no code implementations • Findings (EMNLP) 2021 • AnAn Liu, Ning Xu, Haozhe Liu
While existing GCN-based methods explore latent node-to-node dependency relations according to a stationary adjacency tensor, an attention-based dynamic tensor, which can pay much attention to the key node like event trigger or its neighboring nodes, has not been developed.
no code implementations • 13 Mar 2024 • Xuanpu Zhang, Dan Song, Pengxin Zhan, QingGuo Chen, Kuilong Liu, AnAn Liu
Image-based virtual try-on aims to transfer target in-shop clothing to a dressed model image, the objectives of which are totally taking off original clothing while preserving the contents outside of the try-on area, naturally wearing target clothing and correctly inpainting the gap between target clothing and original clothing.
1 code implementation • 16 Jan 2024 • Chenyu Zhang, Lanjun Wang, AnAn Liu
In this study, we formulate the problem of targeted adversarial attack on Stable Diffusion and propose a framework to generate adversarial prompts.
1 code implementation • 30 Nov 2023 • Jianhao Zeng, Dan Song, Weizhi Nie, Hongshuo Tian, Tongtong Wang, AnAn Liu
Generative Adversarial Networks (GANs) dominate the research field in image-based virtual try-on, but have not resolved problems such as unnatural deformation of garments and the blurry generation quality.
no code implementations • 30 Nov 2023 • Dan Song, Xinwei Fu, Weizhi Nie, Wenhui Li, Lanjun Wang, You Yang, AnAn Liu
Consequently, this paper aims to improve the confidence with view selection and hierarchical prompts.
1 code implementation • MM '23: Proceedings of the 31st ACM International Conference on Multimedia 2023 • Jingqiu Li, Lanjun Wang, Jianlin He, Yongdong Zhang, AnAn Liu
This is not in line with the original intention of the rumor detection task.
no code implementations • 13 Sep 2023 • Yuting Su, Yichen Wei, Weizhi Nie, Sicheng Zhao, AnAn Liu
Specifically, we propose a dynamic temporal disentanglement model to infer the propagation of utterances and hidden variables, enabling the accumulation of emotion-related information throughout the conversation.
1 code implementation • 26 Aug 2023 • Qiang Li, Qiuyang Ma, Weizhi Nie, AnAn Liu
We employed a clustering method with varying constraint conditions, ranging from strict to loose, allowing for the generation of dependable labels for a subset of unlabeled data during the training phase.
1 code implementation • 2 Jun 2023 • Weizhi Nie, Chen Zhang, Dan Song, Lina Zhao, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray is often utilized for diagnosing common thoracic diseases.
no code implementations • 20 May 2023 • Weizhi Nie, Chen Zhang, Dan Song, Lina Zhao, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray (CXR) is one of the most common and easy-to-get medical tests used to diagnose common diseases of the chest.
no code implementations • 20 May 2023 • Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, AnAn Liu
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesses, but the challenge of achieving accurate automatic diagnosis through this method persists due to the complex relationship between pathology.
1 code implementation • 10 Mar 2022 • Fan Liu, Huilin Chen, Zhiyong Cheng, AnAn Liu, Liqiang Nie, Mohan Kankanhalli
However, existing methods ignore the fact that different modalities contribute differently towards a user's preference on various factors of an item.
no code implementations • 10 Aug 2021 • Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, AnAn Liu, Meng Wang
In this work, a novel end-to-end two-stream boundary-aware network (abbreviated as TBNet) is proposed for generic image manipulation localization in which the RGB stream, the frequency stream, and the boundary artifact location are explored in a unified framework.