Zobrazeno 1 - 10
of 19 969
pro vyhledávání: '"Lin, Chih"'
Autor:
Ripa, Jakub, Dafcikova, Marianna, Kosik, Pavel, Münz, Filip, Ohno, Masanori, Galgoczi, Gabor, Werner, Norbert, Pal, Andras, Meszaros, Laszlo, Csak, Balazs, Fukazawa, Yasushi, Takahashi, Hiromitsu, Mizuno, Tsunefumi, Nakazawa, Kazuhiro, Odaka, Hirokazu, Ichinohe, Yuto, Kapus, Jakub, Hudec, Jan, Frajt, Marcel, Rezenov, Maksim, Daniel, Vladimir, Svoboda, Petr, Dudas, Juraj, Sabol, Martin, Laszlo, Robert, Koleda, Martin, Duriskova, Michaela, Szakszonova, Lea, Kolar, Martin, Husarikova, Nikola, Breuer, Jean-Paul, Hroch, Filip, Vitek, Tomas, Vertat, Ivo, Urbanec, Tomas, Povalac, Ales, Kasal, Miroslav, Hanak, Peter, smelko, Miroslav, Topinka, Martin, Chang, Hsiang-Kuang, Liu, Tsung-Che, Lin, Chih-Hsun, Hu, Chin-Ping, Tsao, Che-Chih
It is well known that silicon photomultipliers (SiPMs) are prone to radiation damage. With the increasing popularity of SiPMs among new spaceborne missions, especially on CubeSats, it is of paramount importance to characterize their performance in sp
Externí odkaz:
http://arxiv.org/abs/2411.00607
Extreme multi-label classification (XMC) aims to identify relevant subsets from numerous labels. Among the various approaches for XMC, tree-based linear models are effective due to their superior efficiency and simplicity. However, the space complexi
Externí odkaz:
http://arxiv.org/abs/2410.09554
Autor:
Huang, Chien-You, Chang, Hsiang-Kuang, Lin, Chih-Hsun, Tsao, Che-Chih, Hu, Chin-Ping, Chang, Hao-Min, Chen, Yan-Fu, Feng, An-Hsuan, Huang, Yi-Wen, Lin, Tzu-Hsuan, Tsao, Yi-Ning, Wu, Chih-En, Wu, Chun-Wei
The Gamma-ray Transients Monitor (GTM) on board the Formosat-8B (FS-8B) satellite is designed to detect and localize Gamma-Ray Bursts (GRBs). By utilizing 2+2 CITIROC chips to manipulate 4+4 detectors, which are composed of GAGG(Ce) scintillators cou
Externí odkaz:
http://arxiv.org/abs/2410.04827
Autor:
Lin, Chih-Yu, Liang, Jin-Wei
Vehicle environmental awareness is a crucial issue in improving road safety. Through a variety of sensors and vehicle-to-vehicle communication, vehicles can collect a wealth of data. However, to make these data useful, sensor data must be integrated
Externí odkaz:
http://arxiv.org/abs/2408.12769
Autor:
Ho, Yuan-Hao, Cheng, Jen-Hao, Kuan, Sheng Yao, Jiang, Zhongyu, Chai, Wenhao, Huang, Hsiang-Wei, Lin, Chih-Lung, Hwang, Jenq-Neng
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applications due to privacy concerns. In contrast, radar-based HPE methods emer
Externí odkaz:
http://arxiv.org/abs/2407.13930
Autor:
Nuha, Ulin, Lin, Chih-Hsueh
Several machine learning schemes have attempted to perform the detection of spam messages. However, those schemes mostly require a huge amount of labeled data. The existing techniques addressing the lack of data availability have issues with effectiv
Externí odkaz:
http://arxiv.org/abs/2407.04990
While large language models (LLMs) such as Llama-2 or GPT-4 have shown impressive zero-shot performance, fine-tuning is still necessary to enhance their performance for customized datasets, domain-specific tasks, or other private needs. However, fine
Externí odkaz:
http://arxiv.org/abs/2405.16833
Autor:
Chen, Lei, Gao, Xinghang, Chao, Fei, Chang, Xiang, Lin, Chih Min, Gao, Xingen, Lin, Shaopeng, Zhang, Hongyi, Lin, Juqiang
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhancement in their performance often arises from an increase in the complexit
Externí odkaz:
http://arxiv.org/abs/2404.07847
Automatic differentiation is a key component in deep learning. This topic is well studied and excellent surveys such as Baydin et al. (2018) have been available to clearly describe the basic concepts. Further, sophisticated implementations of automat
Externí odkaz:
http://arxiv.org/abs/2402.16020
Autor:
Lin, Chih-Hao, Huang, Jia-Bin, Li, Zhengqin, Dong, Zhao, Richardt, Christian, Li, Tuotuo, Zollhöfer, Michael, Kopf, Johannes, Wang, Shenlong, Kim, Changil
Inverse rendering seeks to recover 3D geometry, surface material, and lighting from captured images, enabling advanced applications such as novel-view synthesis, relighting, and virtual object insertion. However, most existing techniques rely on high
Externí odkaz:
http://arxiv.org/abs/2401.12977