1 code implementation • 16 May 2024 • Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang
This paper explores the size-invariance of evaluation metrics in Salient Object Detection (SOD), especially when multiple targets of diverse sizes co-exist in the same image.
no code implementations • ICCV 2021 • Feiran Li, Kent Fujiwara, Fumio Okura, Yasuyuki Matsushita
Therefore, in this work, we generalize the formulation of shuffled linear regression to a broader range of conditions where only part of the data should correspond.
no code implementations • ICCV 2021 • Feiran Li, Kent Fujiwara, Fumio Okura, Yasuyuki Matsushita
Recent progress in rotation-invariant point cloud analysis is mainly driven by converting point clouds into their respective canonical poses, and principal component analysis (PCA) is a practical tool to achieve this.
1 code implementation • 24 Nov 2019 • Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura
3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also computationally inefficient due to the processing of point cloud data.
Ranked #1 on Multi-Object Tracking on MOT15_3D (using extra training data)
no code implementations • 22 Nov 2018 • Feiran Li, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara
For the left holes, we employ exemplar based multi-view inpainting method to deal with the color image and coherently use it as guidance to complete the depth correspondence.