no code implementations • 19 Mar 2025 • Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wenxiang Yi, Yuan Chang, Lijun Lu
Inspired by Kolmogorov-Arnold Networks (KANs), we propose Semi-KAN, which leverages the untapped potential of KANs to enhance backbone architectures for representation learning in SSMIS.
no code implementations • 14 Jun 2024 • Yuan Chang, Shuo Li Liu
Theorem 1 in Bikhchandani & Segal (2011; Theoretical Economics) suggests that a complete, transitive, monotonic, and continuous preference is regret based if and only if it is expected utility.
no code implementations • 8 Apr 2021 • Changgong Zhang, Fangneng Zhan, Yuan Chang
The 3D pose estimation from a single image is a challenging problem due to depth ambiguity.
3D Multi-Person Pose Estimation (absolute)
3D Multi-Person Pose Estimation (root-relative)
+3
no code implementations • 21 Dec 2020 • Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie
Motivated by the Earth Mover distance, we design a novel spherical mover's loss that guides to regress light distribution parameters accurately by taking advantage of the subtleties of spherical distribution.
no code implementations • 16 Nov 2020 • Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover.