Zobrazeno 1 - 10
of 88 736
pro vyhledávání: '"Kin A"'
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:
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:
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
The accurate prediction of solvation free energy is of significant importance as it governs the behavior of solutes in solution. In this work, we apply a variety of machine learning techniques to predict and analyze the alchemical free energy of smal
Externí odkaz:
http://arxiv.org/abs/2411.05019
Current image watermarking methods are vulnerable to advanced image editing techniques enabled by large-scale text-to-image models. These models can distort embedded watermarks during editing, posing significant challenges to copyright protection. In
Externí odkaz:
http://arxiv.org/abs/2410.18775
We propose a novel deep learning approach to nonparametric statistical inference for the conditional hazard function of survival time with right-censored data. We use a deep neural network (DNN) to approximate the logarithm of a conditional hazard fu
Externí odkaz:
http://arxiv.org/abs/2410.18021
Autor:
Yang, Hao-Tsung, Weng, Ting-Kai, Chang, Ting-Yu, Liu, Kin Sum, Lin, Shan, Gao, Jie, Tsai, Shih-Yu
We explored the Patrol Security Game (PSG), a robotic patrolling problem modeled as an extensive-form Stackelberg game, where the attacker determines the timing, location, and duration of their attack. Our objective is to devise a patrolling schedule
Externí odkaz:
http://arxiv.org/abs/2410.15600