305 citations · 672 across the 21 of their papers we have counts for
5 papers · 1 filter
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
Sheng Jin, Shangchen Zhou, Yao Liu +4
Deep hashing methods have been proved to be effective and efficient for large-scale Web media search. The success of these data-driven methods largely depends on collecting suffici…
Toward 3D Object Reconstruction from Stereo Images
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
Inferring the 3D shape of an object from an RGB image has shown impressive results, however, existing methods rely primarily on recognizing the most similar 3D model from the train…
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Ying Zheng, Hongxun Yao, Xiaoshuai Sun +3
Sketch recognition remains a significant challenge due to the limited training data and the substantial intra-class variance of freehand sketches for the same object. Conventional…
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
Ying Zheng, Hongxun Yao, Xiaoshuai Sun
In this paper, we propose a novel deep framework for part-level semantic parsing of freehand sketches, which makes three main contributions that are experimentally shown to have su…
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
Haozhe Xie, Hongxun Yao, Xiaoshuai Sun +2
Recovering the 3D representation of an object from single-view or multi-view RGB images by deep neural networks has attracted increasing attention in the past few years. Several ma…