26 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 1 cited
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu, Yuzhuo Han, Song Bai +6
Semantic segmentation (SS) is an important perception manner for self-driving cars and robotics, which classifies each pixel into a pre-determined class. The widely-used cross entr…
cs.CV2020★ 26 cited
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
Xiaofeng Liu, Tong Che, Yiqun Lu +3
This paper targets on learning-based novel view synthesis from a single or limited 2D images without the pose supervision. In the viewer-centered coordinates, we construct an end-t…
cs.CV2019★ 18 cited
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
Xiaofeng Liu, Zhenhua Guo, Site Li +4
We consider the problem of comparing the similarity of image sets with variable-quantity, quality and un-ordered heterogeneous images. We use feature restructuring to exploit the c…