3 citations · 3 across the 1 of their papers we have counts for
4 papers
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li, Yuanzhi Jiang, Changchun Li +2
Partial Label (PL) learning refers to the task of learning from the partially labeled data, where each training instance is ambiguously equipped with a set of candidate labels but…
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation
Niu Yan, Jihong Ouyang
Demosaicking is standardly the first step in today's Image Signal Processing (ISP) pipeline of digital cameras. It reconstructs image RGB values from the spatially and spectrally s…
Topic representation: finding more representative words in topic models
Jinjin Chi, Jihong Ouyang, Changchun Li +3
The top word list, i.e., the top-M words with highest marginal probability in a given topic, is the standard topic representation in topic models. Most of recent automatical topic…
Low Cost Edge Sensing for High Quality Demosaicking
Yan Niu, Jihong Ouyang, Wanli Zuo +1
Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking procedure to form full RGB images. As today's camera users generally require images to be viewed instantly,…