Super-Resolution Imaging via Angular Magnification

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Dingpeng Liao, Kun Zhang, Zijie Ma, Shikai Wu | Summary: The far-field resolution of optical imaging systems is restricted by the Abbe diffraction limit, a direct result of the wave nature of light. One successful technological approach to circumventing this limit is to reduce the […]


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Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroyuki Tajima, Hiroshi Funaki, Yuta Sekino, Nobutoshi Yasutake, Mamoru Matsuo | Summary: We study the theoretical possibility of $^3P_0$ neutron superfluid in dilute spin-polarized neutron matter, which may be relevant to the crust region of a magnetized neutron star. In such a dilute regime where the neutron […]


Continue.. Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroyuki Tajima, Hiroshi Funaki, Yuta Sekino, Nobutoshi Yasutake, Mamoru Matsuo | Summary: We explore the theoretical possibility of $^3P_0$ neutron superfluid in dilute spin-polarized neutron matter, which may be relevant to the crust region of a magnetized neutron star. In such a dilute regime where the neutron […]


Continue.. Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroyuki Tajima, Hiroshi Funaki, Yuta Sekino, Nobutoshi Yasutake, Mamoru Matsuo | Summary: We explore the theoretical possibility of $^3P_0$ neutron superfluid in dilute spin-polarized neutron matter, which may be relevant to the crust region of a magnetized neutron star. In such a dilute regime where the neutron […]


Continue.. Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

On Ultrafast X-ray Methods for Magnetism

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 […]


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The 3rd Anti-UAV Workshop & Challenge: Methods and Results

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 […]


Continue.. The 3rd Anti-UAV Workshop & Challenge: Methods and Results

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

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 […]


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Multi-Prompt with Depth Partitioned Cross-Modal Learning

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. […]


Continue.. Multi-Prompt with Depth Partitioned Cross-Modal Learning

Multi-Prompt with Depth Partitioned Cross-Modal Learning

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 […]


Continue.. Multi-Prompt with Depth Partitioned Cross-Modal Learning

Multi-Prompt with Depth Partitioned Cross-Modal Learning

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 […]


Continue.. Multi-Prompt with Depth Partitioned Cross-Modal Learning