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of 3 213
pro vyhledávání: '"HU, Kun"'
Masked point modeling methods have recently achieved great success in self-supervised learning for point cloud data. However, these methods are sensitive to rotations and often exhibit sharp performance drops when encountering rotational variations.
Externí odkaz:
http://arxiv.org/abs/2409.00353
Extreme Multimodal Summarization with Multimodal Output (XMSMO) becomes an attractive summarization approach by integrating various types of information to create extremely concise yet informative summaries for individual modalities. Existing methods
Externí odkaz:
http://arxiv.org/abs/2408.15829
Autor:
Wu, Wenhua, Hu, Kun, Yue, Wenxi, Li, Wei, Simic, Milena, Li, Changyang, Xiang, Wei, Wang, Zhiyong
Knee osteoarthritis (KOA), a common form of arthritis that causes physical disability, has become increasingly prevalent in society. Employing computer-aided techniques to automatically assess the severity and progression of KOA can greatly benefit K
Externí odkaz:
http://arxiv.org/abs/2407.21381
Radio frequency (RF) signals have been proved to be flexible for human silhouette segmentation (HSS) under complex environments. Existing studies are mainly based on a one-shot approach, which lacks a coherent projection ability from the RF domain. A
Externí odkaz:
http://arxiv.org/abs/2407.19244
Autor:
Chen-Hu, Kun, Popovski, Petar
Publikováno v:
IEEE Transactions on Communications 2024
A reconfigurable intelligent surface (RIS) is commonly made of low-cost passive and reflective meta-materials with excellent beam steering capabilities. It is applied to enhance wireless communication systems as a customizable signal reflector. Howev
Externí odkaz:
http://arxiv.org/abs/2407.04905
Autor:
Steiner, James F., Nathan, Edward, Hu, Kun, Krawczynski, Henric, Dovciak, Michal, Veledina, Alexandra, Muleri, Fabio, Svoboda, Jiri, Alabarta, Kevin, Parra, Maxime, Bhargava, Yash, Matt, Giorgio, Poutanen, Juri, Petrucci, Pierre-Olivier, Tennant, Allyn F., Baglio, M. Cristina, Baldini, Luca, Barnier, Samuel, Bhattacharyya, Sudip, Bianchi, Stefano, Brigitte, Maimouna, Cabezas, Mauricio, Cangemi, Floriane, Capitanio, Fiamma, Casey, Jacob, Cavero, Nicole Rodriguez, Castellano, Simone, Cavazzuti, Elisabetta, Chun, Sohee, Churazov, Eugene, Costa, Enrico, Di Lalla, Niccolo, Di Marco, Alessandro, Egron, Elise, Ewing, Melissa, Fabiani, Sergio, Garcia, Javier A., Green, David A., Grinberg, Victoria, Hadrava, Petr, Ingram, Adam, Kaaret, Philip, Kislat, Fabian, Kitaguchi, Takao, Kravtsov, Vadim, Kubatova, Brankica, La Monaca, Fabio, Latronico, Luca, Loktev, Vladislav, Malacaria, Christian, Marin, Frederic, Marinucci, Andrea, Maryeva, Olga, Mastroserio, Guglielmo, Mizuno, Tsunefumi, Negro, Michela, Omodei, Nicola, Podgorny, Jakub, Rankin, John, Ratheesh, Ajay, Rhodes, Lauren, Russell, David M., Slechta, Miroslav, Soffitta, Paolo, Spooner, Sean, Suleimanov, Valery, Tombesi, Francesco, Trushkin, Sergei A., Weisskopf, Martin C., Zane, Silvia, Zdziarski, Andrzej A., Zhang, Sixuan, Zhang, Wenda, Zhou, Menglei, Agudo, Ivan, Antonelli, Lucio A., Bachetti, Matteo, Baumgartner, Wayne H., Bellazzini, Ronaldo, Bongiorno, Stephen D., Bonino, Raffaella, Brez, Alessandro, Bucciantini, Niccolo, Chen, Chien-Ting, Ciprini, Stefano, De Rosa, Alessandra, Del Monte, Ettore, Di Gesu, Laura, Donnarumma, Immacolata, Doroshenko, Victor, Ehlert, Steven R., Enoto, Teruaki, Evangelista, Yuri, Ferrazzoli, Riccardo, Gunji, Shuichi, Hayashida, Kiyoshi, Heyl, Jeremy, Iwakiri, Wataru, Jorstad, Svetlana G., Karas, Vladimir, Kolodziejczak, Jeffery J., Liodakis, Ioannis, Maldera, Simone, Manfreda, Alberto, Marscher, Alan P., Marshall, Herman L., Massaro, Francesco, Mitsuishi, Ikuyuki, Ng, Chi-Yung, O'Dell, Stephen L., Oppedisano, Chiara, Papitto, Alessandro, Pavlov, George G., Peirson, Abel L., Perri, Matteo, Pesce-Rollins, Melissa, Pilia, Maura, Possenti, Andrea, Puccetti, Simonetta, Ramsey, Brian D., Roberts, Oliver J., Romani, Roger W., Sgro, Carmelo, Slane, Patrick, Spandre, Gloria, Swartz, Douglas A., Tamagawa, Toru, Tavecchio, Fabrizio, Taverna, Roberto, Tawara, Yuzuru, Thomas, Nicholas E., Trois, Alessio, Tsygankov, Sergey S., Turolla, Roberto, Vink, Jacco, Wu, Kinwah, Xie, Fei
We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May-June. Companion multiwavelength data during the campaign are likewise shown. The 2-8 keV X-ray
Externí odkaz:
http://arxiv.org/abs/2406.12014
In the character animation field, modern supervised keyframe interpolation models have demonstrated exceptional performance in constructing natural human motions from sparse pose definitions. As supervised models, large motion datasets are necessary
Externí odkaz:
http://arxiv.org/abs/2405.07444
Autor:
Svoboda, Jiří, Dovčiak, Michal, Steiner, James F., Kaaret, Philip, Podgorný, Jakub, Poutanen, Juri, Veledina, Alexandra, Muleri, Fabio, Taverna, Roberto, Krawczynski, Henric, Brigitte, Maïmouna, Datta, Sudeb Ranjan, Bianchi, Stefano, Segura, Noel Castro, García, Javier A., Ingram, Adam, Matt, Giorgio, Muñoz-Darias, Teo, Nathan, Edward, Weisskopf, Martin C., Altamirano, Diego, Baldini, Luca, Bollemeijer, Niek, Capitanio, Fiamma, Egron, Elise, Emami, Razieh, Hu, Kun, Marra, Lorenzo, Mastroserio, Guglielmo, Negro, Michela, Petrucci, Pierre-Olivier, Ratheesh, Ajay, Cavero, Nicole Rodriguez, Soffitta, Paolo, Tombesi, Francesco, Yang, Yi-Jung, Zhang, Yuexin
Publikováno v:
The Astrophysical Journal Letters, 2024, 966, L35
Black-hole X-ray binaries exhibit different spectral and timing properties in different accretion states. The X-ray outburst of a recently discovered and extraordinarily bright source, Swift$~$J1727.8$-$1613, has enabled the first investigation of ho
Externí odkaz:
http://arxiv.org/abs/2403.04689
Publikováno v:
Drones 2024, 8, 325
This paper studies improving the detector performance which considers the activity state (AS) temporal correlation of the user equipments (UEs) in the time domain under the uplink grant-free non-orthogonal multiple access (GF-NOMA) system. The Bernou
Externí odkaz:
http://arxiv.org/abs/2401.14611
Autor:
Yue, Wenxi, Zhang, Jing, Hu, Kun, Wu, Qiuxia, Ge, Zongyuan, Xia, Yong, Luo, Jiebo, Wang, Zhiyong
The Segment Anything Model (SAM) exhibits promise in generic object segmentation and offers potential for various applications. Existing methods have applied SAM to surgical instrument segmentation (SIS) by tuning SAM-based frameworks with surgical d
Externí odkaz:
http://arxiv.org/abs/2312.14481