no code implementations • 20 Mar 2024 • BoWen Zhang, Tianyu Yang, Yu Li, Lei Zhang, Xi Zhao
In this paper, we present a triplane autoencoder, which encodes 3D models into a compact triplane latent space to effectively compress both the 3D geometry and texture information.
no code implementations • 2 Oct 2023 • Bowen Dang, Xi Zhao, BoWen Zhang, He Wang
Our key idea is to constrain the solution space of the human body by considering the occluded body parts and visible body parts separately: modeling all plausible poses where the occluded body parts do not penetrate the scene, and constraining the visible body parts using depth data.
1 code implementation • 5 Dec 2022 • Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao
Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and expansion.
1 code implementation • 17 Sep 2022 • BoWen Zhang, Xi Zhao, He Wang, Ruizhen Hu
The core challenge is to generate plausible geometries to fill the unobserved part of the object based on a partial scan, which is under-constrained and suffers from a huge solution space.
no code implementations • 21 Apr 2022 • Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
In this paper, we propose a novel indexing approach called LIMS that uses data clustering, pivot-based data transformation techniques and learned indexes to support efficient similarity query processing in metric spaces.
no code implementations • 26 Apr 2021 • Jianwei Sun, Zhiyuan Tang, Hengxin Yin, Wei Wang, Xi Zhao, Shuaijiang Zhao, Xiaoning Lei, Wei Zou, Xiangang Li
Augmentation related issues, such as comparison of different strategies and ratios for data combination are also investigated.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • ICCV 2021 • Zimeng Zhao, Xi Zhao, Yangang Wang
In this paper, we embed physical constraints on the per-frame estimated motions in both spatial and temporal space.
no code implementations • 29 Apr 2020 • Feixiang He, Yuanhang Xiang, Xi Zhao, He Wang
The method takes as input raw and noisy data with highly mixed multi-dimensional (space, time and dynamics) information, and automatically structure it by learning the correlations among these dimensions.
no code implementations • 25 Sep 2019 • Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou
In this method, we formulate the metro expansion as a process of sequential station selection, and design feasibility rules based on the selected station sequence to ensure the reasonable connection patterns of metro line.
no code implementations • 20 Jul 2019 • Zhihao Shen, Wan Du, Xi Zhao, Jianhua Zou
Retrieving similar trajectories from a large trajectory dataset is important for a variety of applications, like transportation planning and mobility analysis.
no code implementations • 13 Oct 2017 • Wuming Zhang, Xi Zhao, Jean-Marie Morvan, Liming Chen
2D face analysis techniques, such as face landmarking, face recognition and face verification, are reasonably dependent on illumination conditions which are usually uncontrolled and unpredictable in the real world.