CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

Kavli Affiliate: Jean Fan and Laurent Younes | Authors: Lanlan Ji, An Wang, Shreyash Sonthalia, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni and Donald Geman | Summary: Summary: Definition of cell classes across the tissues of living organisms is central in the analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across biomedicine. Marker […]


Continue.. CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

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

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

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

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

ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Yihe Wang, , , | Summary: Electroencephalography (EEG) has emerged as a cost-effective and efficient tool to support neurologists in the detection of Alzheimer’s Disease (AD). However, most existing approaches rely heavily on manual feature engineering or data transformation. While such techniques may provide benefits […]


Continue.. ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection

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

Kavli Affiliate: Alessandra Lanzara | 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 changes of screening through doping or gating, here we demonstrate that screening can also drive […]


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

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

Kavli Affiliate: Austin 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 freedom or negative differential resistance are of keen interest. While diamond has been […]


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

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

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

FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

Kavli Affiliate: Jing Wang | First 5 Authors: Jiasong Feng, Jiasong Feng, , , | Summary: Synthesizing motion-rich and temporally consistent videos remains a challenge in artificial intelligence, especially when dealing with extended durations. Existing text-to-video (T2V) models commonly employ spatial cross-attention for text control, equivalently guiding different frame generations without frame-specific textual guidance. Thus, […]


Continue.. FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

Kavli Affiliate: Jing Wang | First 5 Authors: Jiasong Feng, Ao Ma, Jing Wang, Bo Cheng, Xiaodan Liang | Summary: Synthesizing motion-rich and temporally consistent videos remains a challenge in artificial intelligence, especially when dealing with extended durations. Existing text-to-video (T2V) models commonly employ spatial cross-attention for text control, equivalently guiding different frame generations without […]


Continue.. FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance