Zobrazeno 1 - 10
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pro vyhledávání: '"ZHANG, Yuqi"'
Fundamental models, trained on large-scale datasets and adapted to new data using innovative learning methods, have revolutionized various fields. In materials science, microstructure image segmentation plays a pivotal role in understanding alloy pro
Externí odkaz:
http://arxiv.org/abs/2407.04922
Autor:
Gao, Xiang, Zhang, Yuqi
This paper handles the problem of converting real pictures into traditional Chinese ink-wash paintings, i.e., Chinese ink-wash painting style transfer. Though this problem could be realized by a wide range of image-to-image translation models, a nota
Externí odkaz:
http://arxiv.org/abs/2404.15743
We present a neural radiance field method for urban-scale semantic and building-level instance segmentation from aerial images by lifting noisy 2D labels to 3D. This is a challenging problem due to two primary reasons. Firstly, objects in urban aeria
Externí odkaz:
http://arxiv.org/abs/2403.11812
Recent advancement in computer vision has significantly lowered the barriers to artistic creation. Exemplar-based image translation methods have attracted much attention due to flexibility and controllability. However, these methods hold assumptions
Externí odkaz:
http://arxiv.org/abs/2401.13976
Aligning large language models (LLMs) with human values, particularly in the face of complex and stealthy jailbreak attacks, presents a formidable challenge. In this study, we present a simple yet highly effective defense strategy, i.e., Intention An
Externí odkaz:
http://arxiv.org/abs/2401.06561
Improving neural machine translation (NMT) systems with prompting has achieved significant progress in recent years. In this work, we focus on how to integrate multi-knowledge, multiple types of knowledge, into NMT models to enhance the performance w
Externí odkaz:
http://arxiv.org/abs/2312.04807
Autor:
Wang, Jiayi, Wang, Ke, Zhou, Fengming, Wang, Chengyu, Fu, Zhiyong, Feng, Zeyu, Zhao, Yu, Zhang, Yuqi
Interactive machine translation (IMT) has emerged as a progression of the computer-aided translation paradigm, where the machine translation system and the human translator collaborate to produce high-quality translations. This paper introduces Synsl
Externí odkaz:
http://arxiv.org/abs/2310.05025
Autor:
Wang, Hongsong, Zhang, Yuqi
Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades. However, most existing approaches rely on textual and metadata information of the patent, an
Externí odkaz:
http://arxiv.org/abs/2308.13749
Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity. After obtaining retrieved examples, re-ranking is a widely adopted post-
Externí odkaz:
http://arxiv.org/abs/2306.08792
Autor:
Liu, Chong, Zhang, Yuqi, Wang, Hongsong, Chen, Weihua, Wang, Fan, Huang, Yan, Shen, Yi-Dong, Wang, Liang
Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Most previous works either simply learn coarse-grained representations o
Externí odkaz:
http://arxiv.org/abs/2306.08789