Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion

Kavli Affiliate: Jing Wang | First 5 Authors: Yutao Jin, Bin Liu, Jing Wang, , | Summary: The application of video captioning models aims at translating the content of videos by using accurate natural language. Due to the complex nature inbetween object interaction in the video, the comprehensive understanding of spatio-temporal relations of objects remains […]


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EOS-dependent millihertz quasi-periodic oscillation in low-mass X-ray binary

Kavli Affiliate: Renxin Xu | First 5 Authors: Helei Liu, Yong Gao, Zhaosheng Li, Akira Dohi, Weiyang Wang | Summary: We studied the frequency and critical mass accretion rate of millihertz quasi-periodic oscillations (mHz QPOs) using a one-zone X-ray burst model. The surface gravity is specified by two kinds of equation of states: neutron star […]


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Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jiawei Li, Jiansheng Chen, Jinyuan Liu, Huimin Ma, | Summary: Infrared and visible image fusion has gradually proved to be a vital fork in the field of multi-modality imaging technologies. In recent developments, researchers not only focus on the quality of fused images but also evaluate their […]


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Superradiant instabilities of massive bosons around exotic compact objects

Kavli Affiliate: Lijing Shao | First 5 Authors: Lihang Zhou, Richard Brito, Zhan-Feng Mai, Lijing Shao, | Summary: Superradiantly unstable ultralight particles around a classical rotating black hole (BH) can form an exponentially growing bosonic cloud, which have been shown to provide an astrophysical probe to detect ultralight particles and constrain their mass. However, the […]


Continue.. Superradiant instabilities of massive bosons around exotic compact objects

Superradiant instabilities of massive bosons around exotic compact objects

Kavli Affiliate: Lijing Shao | First 5 Authors: Lihang Zhou, Richard Brito, Zhan-Feng Mai, Lijing Shao, | Summary: Superradiantly unstable ultralight particles around a classical rotating black hole (BH) can form an exponentially growing bosonic cloud, which have been shown to provide an astrophysical probe to detect ultralight particles and constrain their mass. However, the […]


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Fractional revival on semi-Cayley graphs over abelian groups

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Ligong Wang, Xiaogang Liu, , | Summary: In this paper, we investigate the existence of fractional revival on semi-Cayley graphs over finite abelian groups. We give some necessary and sufficient conditions for semi-Cayley graphs over finite abelian groups admitting fractional revival. We also show that […]


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ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo

Kavli Affiliate: Jing Wang | First 5 Authors: Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang | Summary: Compared to the multi-stage self-supervised multi-view stereo (MVS) method, the end-to-end (E2E) approach has received more attention due to its concise and efficient training pipeline. Recent E2E self-supervised MVS approaches have integrated third-party models (such […]


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BASS XXXV. The $M_rm{BH}$-$σ_rm{star}$ Relation of 105-Month Swift-BAT Type 1 AGNs

Kavli Affiliate: Claudio Ricci | First 5 Authors: Turgay Caglar, Michael J. Koss, Leonard Burtscher, Benny Trakhtenbrot, M. Kiyami Erdim | Summary: We present two independent measurements of stellar velocity dispersions ( $sigma_rm{star}$ ) from the Ca,H+K & Mg,textsc{i} region (3880–5550~AA) and the Calcium Triplet region (CaT, 8350–8750~AA) for 173 hard X-ray-selected Type 1 AGNs […]


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Exploiting Multi-Label Correlation in Label Distribution Learning

Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou jing wang yuheng jia xin geng, , , , | Summary: Label Distribution Learning (LDL) is a novel machine learning paradigm that assigns label distribution to each instance. Many LDL methods proposed to leverage label correlation in the learning process to solve the exponential-sized output […]


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