Zobrazeno 1 - 10
of 88 691
pro vyhledávání: '"So, Kin"'
Autor:
Zuo, Yushen, Xiao, Jun, Chan, Kin-Chung, Dong, Rongkang, Yang, Cuixin, He, Zongqi, Xie, Hao, Lam, Kin-Man
The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applying 2D style transfer methods to 3D scenes often fails to preserve the
Externí odkaz:
http://arxiv.org/abs/2411.10130
Autor:
Nazarczuk, Michal, Catley-Chandar, Sibi, Tanay, Thomas, Shaw, Richard, Pérez-Pellitero, Eduardo, Timofte, Radu, Yan, Xing, Wang, Pan, Guo, Yali, Wu, Yongxin, Cai, Youcheng, Yang, Yanan, Li, Junting, Zhou, Yanghong, Mok, P. Y., He, Zongqi, Xiao, Zhe, Chan, Kin-Chung, Goshu, Hana Lebeta, Yang, Cuixin, Dong, Rongkang, Xiao, Jun, Lam, Kin-Man, Hao, Jiayao, Gao, Qiong, Zu, Yanyan, Zhang, Junpei, Jiao, Licheng, Liu, Xu, Purohit, Kuldeep
This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript focuses on the competition set-up, the proposed methods and their resp
Externí odkaz:
http://arxiv.org/abs/2409.15045
Autor:
Jiang, Yi, Petralanda, Urko, Skorupskii, Grigorii, Xu, Qiaoling, Pi, Hanqi, Călugăru, Dumitru, Hu, Haoyu, Xie, Jiaze, Mustaf, Rose Albu, Höhn, Peter, Haase, Vicky, Vergniory, Maia G., Claassen, Martin, Elcoro, Luis, Regnault, Nicolas, Shan, Jie, Mak, Kin Fai, Efetov, Dmitri K., Morosan, Emilia, Kennes, Dante M., Rubio, Angel, Xian, Lede, Felser, Claudia, Schoop, Leslie M., Bernevig, B. Andrei
The study of twisted two-dimensional (2D) materials, where twisting layers create moir\'e superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene
Externí odkaz:
http://arxiv.org/abs/2411.09741
We present an efficient implementation of the random phase approximation (RPA) for molecular systems within the domain-based local pair natural orbital (DLPNO) framework. With optimized parameters, DLPNO-RPA achieves approximately 99.9% accuracy in t
Externí odkaz:
http://arxiv.org/abs/2411.07352
Autor:
Ahmad, Ibrahim Said, Anastasopoulos, Antonios, Bojar, Ondřej, Borg, Claudia, Carpuat, Marine, Cattoni, Roldano, Cettolo, Mauro, Chen, William, Dong, Qianqian, Federico, Marcello, Haddow, Barry, Javorský, Dávid, Krubiński, Mateusz, Lam, Tsz Kin, Ma, Xutai, Mathur, Prashant, Matusov, Evgeny, Maurya, Chandresh, McCrae, John, Murray, Kenton, Nakamura, Satoshi, Negri, Matteo, Niehues, Jan, Niu, Xing, Ojha, Atul Kr., Ortega, John, Papi, Sara, Polák, Peter, Pospíšil, Adam, Pecina, Pavel, Salesky, Elizabeth, Sethiya, Nivedita, Sarkar, Balaram, Shi, Jiatong, Sikasote, Claytone, Sperber, Matthias, Stüker, Sebastian, Sudoh, Katsuhito, Thompson, Brian, Turchi, Marco, Waibel, Alex, Watanabe, Shinji, Wilken, Patrick, Zemánek, Petr, Zevallos, Rodolfo
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech t
Externí odkaz:
http://arxiv.org/abs/2411.05088
Autor:
Wolff, Malcolm, Olivares, Kin G., Oreshkin, Boris, Ruan, Sunny, Yang, Sitan, Katoch, Abhinav, Ramasubramanian, Shankar, Zhang, Youxin, Mahoney, Michael W., Efimov, Dmitry, Quenneville-Bélair, Vincent
Publikováno v:
In 31st Conference on Neural Information Processing In 38th Conference on Neural Information Processing Systems NIPS 2017, Time Series in the Age of Large Models Workshop, 2024
Demand forecasting faces challenges induced by Peak Events (PEs) corresponding to special periods such as promotions and holidays. Peak events create significant spikes in demand followed by demand ramp down periods. Neural networks like MQCNN and MQ
Externí odkaz:
http://arxiv.org/abs/2411.05852
Autor:
Chen, Jielun, Chan, Garnet Kin-Lic
We describe how to use quantum linear algebra to simulate a physically realistic model of disordered non-interacting electrons on exponentially many lattice sites. The physics of disordered electrons outside of one dimension challenges classical comp
Externí odkaz:
http://arxiv.org/abs/2411.00434
Deep learning approaches have been widely adopted for precipitation nowcasting in recent years. Previous studies mainly focus on proposing new model architectures to improve pixel-wise metrics. However, they frequently result in blurry predictions wh
Externí odkaz:
http://arxiv.org/abs/2410.23159
Autor:
Huang, Bevin, Arnault, Ethan G., Jung, Woochan, Fried, Caleb, Russell, B. Jordan, Watanabe, Kenji, Taniguchi, Takashi, Henriksen, Erik A., Englund, Dirk, Lee, Gil-Ho, Fong, Kin Chun
Single photon detectors (SPDs) are essential technology in quantum science, quantum network, biology, and advanced imaging. To detect the small quantum of energy carried in a photon, conventional SPDs rely on energy excitation across either a semicon
Externí odkaz:
http://arxiv.org/abs/2410.22433
We investigate the realizability of balanced functions on tropical curves, establishing new sufficient criteria for superabundant functions on genus two curves, analogous to the well-spacedness condition in genus one. We find that realizability is se
Externí odkaz:
http://arxiv.org/abs/2410.20831