The photorealistic modeling of large-scale scenes, such as urban structures, requires a fusion of range sensing technology and traditional digital photography. This paper presents...
Lingyun Liu, Gene Yu, George Wolberg, Siavash Zoka...
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
In this paper, we propose an effective algorithm flow to handle largescale mixed-size placement. The basic idea is to use floorplanning to guide the placement of objects at the gl...
In this paper, we present DeFer -- a fast, high-quality and nonstochastic fixed-outline floorplanning algorithm. DeFer generates a non-slicing floorplan by compacting a slicing fl...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...