Probing nontensorial gravitational waves with a next-generation ground-based detector network

Kavli Affiliate: Lijing Shao | First 5 Authors: Jierui Hu, Dicong Liang, Lijing Shao, , | Summary: In General Relativity, there are only two polarizations for gravitational waves. However, up to six polarizations are possible in a generic metric theory of gravity. Therefore, measuring the polarization content of gravitational waves provides an efficient way to […]


Continue.. Probing nontensorial gravitational waves with a next-generation ground-based detector network

Probing nontensorial gravitational waves with a next-generation ground-based detector network

Kavli Affiliate: Lijing Shao | First 5 Authors: Jierui Hu, Dicong Liang, Lijing Shao, , | Summary: In General Relativity, there are only two polarizations for gravitational waves. However, up to six polarizations are possible in a generic metric theory of gravity. Therefore, measuring the polarization content of gravitational waves provides an efficient way to […]


Continue.. Probing nontensorial gravitational waves with a next-generation ground-based detector network

Elastic Interaction Energy Loss for Traffic Image Segmentation

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang, | Summary: Segmentation is a pixel-level classification of images. The accuracy and fast inference speed of image segmentation are crucial for autonomous driving safety. Fine and complex geometric objects are the most difficult but important recognition targets in traffic […]


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Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Guoqing Liu, Yang Xiang | Summary: Urban segmentation and lane detection are two important tasks for traffic scene perception. Accuracy and fast inference speed of visual perception are crucial for autonomous driving safety. Fine and complex geometric objects are the most […]


Continue.. Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception

Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception

Kavli Affiliate: Feng Yuan | First 5 Authors: Yaxin Feng, Yuan Lan, Luchan Zhang, Guoqing Liu, Yang Xiang | Summary: Urban segmentation and lane detection are two important tasks for traffic scene perception. Accuracy and fast inference speed of visual perception are crucial for autonomous driving safety. Fine and complex geometric objects are the most […]


Continue.. Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception

Prospects for detecting neutron star-white dwarf mergers with decihertz gravitational-wave observatories

Kavli Affiliate: Lijing Shao | First 5 Authors: Yacheng Kang, Chang Liu, Jin-Ping Zhu, Yong Gao, Lijing Shao | Summary: Based on different neutron star-white dwarf (NS-WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS-WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. […]


Continue.. Prospects for detecting neutron star-white dwarf mergers with decihertz gravitational-wave observatories

Prospects for detecting neutron star-white dwarf mergers with decihertz gravitational-wave observatories

Kavli Affiliate: Lijing Shao | First 5 Authors: Yacheng Kang, Chang Liu, Jin-Ping Zhu, Yong Gao, Lijing Shao | Summary: Based on different neutron star-white dwarf (NS-WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS-WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. […]


Continue.. Prospects for detecting neutron star-white dwarf mergers with decihertz gravitational-wave observatories

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

Kavli Affiliate: Jing Wang | First 5 Authors: Yunxiang Li, Bowen Jing, Xiang Feng, Zihan Li, Yongbo He | Summary: The recent developments of foundation models in computer vision, especially the Segment Anything Model (SAM), allow scalable and domain-agnostic image segmentation to serve as a general-purpose segmentation tool. In parallel, the field of medical image […]


Continue.. nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

Kavli Affiliate: Jing Wang | First 5 Authors: Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang | Summary: Automatic segmentation of medical images is crucial in modern clinical workflows. The Segment Anything Model (SAM) has emerged as a versatile tool for image segmentation without specific domain training, but it requires human prompts and […]


Continue.. nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuxiang Zhang, Zhuo Li, Jingze Lu, Wenchao Wang, Pengyuan Zhang | Summary: Current synthetic speech detection (SSD) methods perform well on certain datasets but still face issues of robustness and interpretability. A possible reason is that these methods do not analyze the deficiencies of synthetic speech. In […]


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