1 code implementation • 23 May 2023 • Yi Huang, Jiancheng Huang, Jianzhuang Liu, Mingfu Yan, Yu Dong, Jiaxi Lv, Chaoqi Chen, Shifeng Chen
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem.
no code implementations • 18 May 2023 • Zelin Ying, Chen Li, Yu Dong, Qiuqiang Kong, Qiao Tian, YuanYuan Huo, Yuxuan Wang
The front-end is a critical component of English text-to-speech (TTS) systems, responsible for extracting linguistic features that are essential for a text-to-speech model to synthesize speech, such as prosodies and phonemes.
1 code implementation • 26 Apr 2022 • Yu Wang, Yu Dong, Xuesong Lu, Aoying Zhou
Current deep learning models for code summarization generally follow the principle in neural machine translation and adopt the encoder-decoder framework, where the encoder learns the semantic representations from source code and the decoder transforms the learnt representations into human-readable text that describes the functionality of code snippets.
no code implementations • 20 Dec 2021 • Jingchuan Hu, Shuai Guo, Kai Zhou, Yu Dong, Jun Xu, Li Song
As an important application form of immersive multimedia services, free-viewpoint video(FVV) enables users with great immersive experience by strong interaction.
no code implementations • 15 Sep 2021 • Zhiwei Zhang, Yu Dong, Hanyu Peng, Shifeng Chen
One-class novelty detection is conducted to identify anomalous instances, with different distributions from the expected normal instances.
no code implementations • 2 May 2021 • Xin Xu, Yu Dong, Fan Zhu
For example, humans are good at interactive tasks (while autonomous driving systems usually do not), but we are often incompetent for tasks with strict precision demands.
no code implementations • 11 Mar 2021 • Bang Lin, Xiuchong Wang, Yu Dong, Chengfu Huo, Weijun Ren, Chuanyu Xu
Specially, MHN employs node base embedding to encapsulate node attributes, BFS and DFS neighbors aggregation within a metapath to capture local and global information, and metapaths aggregation to combine different semantics of the heterogeneous graph.
no code implementations • 7 May 2020 • Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hong-Yu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.
2 code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2020 • Ze Lye, Yu Dong, Chengfu Huo, Weijun Ren
In User-to-Item Network, we represent the relevance between user and item by inner product of the corresponding representation in the embedding space.
no code implementations • 20 Jan 2020 • Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao
With the proposed Fusion-discriminator which takes frequency information as additional priors, our model can generator more natural and realistic dehazed images with less color distortion and fewer artifacts.