2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Multi-Class 3D Object Detection with Single-Class Supervision
Mao Ye, Chenxi Liu, Maoqing Yao +4
While multi-class 3D detectors are needed in many robotics applications, training them with fully labeled datasets can be expensive in labeling cost. An alternative approach is to…
cs.LG2020★ 1 cited
Unsupervised Feature Selection via Multi-step Markov Transition Probability
Yan Min, Mao Ye, Liang Tian +3
Feature selection is a widely used dimension reduction technique to select feature subsets because of its interpretability. Many methods have been proposed and achieved good result…
cs.CV2020★ 2 cited
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation
Lihua Zhou, Mao Ye, Xinpeng Li +3
Recent works in domain adaptation always learn domain invariant features to mitigate the gap between the source and target domains by adversarial methods. The category information…