no code implementations • 8 Apr 2024 • Guokai Zhang, Lanjun Wang, Yuting Su, An-An Liu
We also have validated that our method is generalized to multiple versions of SDs, even without retraining the watermark model.
no code implementations • 11 Mar 2024 • Ning Xu, Yanhui Wang, Tingting Zhang, Hongshuo Tian, Mohan Kankanhalli, An-An Liu
Our approach consists of three modules: (a) Filter Module aims to clarify the common sense concerning a named entity from two aspects: what does it mean?
no code implementations • 8 Mar 2024 • Ning Xu, Tingting Zhang, Hongshuo Tian, An-An Liu
News captioning task aims to generate sentences by describing named entities or concrete events for an image with its news article.
no code implementations • 21 Nov 2023 • Ning Xu, YiFei Gao, Hongshuo Tian, Yongdong Zhang, An-An Liu
In this paper, we propose the Causal Graph Routing (CGR) framework, an integrated causal scheme relying entirely on the intervention mechanisms to reveal the cause-effect forces hidden in data.
1 code implementation • 8 Nov 2023 • Dan Song, Xuanpu Zhang, Juan Zhou, Weizhi Nie, Ruofeng Tong, Mohan Kankanhalli, An-An Liu
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and commercial potential.
no code implementations • 7 Sep 2023 • An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, Lanjun Wang
Furthermore, we strengthen the watermark robustness of our approach by subjecting the compound image to various post-processing attacks, with minimal pixel distortion observed in the revealed watermark.
no code implementations • 6 Aug 2023 • Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, An-An Liu
In modern industries, fault diagnosis has been widely applied with the goal of realizing predictive maintenance.
1 code implementation • 29 Nov 2022 • Zheren Fu, Zhendong Mao, Bo Hu, An-An Liu, Yongdong Zhang
They have overlooked the wide characteristic changes of different classes and can not model abundant intra-class variations for generations.
no code implementations • 16 Aug 2022 • Zan Gao, Xinglei Cui, Tao Zhuo, Zhiyong Cheng, An-An Liu, Meng Wang, Shenyong Chen
However, the temporal features of a low-level scale lack enough semantics for action classification while a high-level scale cannot provide rich details of the action boundaries.
no code implementations • 24 Mar 2022 • Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu
However, scientists and practitioners are difficult to identify implicit biases in the datasets, which causes lack of reliable unbias test datasets to valid models.
1 code implementation • 6 Aug 2020 • Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, An-An Liu, Roger Zimmermann
In this paper, we propose a novel neural network based architecture Graph Location Networks (GLN) to perform infrastructure-free, multi-view image based indoor localization.
2 code implementations • CVPR 2020 • Yaoyao Liu, Yu-Ting Su, An-An Liu, Bernt Schiele, Qianru Sun
However, there is an inherent trade-off to effectively learning new concepts without catastrophic forgetting of previous ones.
no code implementations • 21 Jul 2016 • Wenhui Li, Yongkang Wong, An-An Liu, Yang Li, Yu-Ting Su, Mohan Kankanhalli
To enable the study of this problem, there exist a vast number of action datasets, which are recorded under controlled laboratory settings, real-world surveillance environments, or crawled from the Internet.
no code implementations • CVPR 2015 • Wei-Zhi Nie, An-An Liu, Zan Gao, Yu-Ting Su
This paper originally proposes the clique-graph and further presents a clique-graph matching method by preserving global and local structures.