LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Changxu Cheng, Peng Wang, Cheng Da, Qi Zheng, Cong Yao | Summary: The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR) only work well on short or seen-length text, lacking […]


Continue.. LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition

Unveiling the solution to the final-parsec problem by combining milli-Hertz gravitational-wave observation and AGN survey

Kavli Affiliate: Xian Chen | First 5 Authors: Liang-Gui Zhu, Xian Chen, , , | Summary: Massive black hole binaries (MBHBs) could be the loudest gravitational-wave (GW) sources in milli-Hertz (mHz) GW band, but their dynamical evolution may stall when the black holes reach the innermost parsec of a galaxy. Such a "final-parsec problem" could […]


Continue.. Unveiling the solution to the final-parsec problem by combining milli-Hertz gravitational-wave observation and AGN survey

Addressing the final-parsec problem by combining milli-Hertz gravitational-wave observation and AGN survey

Kavli Affiliate: Xian Chen | First 5 Authors: Liang-Gui Zhu, Xian Chen, , , | Summary: Massive black hole binaries (MBHBs) are the loudest gravitational-wave (GW) sources in milli-Hertz (mHz) GW band, but their dynamical evolution may stall when the black holes reach the innermost parsec of a galaxy. Such a “final-parsec problem” could be […]


Continue.. Addressing the final-parsec problem by combining milli-Hertz gravitational-wave observation and AGN survey

TOI-332 b: a super dense Neptune found deep within the Neptunian desert

Kavli Affiliate: Robert Goeke | Summary:To date, thousands of planets have been discovered, but there are regions of the orbital parameter space that are still bare. An example is the short period and intermediate mass/radius space known as the Neptunian desert, where planets should be easy to find but discoveries remain few. This suggests unusual […]


Continue.. TOI-332 b: a super dense Neptune found deep within the Neptunian desert

TOI-332 b: a super dense Neptune found deep within the Neptunian desert

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Ares Osborn, David J. Armstrong, Jorge Fernández Fernández, Henrik Knierim, Vardan Adibekyan | Summary: To date, thousands of planets have been discovered, but there are regions of the orbital parameter space that are still bare. An example is the short period and intermediate mass/radius space known as […]


Continue.. TOI-332 b: a super dense Neptune found deep within the Neptunian desert

TOI-332 b: a super dense Neptune found deep within the Neptunian desert

Kavli Affiliate: Sara Seager | First 5 Authors: Ares Osborn, David J. Armstrong, Jorge Fernández Fernández, Henrik Knierim, Vardan Adibekyan | Summary: To date, thousands of planets have been discovered, but there are regions of the orbital parameter space that are still bare. An example is the short period and intermediate mass/radius space known as […]


Continue.. TOI-332 b: a super dense Neptune found deep within the Neptunian desert

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Liang Liu, Wenbin Zhai, Feng Wang, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]


Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Wenbin Zhai, Feng Wang, Liang Liu, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]


Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks

Kavli Affiliate: Ran Wang | First 5 Authors: Liang Liu, Wenbin Zhai, Xin Li, Youwei Ding, Wanying Lu | Summary: Unmanned Aerial Vehicle (UAV) networks are increasingly deployed in military and civilian applications, serving as critical platforms for data collection. Users frequently require aggregated statistical information derived from historical sensory data within specific spatial and […]


Continue.. ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks