A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Kavli Affiliate: T. A. Shutt | First 5 Authors: J. Aalbers, K. Abe, V. Aerne, F. Agostini, S. Ahmed Maouloud | Summary: The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter […]


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ViT-P: Rethinking Data-efficient Vision Transformers from Locality

Kavli Affiliate: Ran Wang | First 5 Authors: Bin Chen, Ran Wang, Di Ming, Xin Feng, | Summary: Recent advances of Transformers have brought new trust to computer vision tasks. However, on small dataset, Transformers is hard to train and has lower performance than convolutional neural networks. We make vision transformers as data-efficient as convolutional […]


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Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]


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ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]


Continue.. ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Kavli Affiliate: Cheng Peng | First 5 Authors: Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang, | Summary: Stereo matching is a fundamental building block for many vision and robotics applications. An informative and concise cost volume representation is vital for stereo matching of high accuracy and efficiency. In this paper, we present a novel […]


Continue.. ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Imaging Atomic-Scale Chemistry from Fused Multi-Modal Electron Microscopy

Kavli Affiliate: Richard D. Robinson | First 5 Authors: Jonathan Schwartz, Zichao Wendy Di, Yi Jiang, Alyssa J. Fielitz, Don-Hyung Ha | Summary: Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR) recovery of […]


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CAFE: Learning to Condense Dataset by Aligning Features

Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang | Summary: Dataset condensation aims at reducing the network training effort through condensing a cumbersome training set into a compact synthetic one. State-of-the-art approaches largely rely on learning the synthetic data by matching the gradients between the […]


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Mutations in Parkinsonism-linked endocytic proteins synaptojanin1 and auxilin have synergistic effects on dopaminergic axonal pathology

Kavli Affiliate: Pietro DeCamilli | Authors: Xin Yi Ng, Yumei Wu, Youneng Lin, Sidra Mohamed Yaqoob, Lois E. Greene, Pietro De Camilli and Mian Cao | Summary: Abstract Parkinson’s disease (PD) is a neurodegenerative disorder characterized by defective dopaminergic (DAergic) input to the striatum. Mutations in two genes encoding synaptically enriched clathrin-uncoating factors, synaptojanin 1 […]


Continue.. Mutations in Parkinsonism-linked endocytic proteins synaptojanin1 and auxilin have synergistic effects on dopaminergic axonal pathology

Birth cluster simulations of planetary systems with multiple super-Earths: initial conditions for white dwarf pollution drivers

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Katja Stock, Dimitri Veras, Maxwell X. Cai, Rainer Spurzem, Simon Portegies Zwart | Summary: Previous investigations have revealed that eccentric super-Earths represent a class of planets which are particularly effective at transporting minor bodies towards white dwarfs and subsequently polluting their atmospheres with observable chemical signatures. However, […]


Continue.. Birth cluster simulations of planetary systems with multiple super-Earths: initial conditions for white dwarf pollution drivers