Zobrazeno 1 - 10
of 8 746
pro vyhledávání: '"Jaemin An"'
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
VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement
Recent text-to-video (T2V) diffusion models have demonstrated impressive generation capabilities across various domains. However, these models often generate videos that have misalignments with text prompts, especially when the prompts describe compl
Externí odkaz:
http://arxiv.org/abs/2411.15115
Autor:
Lee, Chang-Gi, Chae, Byeong-Gyu, Ro, I-Jun, Jang, Kyuseon, Woods, Eric, Ahn, Jaemin, Park, Seong Yong, Gault, Baptiste, Kim, Se-Ho
Atom probe tomography (APT) enables near atomic scale three dimensional elemental mapping through the controlled field evaporation of surface atoms triggered by the combined application of a DC voltage and either voltage or laser pulses. As the selec
Externí odkaz:
http://arxiv.org/abs/2411.10506
Document visual question answering (DocVQA) pipelines that answer questions from documents have broad applications. Existing methods focus on handling single-page documents with multi-modal language models (MLMs), or rely on text-based retrieval-augm
Externí odkaz:
http://arxiv.org/abs/2411.04952
Federated Learning (FL) is a distributed machine learning framework that trains accurate global models while preserving clients' privacy-sensitive data. However, most FL approaches assume that clients possess labeled data, which is often not the case
Externí odkaz:
http://arxiv.org/abs/2410.23227
Autor:
Kim, Sunwoo, Lee, Soo Yong, Bu, Fanchen, Kang, Shinhwan, Kim, Kyungho, Yoo, Jaemin, Shin, Kijung
Graph autoencoders (Graph-AEs) learn representations of given graphs by aiming to accurately reconstruct them. A notable application of Graph-AEs is graph-level anomaly detection (GLAD), whose objective is to identify graphs with anomalous topologica
Externí odkaz:
http://arxiv.org/abs/2410.20366
Autor:
Sohn, Hanseo, Jung, Jaewon, Park, Jaemin, Jang, Hyeongyu, Stehouwer, Lucas E. A., Esposti, Davide Degli, Scappucci, Giordano, Kim, Dohun
As quantum computing advances towards practical applications, reducing errors remains a crucial frontier for developing near-term devices. Errors in the quantum gates and quantum state readout could result in noisy circuits, which would prevent the a
Externí odkaz:
http://arxiv.org/abs/2410.10339
The process of creating training data to teach models is currently driven by humans, who manually analyze model weaknesses and plan how to create data that improves a student model. Recent approaches using LLMs as annotators reduce human effort, but
Externí odkaz:
http://arxiv.org/abs/2410.06215
Autor:
Jang, Wonjin, Kim, Jehyun, Park, Jaemin, Cho, Min-Kyun, Jang, Hyeongyu, Sim, Sangwoo, Jung, Hwanchul, Umansky, Vladimir, Kim, Dohun
Spins in solid systems can inherently serve as qubits for quantum simulation or quantum information processing. Spin qubits are usually prone to environmental magnetic field fluctuations; however, a spin qubit encoded in a decoherence-free-subspace (
Externí odkaz:
http://arxiv.org/abs/2409.19683
This paper proposes a safety-critical locomotion control framework employed for legged robots exploring through infeasible path in obstacle-rich environments. Our research focus is on achieving safe and robust locomotion where robots confront unavoid
Externí odkaz:
http://arxiv.org/abs/2409.10274