Edge-cloud Collaborative Learning with Federated and Centralized Features

Kavli Affiliate: Yi Zhou | First 5 Authors: Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang | Summary: Federated learning (FL) is a popular way of edge computing that doesn’t compromise users’ privacy. Current FL paradigms assume that data only resides on the edge, while cloud servers only perform model averaging. However, in […]


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OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yunpeng Zhang, Zheng Zhu, Dalong Du | Summary: The vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy. Compared with the BEV planes, the 3D semantic occupancy further provides structural information along the vertical direction. This paper […]


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Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification

Kavli Affiliate: Yi Zhou | First 5 Authors: Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou | Summary: Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies. We established an uncertainty-inspired open-set (UIOS) model, […]


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Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification

Kavli Affiliate: Yi Zhou | First 5 Authors: Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou | Summary: Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies. We established an uncertainty-inspired open-set (UIOS) model, […]


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Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]


Continue.. Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]


Continue.. Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]


Continue.. Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes

Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]


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Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo

Kavli Affiliate: Biao Huang | Authors: Biao Huang, Jipeng Yan, Megan Morris, Victoria Sinnett, Navita Somaiah, Meng-Xing Tang | Summary: Super-resolution ultrasound can image microvascular structure and flow at sub-wave-diffraction resolution based on localising and tracking microbubbles. Currently, tracking microbubbles accurately under limited imaging frame rates and high microbubble concentrations remains a challenge, especially under […]


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A large area 100 channel Picosec Micromegas detector with sub 20 ps time resolution

Kavli Affiliate: Yi Zhou | First 5 Authors: Antonija Utrobicic, Yannis Angelis, Stephan Aune, Jonathan Bortfeldt, Florian Brunbauer | Summary: The PICOSEC Micromegas precise timing detector is based on a Cherenkov radiator coupled to a semi-transparent photocathode and a Micromegas amplification structure. The first proof of concept single-channel small area prototype was able to achieve […]


Continue.. A large area 100 channel Picosec Micromegas detector with sub 20 ps time resolution