1 code implementation • 21 Jan 2024 • Yin Li, Yu Xiong, Wenxin Fan, Kai Wang, Qingqing Yu, Liping Si, Patrick van der Smagt, Jun Tang, Nutan Chen
Conclusion: We creatively apply sequential models in the long-term management of SCIT with promising accuracy in the prediction of SCIT nonadherence in Allergic Rhinitis (AR) patients.
1 code implementation • 6 Sep 2022 • Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song
The temporal information is introduced by the temporal feature aggregation model (TFAM), by conducting an attention mechanism between the context frames and the target frame (i. e., the frame to be detected).
Ranked #4 on Video Object Detection on ImageNet VID
2 code implementations • CVPR 2022 • Sibo Song, Jianqiang Wan, Zhibo Yang, Jun Tang, Wenqing Cheng, Xiang Bai, Cong Yao
In this paper, we specifically adapt vision-language joint learning for scene text detection, a task that intrinsically involves cross-modal interaction between the two modalities: vision and language, since text is the written form of language.
no code implementations • 20 Oct 2021 • Humen Zhong, Jun Tang, Wenhai Wang, Zhibo Yang, Cong Yao, Tong Lu
Recent approaches for end-to-end text spotting have achieved promising results.
no code implementations • CVPR 2021 • Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai
Over the past few years, the field of scene text detection has progressed rapidly that modern text detectors are able to hunt text in various challenging scenarios.
no code implementations • 8 Jan 2020 • Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation.
no code implementations • 14 Mar 2018 • Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li
Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome.
no code implementations • 9 Feb 2018 • Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn
Therefore, we formulate a graphical model to select a proposal stream for each object in which the pairwise potentials consist of the appearance dissimilarity between different streams in the same video and also the similarity between the streams in different videos.
no code implementations • 8 Sep 2017 • Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, Xiao-Feng Wang
We discover and describe Apple's set-up for differentially private data processing, including the overall data pipeline, the parameters used for differentially private perturbation of each piece of data, and the frequency with which such data is sent to Apple's servers.