no code implementations • 10 May 2022 • Bing Zhao, Jun Li, Hong Zhu
To bridge the performance gap, we propose a novel object-level self-supervised learning method, called Contrastive learning with Downstream background invariance (CoDo).
1 code implementation • 10 Oct 2021 • Shaohua Wu, Xudong Zhao, Tong Yu, Rongguo Zhang, Chong Shen, Hongli Liu, Feng Li, Hong Zhu, Jiangang Luo, Liang Xu, Xuanwei Zhang
With this method, Yuan 1. 0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks.
no code implementations • 1 Oct 2021 • Hong Zhu, Ian Bayley
This paper proposes a set of testing strategies for testing machine learning applications in the framework of the datamorphism testing methodology.
no code implementations • 5 Mar 2021 • Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
It is still an open question to leverage various types of information under the BERT framework.
1 code implementation • 15 Dec 2020 • Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu
We conduct our experiments on the proposed real-world interior layout dataset that contains $191208$ designs from the professional designers.
no code implementations • 15 Dec 2020 • Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu
In this paper, we propose a multiple-domain model for producing a custom-size furniture layout in the interior scene.
no code implementations • 4 Aug 2020 • Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun
In this paper, we propose an assistive model that supports professional interior designers to produce industrial interior decoration solutions and to meet the personalized preferences of the property owners.
no code implementations • 24 Jun 2020 • Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun
In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated.
1 code implementation • 12 Mar 2020 • Tong Yu, Hong Zhu
This study next reviews major services and toolkits for HPO, comparing their support for state-of-the-art searching algorithms, feasibility with major deep learning frameworks, and extensibility for new modules designed by users.
1 code implementation • 20 Dec 2019 • Hong Zhu, Ian Bayley, Dongmei Liu, Xiaoyu Zheng
This paper focuses on the datamorphism combination strategies by giving their definitions and implementation algorithms.
no code implementations • 10 Dec 2019 • Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin
With the rapid growth of the applications of machine learning (ML) and other artificial intelligence (AI) techniques, adequate testing has become a necessity to ensure their quality.
1 code implementation • 3 Dec 2019 • Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
In the time of Big Data, training complex models on large-scale data sets is challenging, making it appealing to reduce data volume for saving computation resources by subsampling.
no code implementations • 25 Oct 2019 • Zhenming Xu, Xin Chen, Ronghan Chen, Xin Li, Hong Zhu
In this work, the face-centered cubic (fcc) anion frameworks were creatively constructed to study the effects of anion charge and lattice volume on the stability of lithium ion occupation and lithium ion migration.
Applied Physics
no code implementations • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 2019 • Duohan Liang, Guoliang Fan, Guangfeng Lin, Wanjun Chen, Xiaorong Pan, Hong Zhu
In this paper, we propose a three-stream convolutional neural network (3SCNN) for action recognition from skeleton sequences, which aims to thoroughly and fully exploit the skeleton data by extracting, learning, fusing and inferring multiple motion-related features, including 3D joint positions and joint displacements across adjacent frames as well as oriented bone segments.
Ranked #35 on
Skeleton Based Action Recognition
on NTU RGB+D
no code implementations • 26 Dec 2018 • Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, Kai Chen
In this paper, we presented systematic solutions to build robust and practical AEs against real world object detectors.