no code implementations • 27 Jul 2023 • Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang
Representing source code in a generic input format is crucial to automate software engineering tasks, e. g., applying machine learning algorithms to extract information.
no code implementations • 5 Nov 2021 • Vishnu Sanjay Ramiya Srinivasan, Rui Ma, Qiang Tang, Zili Yi, Zhan Xu
Recent learning-based inpainting algorithms have achieved compelling results for completing missing regions after removing undesired objects in videos.
no code implementations • 1 Aug 2020 • Zili Yi, Qiang Tang, Vishnu Sanjay Ramiya Srinivasan, Zhan Xu
It only requires the generator to be trained on small images and can do inference on an image of any size.
6 code implementations • CVPR 2020 • Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu
Since convolutional layers of the neural network only need to operate on low-resolution inputs and outputs, the cost of memory and computing power is thus well suppressed.
Ranked #6 on Image Inpainting on Places2 val
1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang
In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.
no code implementations • 9 Oct 2019 • Qiang Tang
Collaborative filtering recommenders provide effective personalization services at the cost of sacrificing the privacy of their end users.