50 citations · 59 across the 6 of their papers we have counts for
6 papers
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
Yifan Wang, Linjie Luo, Xiaohui Shen +1
Recently, significant progress has been made in single-view depth estimation thanks to increasingly large and diverse depth datasets. However, these datasets are largely limited to…
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Zhiyong Huang, Kekai Sheng, Weiming Dong +5
Semi-supervised domain adaptation (SSDA) methods have demonstrated great potential in large-scale image classification tasks when massive labeled data are available in the source d…
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li, Weiming Dong, Xing Mei +3
In this work, we propose a novel meta-learning approach for few-shot classification, which learns transferable prior knowledge across tasks and directly produces network parameters…
Improving Image Restoration with Soft-Rounding
Xing Mei, Honggang Qi, Bao-Gang Hu +1
Several important classes of images such as text, barcode and pattern images have the property that pixels can only take a distinct subset of values. This knowledge can benefit the…
Image Retargeting by Content-Aware Synthesis
Weiming Dong, Fuzhang Wu, Yan Kong +3
Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on conten…
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves
Chun-Guo Li, Xing Mei, Bao-Gang Hu
Unsupervised ranking faces one critical challenge in evaluation applications, that is, no ground truth is available. When PageRank and its variants show a good solution in related…