21 citations · 60 across the 10 of their papers we have counts for
11 papers · 1 filter
Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision
Yi Guo, Che Sun, Yunde Jia +1
Neural 3D scene reconstruction methods have achieved impressive performance when reconstructing complex geometry and low-textured regions in indoor scenes. However, these methods h…
A Decomposition Model for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di +2
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increase…
Video Captioning Using Weak Annotation
Jingyi Hou, Yunde Jia, Xinxiao wu +1
Video captioning has shown impressive progress in recent years. One key reason of the performance improvements made by existing methods lie in massive paired video-sentence data, b…
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di +2
Cost aggregation is a key component of stereo matching for high-quality depth estimation. Most methods use multi-scale processing to downsample cost volume for proper context infor…
Deep 3D Portrait from a Single Image
Sicheng Xu, Jiaolong Yang, Dong Chen +4
In this paper, we present a learning-based approach for recovering the 3D geometry of human head from a single portrait image. Our method is learned in an unsupervised manner witho…
Relational Reasoning using Prior Knowledge for Visual Captioning
Jingyi Hou, Xinxiao Wu, Yayun Qi +3
Exploiting relationships among objects has achieved remarkable progress in interpreting images or videos by natural language. Most existing methods resort to first detecting object…