no code implementations • 29 Apr 2018 • Haiyang Wang, Yong Tang, Ziyang Jia, Fei Ye
Second, our model connects each layer to the subsequent ones in a feed-forward fashion, which enhances the capability of the model to resist performance degeneration.
no code implementations • 22 May 2019 • Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen
Insights in power grid pixel maps (PGPMs) refer to important facility operating states and unexpected changes in the power grid.
no code implementations • 19 Nov 2019 • Haien Zeng, Hanjiang Lai, Hanlu Chu, Yong Tang, Jian Yin
The modal-aware operation consists of a kernel network and an attention network.
1 code implementation • ICCV 2021 • Yuhao Liu, Jiake Xie, Xiao Shi, Yu Qiao, Yujie Huang, Yong Tang, Xin Yang
Regarding the nature of image matting, most researches have focused on solutions for transition regions.
no code implementations • 22 Aug 2021 • Zhengyang Wu, Ke Deng, Judy Qiu, Yong Tang
There are opportunities to further improve the quality of generated exam scripts in various aspects.
no code implementations • 29 Sep 2021 • Mingtao Guo, Wei Xiong, Zheng Wang, Yong Tang, Ting Wu
Font generation is a valuable but challenging task, it is time consuming and costly to design font libraries which cover all glyphs with various styles.
1 code implementation • CVPR 2022 • Hanqing Yang, Sijia Cai, Hualian Sheng, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Yong Tang, Yu Zhang
In this paper, we introduce the balanced and hierarchical learning for our detector.
1 code implementation • 18 Apr 2022 • Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
Second, they often learn the similarity structure by either global structure learning or local structure learning, which lack the capability of graph learning with both global and local structural awareness.
no code implementations • 20 Apr 2022 • Bo Xu, Jiake Xie, Han Huang, Ziwen Li, Cheng Lu, Yong Tang, Yandong Guo
In this paper, we propose a Situational Perception Guided Image Matting (SPG-IM) method that mitigates subjective bias of matting annotations and captures sufficient situational perception information for better global saliency distilled from the visual-to-textual task.
1 code implementation • 9 Sep 2022 • Si-Guo Fang, Dong Huang, Xiao-Sha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
By simultaneously formulating the view-specific bipartite graph learning, the view-consensus bipartite graph learning, and the discrete cluster structure learning into a unified objective function, an efficient minimization algorithm is then designed to tackle this optimization problem and directly achieve a discrete clustering solution without requiring additional partitioning, which notably has linear time complexity in data size.
no code implementations • 25 Nov 2022 • Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang
Performance of trimap-free image matting methods is limited when trying to decouple the deterministic and undetermined regions, especially in the scenes where foregrounds are semantically ambiguous, chromaless, or high transmittance.
no code implementations • 31 Dec 2023 • Run Shao, Cheng Yang, Qiujun Li, Qing Zhu, Yongjun Zhang, Yansheng Li, Yu Liu, Yong Tang, Dapeng Liu, Shizhong Yang, Haifeng Li
We introduce the Language as Reference Framework (LaRF), a fundamental principle for constructing a multimodal unified model, aiming to strike a trade-off between the cohesion and autonomy among different modalities.
2 code implementations • 20 Feb 2024 • Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
In this paper, we propose a new training-free and transferred-friendly text-to-image generation framework, namely RealCompo, which aims to leverage the advantages of text-to-image and layout-to-image models to enhance both realism and compositionality of the generated images.