3 papers
cs.CV2021
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
Ke Zhang, Sihong Chen, Qi Ju +3
With the increase in the number of image data and the lack of corresponding labels, weakly supervised learning has drawn a lot of attention recently in computer vision tasks, espec…
cs.CV2019
Hybrid Function Sparse Representation towards Image Super Resolution
Junyi Bian, Baojun Lin, Ke Zhang
Sparse representation with training-based dictionary has been shown successful on super resolution(SR) but still have some limitations. Based on the idea of making the magnificatio…
cs.CV2016
Summary Transfer: Exemplar-based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha +1
Video summarization has unprecedented importance to help us digest, browse, and search today's ever-growing video collections. We propose a novel subset selection technique that le…