50 citations · 58 across the 3 of their papers we have counts for
3 papers
cs.CV2021
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…
cs.CV2020★ 8 cited
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…
cs.LG2019★ 50 cited
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…