10 citations · 16 across the 3 of their papers we have counts for
6 papers
Deformable spatial propagation network for depth completion
Zheyuan Xu, Hongche Yin, Jian Yao
Depth completion has attracted extensive attention recently due to the development of autonomous driving, which aims to recover dense depth map from sparse depth measurements. Conv…
Vanishing Point Guided Natural Image Stitching
Kai Chen, Jian Yao, Jingmin Tu +3
Recently, works on improving the naturalness of stitching images gain more and more extensive attention. Previous methods suffer the failures of severe projective distortion and un…
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu, Marco De Nadai, Jian Yao +3
Unsupervised image-to-image translation (UNIT) aims at learning a mapping between several visual domains by using unpaired training images. Recent studies have shown remarkable suc…
Coarse-to-fine Optimization for Speech Enhancement
Jian Yao, Ahmad Al-Dahle
In this paper, we propose the coarse-to-fine optimization for the task of speech enhancement. Cosine similarity loss [1] has proven to be an effective metric to measure similarity…
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
Yahui Liu, Jian Yao, Li Li +2
We develop a novel deep contour detection algorithm with a top-down fully convolutional encoder-decoder network. Our proposed method, named TD-CEDN, solves two important issues in…
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
Tong He, Weilin Huang, Yu Qiao +1
We introduce a new top-down pipeline for scene text detection. We propose a novel Cascaded Convolutional Text Network (CCTN) that joints two customized convolutional networks for c…