We address the problem of segmenting and recognizing objects in real world images, focusing on challenging articulated categories such as humans and other animals. For this purpos...
Pablo Arbelaez, Bharath Hariharan, Chunhui Gu, Sau...
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domai...
We present a method of extending the dynamic range of an picture with two different exposure images. Since pictures under different exposure times show different scene dynamic ran...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
We present a novel spectral imaging technique that allows multiple gray-scale images to be combined in a single hardcopy print. The images are individually revealed when the print...
Gaurav Sharma, Robert P. Loce, Steven J. Harringto...