Discrete Constrained TV-L1 Image Approximation (UCLA CAM 10-51, Bibtex)
Egil Bae, Jing Yuan and Xue-Cheng Tai, Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach (UCLA CAM 09-75, Bibtex)
J. Lellmann and J. Kappes and J. Yuan and F. Becker and C. Schnoerr, Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation (Uni. Heidelberg, HCI Report, Nov. 2008, Bibtex)