Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sathya Chitturi, Cheng Peng, Tadesse Assefa, Nicholas Burdet | Summary: With the introduction of x-ray free electron laser sources around the world, new scientific approaches for visualizing matter at fundamental length and time-scales have become possible. As it relates to magnetism and “magnetic-type” systems, advanced […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang | Summary: The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang | Summary: The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqi Wang, Xianda Guo, Zheng Zhu, Yingjie Tian | Summary: In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with frozen parameters. […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yingjie Tian, Yiqi Wang, Xianda Guo, Zheng Zhu, Long Chen | Summary: In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yingjie Tian, Yiqi Wang, Xianda Guo, Zheng Zhu, Long Chen | Summary: In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with […]
Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Kanato Goto, Taozhi Guo, Tomoki Nosaka, Masahiro Nozaki, Shinsei Ryu | Summary: We study the effect of spatial inhomogeneity on quantum information scrambling, a process of spreading and locally hiding quantum information in quantum many-body systems. As a paradigmatic example, we consider the quantum chaotic Ising spin […]
Kavli Affiliate: Xinan Zhou | First 5 Authors: Junding Chen, Xinan Zhou, , , | Summary: We study three-point correlation functions of scalar operators in conformal field theories with boundaries and interfaces. We focus on two cases where there are one bulk and two boundary operators (B$partialpartial$), or two bulk and one boundary operators (BB$partial$). […]
Kavli Affiliate: Biao Huang | First 5 Authors: Xiuli Zhu, Seshu Kumar Damarla, Biao Huang, , | Summary: Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Paul M. Bellan | Summary: The two-stream instability (Buneman instability) is traditionally derived as a collisionless instability with the presumption that collisions inhibit this instability. We show here via a combination of a collisional two-fluid model and associated experimental observations made in the Caltech plasma […]