13 citations · 26 across the 5 of their papers we have counts for
8 papers
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
Xin Wu, Hao Zhao, Shunkai Li +2
Visual re-localization aims to recover camera poses in a known environment, which is vital for applications like robotics or augmented reality. Feed-forward absolute camera pose re…
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Liyi Luo, Beiwen Tian, Hao Zhao +1
Semantic understanding of 3D point clouds is important for various robotics applications. Given that point-wise semantic annotation is expensive, in this paper, we address the chal…
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32
Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…
Efficient Semantic Scene Completion Network with Spatial Group Convolution
Jiahui Zhang, Hao Zhao, Anbang Yao +3
We introduce Spatial Group Convolution (SGC) for accelerating the computation of 3D dense prediction tasks. SGC is orthogonal to group convolution, which works on spatial dimension…
Deeply-supervised Knowledge Synergy
Dawei Sun, Anbang Yao, Aojun Zhou +1
Convolutional Neural Networks (CNNs) have become deeper and more complicated compared with the pioneering AlexNet. However, current prevailing training scheme follows the previous…
A Closed-form Solution to Universal Style Transfer
Ming Lu, Hao Zhao, Anbang Yao +3
Universal style transfer tries to explicitly minimize the losses in feature space, thus it does not require training on any pre-defined styles. It usually uses different layers of…