no code implementations • 26 Dec 2023 • Jingjing Ren, Cheng Xu, Haoyu Chen, Xinran Qin, Lei Zhu
Recent progress in multi-modal conditioned face synthesis has enabled the creation of visually striking and accurately aligned facial images.
1 code implementation • Proceedings of the 12th International Symposium on Information and Communication Technology 2023 • Cheng Xu, M-Tahar Kechadi
In this paper, we propose an innovative fuzzy logic-based hybrid model to improve the performance of fake news detection.
1 code implementation • 16 Nov 2023 • Chong Wang, Cheng Xu, Adeel Akram, Zhilin Shan, Qixing Zhang
By using two different negative instance sampling strategies on positive images and negative images respectively, the problem of supervision signal confusion caused by label diversity in the process of network training is alleviated.
1 code implementation • 4th Workshop on African Natural Language Processing 2023 • Cheng Xu, Nan Yan
This paper presents a dataset called AROT-COV23 (ARabic Original Tweets on COVID-19 as of 2023) containing about 500, 000 original Arabic COVID-19-related tweets from January 2020 to January 2023.
1 code implementation • ICCV 2023 • Weiying Zheng, Cheng Xu, Xuemiao Xu, Wenxi Liu, Shengfeng He
Video inpainting aims at filling in missing regions of a video.
no code implementations • 16 Feb 2022 • Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich
At the heart of Singularity is a novel, workload-aware scheduler that can transparently preempt and elastically scale deep learning workloads to drive high utilization without impacting their correctness or performance, across a global fleet of AI accelerators (e. g., GPUs, FPGAs).
1 code implementation • 16 Dec 2021 • Shuaizheng Hao, Hongzhe Liu, Ningwei Wang, Cheng Xu
Common object detection models consist of classification and regression branches, due to different task drivers, these two branches have different sensibility to the features from the same scale level and the same spatial location.
no code implementations • 6 Oct 2021 • Cheng Xu, Weimin WANG, Shuai Liu, Yong Wang, Yuxiang Tang, Tianling Bian, Yanyu Yan, Qi She, Cheng Yang
In this paper, we show our solution to the Google Landmark Recognition 2021 Competition.
no code implementations • Archives of Medical Science 2021 • Cheng Xu, Jing Wang, TianLong Zheng, Yue Cao, Fan Ye
Among the 10 public datasets, the Random Forest weighted in accuracy has the best performance on 6 datasets, with an average increase of 1. 44% in accuracy and an average increase of 1. 2% in AUC.
no code implementations • ICCV 2019 • Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang
Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval.
no code implementations • 9 Sep 2019 • Lin Xu, Cheng Xu, Yi Tong, Yu Chun Su
This paper presents U-net based breast cancer metastases detection and classification in lymph nodes, as well as patient-level classification based on metastases detection.
1 code implementation • 8 Jul 2019 • Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen
Understanding users' context is essential for successful recommendations, especially for Online-to-Offline (O2O) recommendation, such as Yelp, Groupon, and Koubei.
no code implementations • 3 Jun 2019 • Zhaoqun Li, Cheng Xu, Biao Leng
In this paper, we propose the Collaborative Inner Product Loss (CIP Loss) to obtain ideal shape embedding that discriminative among different categories and clustered within the same class.
no code implementations • 21 Nov 2018 • Zhaoqun Li, Cheng Xu, Biao Leng
How to obtain the desirable representation of a 3D shape, which is discriminative across categories and polymerized within classes, is a significant challenge in 3D shape retrieval.
2 code implementations • 11 Aug 2018 • Biao Leng, Cheng Zhang, Xiaocheng Zhou, Cheng Xu, Kai Xu
In this network, a Score Generation Unit is devised to evaluate the quality of each projected image with score vectors.
no code implementations • 2 Aug 2018 • Yuting Gao, Zheng Huang, Yuchen Dai, Cheng Xu, Kai Chen, Jie Tuo
In this paper, we propose Double Supervised Network with Attention Mechanism (DSAN), a novel end-to-end trainable framework for scene text recognition.
no code implementations • COLING 2018 • Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao
In this paper, we study the problem of question answering over knowledge base.