1 code implementation • 24 Apr 2024 • Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
A central challenge in FL is the effective aggregation of local model weights from disparate and potentially unbalanced participating clients.
no code implementations • 19 Mar 2024 • Chen Hu, Shirui Lyu, Eojin Rho, Daekyum Kim, Shan Luo, Letizia Gionfrida
The proposed pipeline demonstrates an average RMSE of 0. 8 $\pm$ 0. 39 cm for simple and 0. 11 $\pm$ 0. 06 cm for complex geometries.
1 code implementation • 27 Nov 2023 • Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng
In this survey paper, our research indicates that the to-learn data, the learning gradients, and the learned model at different stages all can be manipulated to initiate malicious attacks that range from undermining model performance, reconstructing private local data, and to inserting backdoors.
1 code implementation • 26 Oct 2023 • Zhewei Huang, Ailin Huang, Xiaotao Hu, Chen Hu, Jun Xu, Shuchang Zhou
The Space-Time Video Super-Resolution (STVSR) task aims to enhance the visual quality of videos, by simultaneously performing video frame interpolation (VFI) and video super-resolution (VSR).
Space-time Video Super-resolution Video Frame Interpolation +1
no code implementations • 10 Aug 2023 • Miao Fan, Chen Hu, Shuchang Zhou
In this paper, we introduce a simple task designed to employ Gloden as a reward model that validates the effectiveness of PPO and inspires it, primarily explaining the task of utilizing PPO to manipulate the tokenizer length of the output generated by the model.
1 code implementation • CVPR 2023 • Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, Chao Ma
In the field of 3D object detection for autonomous driving, the sensor portfolio including multi-modality and single-modality is diverse and complex.
1 code implementation • 27 Feb 2023 • Ruihang Miao, Weizhou Liu, Mingrui Chen, Zheng Gong, Weixin Xu, Chen Hu, Shuchang Zhou
3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene representations, which can be applied in the field of autonomous driving and robotic systems.
Ranked #13 on 3D Semantic Scene Completion on SemanticKITTI
no code implementations • ICCV 2023 • Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou
Image matching is a fundamental and critical task in various visual applications, such as Simultaneous Localization and Mapping (SLAM) and image retrieval, which require accurate pose estimation.
no code implementations • 17 Dec 2022 • YuChuan Huang, Chen Hu
Federated learning is a popular paradigm for machine learning.
1 code implementation • 26 Sep 2021 • Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
Specifically, during model optimization, two subsets are constructed by randomly selecting part of k-space data from the undersampled data and then fed into two parallel reconstruction networks to perform information recovery.
no code implementations • 13 Nov 2020 • Youngjoo Cho, Annette M. Molinaro, Chen Hu, Robert L. Strawderman
In this paper, we develop a novel approach to building regression trees for estimating cumulative incidence curves in a competing risks setting.
no code implementations • 30 May 2020 • Fan Zhang, MinChao Yan, Chen Hu, Jun Ni, Fei Ma
In addition, a dual-branch convolutional neural network (CNN) classification method is designed in combination with the global information to mine the pixel features of the image.
no code implementations • 17 Dec 2019 • Chen Hu, Linglong Dai
Although the mobile RIS-UE channel has to be frequently estimated in a small timescale, the associated pilot overhead is low thanks to its low dimension.
no code implementations • 28 Oct 2019 • Xiuhong Wei, Chen Hu, Linglong Dai
Specifically, based on the prior information that beamspace channel elements can be modeled by the Gaussian mixture distribution, we first derive a new shrinkage function to refine the AMP algorithm.
no code implementations • 15 Nov 2018 • Yan-Rong Li, Yu-Yang Songsheng, Jie Qiu, Chen Hu, Pu Du, Kai-Xing Lu, Ying-Ke Huang, Jin-Ming Bai, Wei-Hao Bian, Ye-Fei Yuan, Luis C. Ho, Jian-Min Wang
We apply three BLR models with different prescriptions of BLR clouds distributions and find that the best model for fitting the data of Mrk 142 is a two-zone BLR model, consistent with the theoretical BLR model surrounding slim accretion disks.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 25 Jul 2017 • Fan Zhang, Chen Hu, Qiang Yin, Wei Li, Heng-Chao Li, Wen Hong
However, there is a limitation in current deep learning based ATR solution that each learning process only handle one SAR image, namely learning the static scattering information, while missing the space-varying information.