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

Spatial deformation of many-body quantum chaotic systems and quantum information scrambling

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 […]


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Aspects of higher-point functions in BCFT$_d$

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$partial$). […]


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Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms

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 […]


Continue.. Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms

Two-stream instability with a growth rate insensitive to collisions in a dissipative plasma jet

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 […]


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Edge-cloud Collaborative Learning with Federated and Centralized Features

Kavli Affiliate: Yi Zhou | First 5 Authors: Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang | Summary: Federated learning (FL) is a popular way of edge computing that doesn’t compromise users’ privacy. Current FL paradigms assume that data only resides on the edge, while cloud servers only perform model averaging. However, in […]


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OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yunpeng Zhang, Zheng Zhu, Dalong Du | Summary: The vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy. Compared with the BEV planes, the 3D semantic occupancy further provides structural information along the vertical direction. This paper […]


Continue.. OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction