Zobrazeno 1 - 10
of 1 700
pro vyhledávání: '"Kim Minjung"'
Autor:
Mai Ngoc Luu, Atsuko Imoto, Yoshimi Matsuo, Nguyen Tien Huy, Ahmad Qarawi, Shamael Thabit Mohammed Alhady, Le Van Truong, Ryuji Yoshino, Nguyen Tran Minh Duc, Kozue Tabei, Yixiao Lu, Manmeet Kaur Singh, Mai Phuong Truong, Shyam Prakash Dumre, Ian Christopher Naungayan Rocha, I-Chun Hung, Akane Fudo, Miho Sato, Sajog Kansakar, Akiko Tsukamoto, Aiko Komatsu, Guoxi Cai, Kazuhiko Moji, Thanawat Khongyot, Saruveish Mogan, Souksavath Soukdavone, Endah Dwi Hartuti, Kounnavong Thidatheb, Shiho Honda, Hyunjae Woo, Nitu Lama, Vy Thi Nhat Huynh, Huynh Le Anh Khoa, Kirellos Said Abbas, Fatma A Monib, Hoda Aly Mohamed Omran, Chiristine Samuel Rezq, Mostafa Shehata Qatora, Sze Jia Ng, Graca Jaqueline Vanessa Morena, Adriana Viola Miranda, Minh-Trang Ngo Huynh, Junko Ota, Kim Minjung, Jaemin An, Latdavanh Vorlasane, Kesshinee Gunasegaran, Fazureen Zulkefli, Belen de Jesús Lima Girón, Punita Gauchan Bhattachan, Renu Bhandari Dumre, Kishor Pandey, Sarina Yamashita, Aden Kay Celis Seposo, Jayson Zabala, Adrián Riva-Moscoso, Joyce Nicole Pineda Ordóñez, Suriyon Uitrakul, Fortunato S Principe-Meneses, Kadek Agus Surya Dila
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0280144 (2024)
IntroductionIn the context of collective efforts taken in Japan to control the spread of COVID-19, the state of emergency and social distancing have caused a negative impact on the mental health of all residents, including foreign communities in Japa
Externí odkaz:
https://doaj.org/article/870f9fa6cd2e4fc89b7256450f39c66e
Neural time-series analysis has traditionally focused on modeling data in the time domain, often with some approaches incorporating equivalent Fourier domain representations as auxiliary spectral features. In this work, we shift the main focus to fre
Externí odkaz:
http://arxiv.org/abs/2410.04703
3D dense captioning is a task to localize objects in a 3D scene and generate descriptive sentences for each object. Recent approaches in 3D dense captioning have adopted transformer encoder-decoder frameworks from object detection to build an end-to-
Externí odkaz:
http://arxiv.org/abs/2408.07648
3D dense captioning is a task involving the localization of objects and the generation of descriptions for each object in a 3D scene. Recent approaches have attempted to incorporate contextual information by modeling relationships with object pairs o
Externí odkaz:
http://arxiv.org/abs/2408.06662
Autor:
Kim, Minjung
In ultra-peripheral collisions (UPCs) of relativistic heavy ions, photoproduction occurs when a photon emitted from one nucleus interacts with the other nucleus from the opposing beam, producing particles in the final state. Measurements of \KK photo
Externí odkaz:
http://arxiv.org/abs/2405.02949
Multi-agent motion prediction is a crucial concern in autonomous driving, yet it remains a challenge owing to the ambiguous intentions of dynamic agents and their intricate interactions. Existing studies have attempted to capture interactions between
Externí odkaz:
http://arxiv.org/abs/2401.16189
Visual localization is the task of estimating a 6-DoF camera pose of a query image within a provided 3D reference map. Thanks to recent advances in various 3D sensors, 3D point clouds are becoming a more accurate and affordable option for building th
Externí odkaz:
http://arxiv.org/abs/2309.07471
The time-series anomaly detection is one of the most fundamental tasks for time-series. Unlike the time-series forecasting and classification, the time-series anomaly detection typically requires unsupervised (or self-supervised) training since colle
Externí odkaz:
http://arxiv.org/abs/2308.15069
Autor:
Sweger, Zachary, Klein, Spencer R., Ji, Yuanjing, Kim, Minjung, Yoo, Saeahram, Zeng, Ziyuan, Cebra, Daniel, Dong, Xin
High-energy backward ($u$-channel) reactions can involve very large momentum transfers to the target baryons, shifting them by many units of rapidity. These reactions are difficult to understand in conventional models in which baryon number is carrie
Externí odkaz:
http://arxiv.org/abs/2308.10478
Score-based generative models (SGMs) are generative models that are in the spotlight these days. Time-series frequently occurs in our daily life, e.g., stock data, climate data, and so on. Especially, time-series forecasting and classification are po
Externí odkaz:
http://arxiv.org/abs/2301.08518