A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | Summary:Convergent extension of epithelial tissue is a key motif of animal morphogenesis. On a coarse scale, cell motion resembles laminar fluid flow; yet in contrast to a fluid, epithelial cells adhere to each other and maintain the tissue layer under actively generated internal tension. To resolve this apparent paradox, […]


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X-ray Polarization of the Eastern Lobe of SS 433

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Philip Kaaret, Riccardo Ferrazzoli, Stefano Silvestri, Michela Negro, Alberto Manfreda | Summary: How astrophysical systems translate the kinetic energy of bulk motion into the acceleration of particles to very high energies is a pressing question. SS 433 is a microquasar that emits TeV gamma-rays indicating the […]


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VILLS — Video-Image Learning to Learn Semantics for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]


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Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Yifan Zhou, Ram Prabhakar, Xijun Liu, Yuxiang Guo | Summary: Person Re-Identification (ReID) is a challenging problem, focusing on identifying individuals across diverse settings. However, previous ReID methods primarily concentrated on a single domain or modality, such as Clothes-Changing ReID (CC-ReID) and video ReID. Real-world […]


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VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]


Continue.. VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification

SPY: A Magnet System for a High-pressure Gaseous TPC Neutrino Detector

Kavli Affiliate: Michael Crisler | Summary:We present a novel conceptual design for a magnet system that provides the magnetic field necessary for the analysis of tracks in a high-pressure gaseous argon TPC while simultaneously serving as a pressure vessel to contain the TPC gas volume. The magnet was developed within a Near Detector proposal for […]


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GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation

Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng | Summary: Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information. In recent years, this field has been dominated by learning methods based on two principal input representations: dense […]


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A 16 Parts per Trillion Comparison of the Antiproton-to-Proton q/m Ratios

Kavli Affiliate: T. Higuchi | First 5 Authors: M. J. Borchert, J. A. Devlin, S. E. Erlewein, M. Fleck, J. A. Harrington | Summary: The Standard Model (SM) of particle physics is both incredibly successful and glaringly incomplete. Among the questions left open is the striking imbalance of matter and antimatter in the observable universe […]


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Low-Temperature Transport Property of Spin-1/2 Random Heisenberg Chains

Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]


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Low-Temperature Transport Property of Spin-1/2 Random Heisenberg Chains

Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]


Continue.. Low-Temperature Transport Property of Spin-1/2 Random Heisenberg Chains