Zobrazeno 1 - 10
of 42 515
pro vyhledávání: '"P. A. Hsiao"'
Autor:
Huang, Chien-yu, Chen, Wei-Chih, Yang, Shu-wen, Liu, Andy T., Li, Chen-An, Lin, Yu-Xiang, Tseng, Wei-Cheng, Diwan, Anuj, Shih, Yi-Jen, Shi, Jiatong, Chen, William, Chen, Xuanjun, Hsiao, Chi-Yuan, Peng, Puyuan, Wang, Shih-Heng, Kuan, Chun-Yi, Lu, Ke-Han, Chang, Kai-Wei, Yang, Chih-Kai, Ritter-Gutierrez, Fabian, Chuang, Ming To, Huang, Kuan-Po, Arora, Siddhant, Lin, You-Kuan, Yeo, Eunjung, Chang, Kalvin, Chien, Chung-Ming, Choi, Kwanghee, Hsieh, Cheng-Hsiu, Lin, Yi-Cheng, Yu, Chee-En, Chiu, I-Hsiang, Guimarães, Heitor R., Han, Jionghao, Lin, Tzu-Quan, Lin, Tzu-Yuan, Chang, Homu, Chang, Ting-Wu, Chen, Chun Wei, Chen, Shou-Jen, Chen, Yu-Hua, Cheng, Hsi-Chun, Dhawan, Kunal, Fang, Jia-Lin, Fang, Shi-Xin, Chiang, Kuan-Yu Fang, Fu, Chi An, Hsiao, Hsien-Fu, Hsu, Ching Yu, Huang, Shao-Syuan, Wei, Lee Chen, Lin, Hsi-Che, Lin, Hsuan-Hao, Lin, Hsuan-Ting, Lin, Jian-Ren, Liu, Ting-Chun, Lu, Li-Chun, Pai, Tsung-Min, Pasad, Ankita, Kuan, Shih-Yun Shan, Shon, Suwon, Tang, Yuxun, Tsai, Yun-Shao, Wei, Jui-Chiang, Wei, Tzu-Chieh, Wu, Chengxi, Wu, Dien-Ruei, Yang, Chao-Han Huck, Yang, Chieh-Chi, Yip, Jia Qi, Yuan, Shao-Xiang, Noroozi, Vahid, Chen, Zhehuai, Wu, Haibin, Livescu, Karen, Harwath, David, Watanabe, Shinji, Lee, Hung-yi
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language i
Externí odkaz:
http://arxiv.org/abs/2411.05361
Autor:
Mobbs, Rowena, Nasrallah, Fatima, To, Xuan Vinh, Magnussen, John, Batchelor, Jennifer, Hsiao, Edward, Walterfang, Mark
Objectives: This study examined whether currently existing clinical structural magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (18FDG-PET) capabilities and board-certified radiologists' reports and interpretations
Externí odkaz:
http://arxiv.org/abs/2411.04334
Autor:
Bao, Rina, Darzi, Erfan, He, Sheng, Hsiao, Chuan-Heng, Hussain, Mohammad Arafat, Li, Jingpeng, Bjornerud, Atle, Grant, Ellen, Ou, Yangming
Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high accuracy. These models offer versatile, one-for-many or one-for-all solut
Externí odkaz:
http://arxiv.org/abs/2411.02745
Autor:
Flemotomos, Nikolaos, Hsiao, Roger, Swietojanski, Pawel, Hori, Takaaki, Can, Dogan, Zhuang, Xiaodan
Neural contextual biasing allows speech recognition models to leverage contextually relevant information, leading to improved transcription accuracy. However, the biasing mechanism is typically based on a cross-attention module between the audio and
Externí odkaz:
http://arxiv.org/abs/2411.00664
Autor:
Galasso, Andrea, Hsiao, Chin-Yu
Consider a compact torsion free CR manifold $X$ and assume that $X$ admits a compact CR Lie group action $G$. Let $L$ be a $G$-equivariant rigid CR line bundle over $X$. It seems natural to consider the space of $G$-invariant CR sections in the high
Externí odkaz:
http://arxiv.org/abs/2411.00478
Most learned B-frame codecs with hierarchical temporal prediction suffer from the domain shift issue caused by the discrepancy in the Group-of-Pictures (GOP) size used for training and test. As such, the motion estimation network may fail to predict
Externí odkaz:
http://arxiv.org/abs/2410.21763
In this paper, we first show that current learning-based video codecs, specifically the SSF codec, are not suitable for real-world applications due to the mismatch between the encoder and decoder caused by floating-point round-off errors. To address
Externí odkaz:
http://arxiv.org/abs/2410.20145
Autor:
Cagas, William, Ko, Chan, Hsiao, Blake, Grandhi, Shryuk, Bhattacharya, Rishi, Zhu, Kevin, Lam, Michael
The proliferation of machine learning models in diverse clinical applications has led to a growing need for high-fidelity, medical image training data. Such data is often scarce due to cost constraints and privacy concerns. Alleviating this burden, m
Externí odkaz:
http://arxiv.org/abs/2410.17959
Autor:
Chen, Mandy C., Chen, Hsiao-Wen, Rauch, Michael, Vayner, Andrey, Liu, Weizhe, Rupke, David S. N., Greene, Jenny E., Zakamska, Nadia L., Wylezalek, Dominika, Liu, Guilin, Veilleux, Sylvain, Nesvadba, Nicole P. H., Bertemes, Caroline
In this Letter, we investigate the turbulence and energy injection in the extended nebulae surrounding two luminous obscured quasars, WISEA J100211.29$+$013706.7 ($z=1.5933$) and SDSS J165202.64$+$172852.3 ($z=2.9489$). Utilizing high-resolution data
Externí odkaz:
http://arxiv.org/abs/2410.14785
Autor:
Liu, Weizhe, Veilleux, Sylvain, Sankar, Swetha, Rupke, David S. N., Zakamska, Nadia L., Wylezalek, Dominika, Vayner, Andrey, Bertemes, Caroline, Chen, Yu-Ching, Ishikawa, Yuzo, Greene, Jenny E., Heckman, Timothy, Liu, Guilin, Chen, Hsiao-Wen, Lutz, Dieter, Johnson, Sean D., Nesvadba, Nicole P. H., Ogle, Patrick, Diachenko, Nadiia, Goulding, Andy D., Hainline, Kevin N., Hamann, Fred, Lim, Hui Xian Grace, Lützgendorf, Nora, Mainieri, Vincenzo, McCrory, Ryan, Murphree, Grey, Sturm, Eckhard, Whitesell, Lillian
Quasar feedback may play a key role in the evolution of massive galaxies. The dust-reddened quasar, F2M110648.35$+$480712 at $z = 0.4352$ is one of the few cases at its redshift that exhibits powerful quasar feedback through bipolar outflows. Our new
Externí odkaz:
http://arxiv.org/abs/2410.14291