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Mixup has become a popular augmentation strategy for image classification, yet its naive pixel-wise interpolation often produces unrealistic images that can hinder learning, particularly in high-stakes medical applications. We propose…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Hugo Carlesso , Maria Eliza Patulea , Moncef Garouani , Radu Tudor Ionescu , Josiane Mothe

In remote sensing, each sensor can provide complementary or reinforcing information. It is valuable to fuse outputs from multiple sensors to boost overall performance. Previous supervised fusion methods often require accurate labels for…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Xiaoxiao Du , Alina Zare

Whispering gallery mode (WGM) microresonators, benefitting from the ultrahigh quality (Q) factors and small mode volumes, could considerably enhance the light-matter interaction, making it an ideal platform for studying a broad range of…

Optics · Physics 2018-09-14 Yihang Li , Xuefeng Jiang , Guangming Zhao , Lan Yang

Masked generative models (MGMs) have shown impressive generative ability while providing an order of magnitude efficient sampling steps compared to continuous diffusion models. However, MGMs still underperform in image synthesis compared to…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Jiwan Hur , Dong-Jae Lee , Gyojin Han , Jaehyun Choi , Yunho Jeon , Junmo Kim

Electronic Whispering Gallery Modes (EWGMs) have been recently observed in several circular graphene junctions, pn and pp0, created in scanning tunnelling microscope experiments. By computing the local density of states within the…

Mesoscale and Nanoscale Physics · Physics 2020-06-24 Thi Lien Le , Van Lien Nguyen

Identifying latent structure in large data matrices is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression data, where each network encodes relationships between genes…

Methodology · Statistics 2014-11-10 Chuan Gao , Shiwen Zhao , Ian C. McDowell , Christopher D. Brown , Barbara E. Engelhardt

Aggregating multi-site brain MRI data can enhance deep learning model training, but also introduces non-biological heterogeneity caused by site-specific variations (e.g., differences in scanner vendors, acquisition parameters, and imaging…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Mengqi Wu , Yongheng Sun , Qianqian Wang , Pew-Thian Yap , Mingxia Liu

We propose a new multi-scale molecular dynamics simulation method which can achieve high accuracy and high sampling efficiency simultaneously without aforehand knowledge of the coarse grained (CG) potential and test it for a biomolecular…

Biological Physics · Physics 2009-08-05 Wenfei Li , Shoji Takada

One of the most fascinating topics in current quantum physics are hybridised systems, in which different quantum resonators are strongly coupled. Prominent examples are circular resonators with high quality factors that allow the coupling…

We present a new technique for obtaining simultaneous multimodal quantitative phase and fluorescence microscopy of biological cells, providing both quantitative phase imaging and molecular specificity using a single camera. Our system is…

Optics · Physics 2019-04-03 Yoav N. Nygate , Gyanendra Singh , Itay Barnea , Natan T. Shaked

Utilizing multi-modal data enhances scene understanding by providing complementary semantic and geometric information. Existing methods fuse features or distill knowledge from multiple modalities into a unified representation, improving…

Computer Vision and Pattern Recognition · Computer Science 2025-06-05 Jialei Chen , Xu Zheng , Danda Pani Paudel , Luc Van Gool , Hiroshi Murase , Daisuke Deguchi

Sensing biological forces with microscopic lasers is an emerging technique that offers significant advantages over conventional fluorescent probes and imaging-based techniques. However, the limited availability of suitable deformable or…

Optics · Physics 2026-04-13 Melisa A. Bayrak , David Ripp , Joseph S. Hill , Marcel Schubert

Missing modalities remain a major challenge for multimodal sensing, because most existing methods adapt the fusion process to the observed subset by dropping absent branches, using subset-specific fusion, or reconstructing missing features.…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Hao Wang , Yanyu Qian , Pengcheng Weng , Zixuan Xia , William Dan , Yangxin Xu , Fei Wang

Space-division multiplexing is a promising technology in optical fibre communication to improve the transmission capacity of a single optical fibre. However, the number of channels that can be multiplexed is limited by the crosstalks…

Optics · Physics 2020-02-06 Pengfei Fan , Michael Ruddlesden , Yufei Wang , Luming Zhao , Chao Lu , Lei Su

Lensless on-chip microscopy has shown great potential for biomedical imaging due to its large-area and high-throughput imaging capabilities. By combining the pixel super-resolution (PSR) technique, it can improve the resolution beyond the…

Image and Video Processing · Electrical Eng. & Systems 2024-09-06 Xuyang Chang , Shaowei Jiang , Yongcun Hu , Liheng Bian

Biological multimodal large language models (MLLMs) have emerged as powerful foundation models for scientific discovery. However, existing models are specialized to a single modality, limiting their ability to solve inherently cross-modal…

Machine Learning · Computer Science 2026-03-17 Wonbin Lee , Dongki Kim , Sung Ju Hwang

Whispering-gallery microcavity laser possesses ultralow threshold, whereas convenient free-space optical excitation and collection suffer from low efficiencies due to its rotational symmetry. Here we analytically study a three-dimensional…

Quantum Physics · Physics 2012-06-13 Yong-Chun Liu , Yun-Feng Xiao , Xue-Feng Jiang , Bei-Bei Li , Yan Li , Qihuang Gong

Simulating in silico cellular responses to interventions is a promising direction to accelerate high-content image-based assays, critical for advancing drug discovery and gene editing. To support this, we introduce MorphGen, a…

Quantitative Methods · Quantitative Biology 2025-10-13 Berker Demirel , Marco Fumero , Theofanis Karaletsos , Francesco Locatello

Whispering gallery modes (WGMs) in circularly symmetric optical microresonators exhibit integer quantized angular momentum numbers due to the boundary condition imposed by the geometry. Here, we show that incorporating a photonic crystal…

Label-free single-cell imaging offers a scalable, non-invasive alternative to fluorescence-based cytometry, yet inferring molecular phenotypes directly from bright-field morphology remains challenging. We present a unified Deep Learning…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Saqib Nazir , Ardhendu Behera