no code implementations • 24 Oct 2024 • Mingjin Zhang, Jiahao Wang, Jianming Wang, Qi Wang
The DCNN can automatically extract and learn the feature information of sEMG through the convolution operation of the convolutional layer, so that it can capture the complex and high-level features in the data.
1 code implementation • 12 Apr 2024 • Yuelong Li, Tengfei Xiao, Lei Geng, Jianming Wang
Pose diversity is an inherent representative characteristic of 2D images.
1 code implementation • CVPR 2022 • Kunliang Liu, Ouk Choi, Jianming Wang, Wonjun Hwang
Since the human body comprises hierarchically structured parts, each body part of an image can have its sole position distribution characteristic.
Ranked #2 on
Human Parsing
on 4D-DRESS
(using extra training data)
1 code implementation • 18 Nov 2021 • Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses.
no code implementations • 11 Aug 2020 • Liqiang Song, Ye Bi, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
In this paper, we propose a unified framework named Dynamic RElation Aware Model (DREAM) for social recommendation, which tries to model both users dynamic interests and their friends temporal influences.
no code implementations • 6 Aug 2020 • Bo Huang, Ye Bi, Zhen-Yu Wu, Jianming Wang, Jing Xiao
The problem of session-based recommendation aims to predict user next actions based on session histories.
1 code implementation • 30 Jul 2020 • Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
Specifically, we first try to learn more effective user and item latent features in both source and target domains.
no code implementations • 27 Jul 2020 • Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao
In this paper, we propose a Deep Cross Domain Insurance Recommendation System (DCDIR) for cold start users.
no code implementations • SEMEVAL 2019 • Zhenghao Wu, Hao Zheng, Jianming Wang, Weifeng Su, Jefferson Fong
In this study we deal with the problem of identifying and categorizing offensive language in social media.