191 citations · 273 across the 4 of their papers we have counts for
4 papers
Learning Invariant Inter-pixel Correlations for Superpixel Generation
Sen Xu, Shikui Wei, Tao Ruan +1
Deep superpixel algorithms have made remarkable strides by substituting hand-crafted features with learnable ones. Nevertheless, we observe that existing deep superpixel methods, s…
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…
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
Zhedong Zheng, Tao Ruan, Yunchao Wei +2
One fundamental challenge of vehicle re-identification (re-id) is to learn robust and discriminative visual representation, given the significant intra-class vehicle variations acr…
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan, Ting Liu, Zilong Huang +4
Human parsing has received considerable interest due to its wide application potentials. Nevertheless, it is still unclear how to develop an accurate human parsing system in an eff…