Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Zirui Li, , , | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from the absence of cross-domain […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yihao Zhang, Sai Li, Albert Lee, Zheng Zhu, Lang Zeng | Summary: Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally intensive combinatorial optimization problems (COPs). While quantum, optical, and electronic devices have garnered significant […]