VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


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VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


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JWST Early Release Science Program TEMPLATES: Targeting Extremely Magnified Panchromatic Lensed Arcs and their Extended Star formation

Kavli Affiliate: Michael D. Gladders | First 5 Authors: Jane R. Rigby, Joaquin D. Vieira, Kedar A. Phadke, Taylor A. Hutchison, Brian Welch | Summary: This paper gives an overview of TEMPLATES, a JWST Early Release Science program that targeted four extremely bright, gravitationally lensed galaxies: two extremely dusty, two with low attenuation, as templates […]


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ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang, | Summary: The task of lane detection involves identifying the boundaries of driving areas in real-time. Recognizing lanes with variable and complex geometric structures remains a challenge. In this paper, we explore a novel and flexible way of implicit […]


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ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang, | Summary: The task of lane detection involves identifying the boundaries of driving areas in real-time. Recognizing lanes with variable and complex geometric structures remains a challenge. In this paper, we explore a novel and flexible way of implicit […]


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ElasticLaneNet: A Geometry-Flexible Approach for Lane Detection

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang, | Summary: The task of lane detection involves identifying the boundaries of driving areas. Recognizing lanes with complex and variable geometric structures remains a challenge. In this paper, we introduce a new lane detection framework named ElasticLaneNet (Elastic-interaction-energy guided […]


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Acute Neuropixels recordings in the marmoset monkey

Kavli Affiliate: John Reynolds | Authors: Nicholas M Dotson, Zachary W Davis, Patrick Jendritza and John H Reynolds | Summary: High-density linear probes, like Neuropixels, provide an unprecedented opportunity to understand how neural populations within specific laminar compartments contribute to behavior. Marmoset monkeys, unlike macaque monkeys, have a lissencephalic (smooth) cortex that enables recording perpendicular […]


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CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


Continue.. CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


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Secret extraction attacks against obfuscated IQP circuits

Kavli Affiliate: David Gross | First 5 Authors: David Gross, Dominik Hangleiter, , , | Summary: Quantum computing devices can now perform sampling tasks which, according to complexity-theoretic and numerical evidence, are beyond the reach of classical computers. This raises the question of how one can efficiently verify that a quantum computer operating in this […]


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