Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding

Kavli Affiliate: Wei Gao | First 5 Authors: , , , , | Summary: Large-scale image-language pretrained models, e.g., CLIP, have demonstrated remarkable proficiency in acquiring general multi-modal knowledge through web-scale image-text data. Despite the impressive performance of image-language models on various image tasks, how to effectively expand them on general video understanding remains an […]


Continue.. Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding

Model-independent extraction of form factors and $|V_{cb}|$ in $overline{B} rightarrow D ell^- overlineν_ell$ with hadronic tagging at BaBar

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: BaBar Collaboration, J. P. Lees, V. Poireau, V. Tisserand, E. Grauges | Summary: Using the entire BaBar $Upsilon(4S)$ data set, the first two-dimensional unbinned angular analysis of the semileptonic decay $overline{B} rightarrow D ell^- overline{nu}_ell$ is performed, employing hadronic reconstruction of the tag-side $B$ meson from […]


Continue.. Model-independent extraction of form factors and $|V_{cb}|$ in $overline{B} rightarrow D ell^- overlineν_ell$ with hadronic tagging at BaBar

Impact of overlapping signals on parameterized post-Newtonian coefficients in tests of gravity

Kavli Affiliate: Lijing Shao | First 5 Authors: Yixuan Dang, Ziming Wang, Dicong Liang, Lijing Shao, | Summary: Gravitational waves have been instrumental in providing deep insights into the nature of gravity. Next-generation detectors, such as the Einstein Telescope, are predicted to have a higher detection rate given the increased sensitivity and lower cut-off frequency. […]


Continue.. Impact of overlapping signals on parameterized post-Newtonian coefficients in tests of gravity

Impact of overlapping signals on parameterized post-Newtonian coefficients in tests of gravity

Kavli Affiliate: Lijing Shao | First 5 Authors: Yixuan Dang, Ziming Wang, Dicong Liang, Lijing Shao, | Summary: Gravitational waves have been instrumental in providing deep insights into the nature of gravity. Next-generation detectors, such as the Einstein Telescope, are predicted to have a higher detection rate given the increased sensitivity and lower cut-off frequency. […]


Continue.. Impact of overlapping signals on parameterized post-Newtonian coefficients in tests of gravity

Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

Kavli Affiliate: Angela Olinto | First 5 Authors: Mikhail Zotov, Dmitry Anzhiganov, Aleksandr Kryazhenkov, Dario Barghini, Matteo Battisti | Summary: Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible […]


Continue.. Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data