Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Ultrafast creation of a light induced semimetallic state in strongly excited 1T-TiSe$_2$

Posted by dbos Berkeley

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Giovanni Marini, Luca Moreschini, Chris Jozwiak | Summary: Screening, a ubiquitous phenomenon associated with the shielding of electric fields by surrounding charges, has been widely adopted as a means to modify a material’s properties. While so far most studies have relied on static […]


Continue.. Ultrafast creation of a light induced semimetallic state in strongly excited 1T-TiSe$_2$

Exact Statistics of Helical Wormlike Chains with Twist-Bend Coupling

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Ashesh Ghosh, Kranthi K. Mandadapu, David T. Limmer, , | Summary: We present a solution for the Green’s function for the general case of a helical wormlike chain with twist-bend coupling, and demonstrate the applicability of our solution for evaluating general structural and mechanical chain properties. […]


Continue.. Exact Statistics of Helical Wormlike Chains with Twist-Bend Coupling

Demonstration of hybrid foreground removal on CHIME data

Posted by dbos MIT

Kavli Affiliate: Kiyoshi Masui | First 5 Authors: Haochen Wang, Kiyoshi Masui, Kevin Bandura, Arnab Chakraborty, Matt Dobbs | Summary: The main challenge of 21 cm cosmology experiments is astrophysical foregrounds which are difficult to separate from the signal due to telescope systematics. An earlier study has shown that foreground residuals induced by antenna gain […]


Continue.. Demonstration of hybrid foreground removal on CHIME data

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Yuqi Ye, Wei Gao, , , | Summary: The key to effective point cloud compression is to obtain a robust context model consistent with complex 3D data structures. Recently, the advancement of large language models (LLMs) has highlighted their capabilities not only as powerful generators for in-context […]


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Valleytronics and negative differential resistance in cubic boron nitride: a first-principles study

Posted by dbos Caltech

Kavli Affiliate: Austin J. Minnich | First 5 Authors: Benjamin Hatanpää, Austin J. Minnich, , , | Summary: Cubic boron nitride (c-BN) is an ultrawide-bandgap semiconductor of significant interest for high-frequency and high-power electronics applications owing to its high saturation drift velocity and high electric breakdown field. Beyond transistors, devices exploiting the valley degree of […]


Continue.. Valleytronics and negative differential resistance in cubic boron nitride: a first-principles study

Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning

Posted by dbos Caltech

Kavli Affiliate: Chiara Daraio | First 5 Authors: Mary V. Bastawrous, Zhi Chen, Alexander C. Ogren, Chiara Daraio, Cynthia Rudin | Summary: Manipulating the dispersive characteristics of vibrational waves is beneficial for many applications, e.g., high-precision instruments. architected hierarchical phononic materials have sparked promise tunability of elastodynamic waves and vibrations over multiple frequency ranges. In […]


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Dynamics of the unitary Bose gas near a narrow Feshbach resonance: universal coherent atom-molecule oscillations

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zhendong Zhang, Shu Nagata, Zhiqiang Wang, K. Levin | Summary: Quench experiments on a unitary Bose gas around a broad Feshbach resonance have led to the discovery of universal dynamics. This universality is manifested in the measured atomic momentum distributions where, asymptotically, a quasi-equilibrated metastable […]


Continue.. Dynamics of the unitary Bose gas near a narrow Feshbach resonance: universal coherent atom-molecule oscillations