Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Li, Huaxiong"'
Autor:
Chen, Haoxing, Hong, Yan, Huang, Zizheng, Xu, Zhuoer, Gu, Zhangxuan, Li, Yaohui, Lan, Jun, Zhu, Huijia, Zhang, Jianfu, Wang, Weiqiang, Li, Huaxiong
Recently, video generation techniques have advanced rapidly. Given the popularity of video content on social media platforms, these models intensify concerns about the spread of fake information. Therefore, there is a growing demand for detectors cap
Externí odkaz:
http://arxiv.org/abs/2405.19707
Image harmonization is a crucial technique in image composition that aims to seamlessly match the background by adjusting the foreground of composite images. Current methods adopt either global-level or pixel-level feature matching. Global-level feat
Externí odkaz:
http://arxiv.org/abs/2312.12729
Real-world multi-agent tasks usually involve dynamic team composition with the emergence of roles, which should also be a key to efficient cooperation in multi-agent reinforcement learning (MARL). Drawing inspiration from the correlation between role
Externí odkaz:
http://arxiv.org/abs/2312.04819
Incomplete multi-view clustering (IMVC) has received increasing attention since it is often that some views of samples are incomplete in reality. Most existing methods learn similarity subgraphs from original incomplete multi-view data and seek compl
Externí odkaz:
http://arxiv.org/abs/2310.04038
Cross-modal retrieval (CMR) has been extensively applied in various domains, such as multimedia search engines and recommendation systems. Most existing CMR methods focus on image-to-text retrieval, whereas audio-to-text retrieval, a less explored do
Externí odkaz:
http://arxiv.org/abs/2309.08839
Autor:
Chen, Haoxing, Gu, Zhangxuan, Li, Yaohui, Lan, Jun, Meng, Changhua, Wang, Weiqiang, Li, Huaxiong
Image harmonization is a critical task in computer vision, which aims to adjust the foreground to make it compatible with the background. Recent works mainly focus on using global transformations (i.e., normalization and color curve rendering) to ach
Externí odkaz:
http://arxiv.org/abs/2211.08639
In recent years, Cross-Modal Hashing (CMH) has aroused much attention due to its fast query speed and efficient storage. Previous literatures have achieved promising results for Cross-Modal Retrieval (CMR) by discovering discriminative hash codes and
Externí odkaz:
http://arxiv.org/abs/2207.11880
Publikováno v:
ICML2023
Contrastive learning (CL) continuously achieves significant breakthroughs across multiple domains. However, the most common InfoNCE-based methods suffer from some dilemmas, such as \textit{uniformity-tolerance dilemma} (UTD) and \textit{gradient redu
Externí odkaz:
http://arxiv.org/abs/2207.07874
Few-shot recognition aims to recognize novel categories under low-data regimes. Some recent few-shot recognition methods introduce auxiliary semantic modality, i.e., category attribute information, into representation learning, which enhances the fea
Externí odkaz:
http://arxiv.org/abs/2112.06398
Publikováno v:
In Information Fusion July 2024 107