StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences

Kavli Affiliate: Wei Gao | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: Occlusions between consecutive frames have long posed a significant challenge in optical flow estimation. The inherent ambiguity introduced by occlusions directly violates the brightness constancy constraint and considerably hinders pixel-to-pixel matching. To address this issue, multi-frame optical flow methods leverage […]


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A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, Boris I. Shraiman, , | Summary: Epithelial tissue elongation by convergent extension 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 […]


Continue.. A Geometric Tension Dynamics Model of Epithelial Convergent Extension

A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, Boris I. Shraiman, , | Summary: Epithelial tissue elongation by convergent extension 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 […]


Continue.. A Geometric Tension Dynamics Model of Epithelial Convergent Extension

A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, 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 […]


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Low- and High-velocity ion{O}{6} in Milky Way-like Galaxies: the Role of Stellar Feedback

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Zhijie Zhang, Xiaoxia Zhang, Hui Li, Taotao Fang, Qingzheng Yu | Summary: Milky Way-type galaxies are surrounded by a warm-hot gaseous halo containing a considerable amount of baryons and metals. The kinematics and spatial distribution of highly-ionized ion species such as ion{O}{6} can be significantly affected by […]


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The discovery space of ELT-ANDES. Stars and stellar populations

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Ian U. Roederer, Julián D. Alvarado-Gómez, Carlos Allende Prieto, Vardan Adibekyan, David Aguado | Summary: The ArmazoNes high Dispersion Echelle Spectrograph (ANDES) is the optical and near-infrared high-resolution echelle spectrograph envisioned for the European Extremely Large Telescope (ELT). We present a selection of science cases, supported by […]


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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