24 citations · 24 across the 1 of their papers we have counts for
5 papers
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
Yuzhuo Ren, Chen Chen, Shangwen Li +1
The task of estimating the spatial layout of cluttered indoor scenes from a single RGB image is addressed in this work. Existing solutions to this problems largely rely on hand-cra…
GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes
Yuzhuo Ren, Chen Chen, Shangwen Li +1
An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeli…
Object Boundary Guided Semantic Segmentation
Qin Huang, Chunyang Xia, Wenchao Zheng +3
Semantic segmentation is critical to image content understanding and object localization. Recent development in fully-convolutional neural network (FCN) has enabled accurate pixel-…
A Two-Stage Shape Retrieval (TSR) Method with Global and Local Features
Xiaqing Pan, Sachin Chachada, C. -C. Jay Kuo
A robust two-stage shape retrieval (TSR) method is proposed to address the 2D shape retrieval problem. Most state-of-the-art shape retrieval methods are based on local features mat…
Recovering Missing Coefficients in DCT-Transformed Images
Shujun Li, Andreas Karrenbauer, Dietmar Saupe +1
A general method for recovering missing DCT coefficients in DCT-transformed images is presented in this work. We model the DCT coefficients recovery problem as an optimization prob…