2 code implementations • 22 Aug 2023 • Yifei Su, Dong An, Yuan Xu, Kehan Chen, Yan Huang
This report details the methods of the winning entry of the AVDN Challenge in ICCV CLVL 2023.
1 code implementation • 14 Jul 2023 • Guanlin Li, Kangjie Chen, Yuan Xu, Han Qiu, Tianwei Zhang
We first introduce an oracle into the adversarial training process to help the model learn a correct data-label conditional distribution.
2 code implementations • CVPR 2023 • Xiaoxuan Ma, Jiajun Su, Yuan Xu, Wentao Zhu, Chunyu Wang, Yizhou Wang
Monocular 3D human mesh estimation faces challenges due to depth ambiguity and the complexity of mapping images to complex parameter spaces.
Ranked #1 on 3D Human Pose Estimation on Surreal
1 code implementation • Multimedia Tools and Applications 2022 • Yuan Xu, Yaqin Zhao, Peng Lu
Wildlife image noise reduction is a difficult and challenging problem since the images are inevitably corrupted by the mixed noise in the complex field environments.
no code implementations • 22 Dec 2020 • Plamen Iliev, Yuan Xu
Orthogonal polynomials for the multivariate hypergeometric distribution are defined on lattices in polyhedral domains in $\RR^d$.
Classical Analysis and ODEs 33C50, 33C70, 42C05
1 code implementation • 25 Jun 2019 • Sheehan Olver, Yuan Xu
We present explicit constructions of orthogonal polynomials inside quadratic bodies of revolution, including cones, hyperboloids, and paraboloids.
Classical Analysis and ODEs Numerical Analysis Numerical Analysis 42C05, 42C10, 65D15, 65D32
no code implementations • 8 Aug 2018 • Ling Hu, Shu-Hao Wu, Weizhou Cai, Yuwei Ma, Xianghao Mu, Yuan Xu, Hai-Yan Wang, Yipu Song, Dong-Ling Deng, Chang-Ling Zou, Luyan Sun
Generative adversarial learning is one of the most exciting recent breakthroughs in machine learning---a subfield of artificial intelligence that is currently driving a revolution in many aspects of modern society.
Quantum Physics Disordered Systems and Neural Networks Superconductivity
no code implementations • SEMEVAL 2018 • Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher, Simone Paolo Ponzetto
Large repositories of scientific literature call for the development of robust methods to extract information from scholarly papers.