Zobrazeno 1 - 10
of 2 768
pro vyhledávání: '"Zuo, Yi"'
Autor:
Zuo, Yi, Li, Lingling, Jiao, Licheng, Liu, Fang, Liu, Xu, Ma, Wenping, Yang, Shuyuan, Guo, Yuwei
Existing diffusion-based video editing methods have achieved impressive results in motion editing. Most of the existing methods focus on the motion alignment between the edited video and the reference video. However, these methods do not constrain th
Externí odkaz:
http://arxiv.org/abs/2405.04496
Autor:
Yu, Xuanlong, Zuo, Yi, Wang, Zitao, Zhang, Xiaowen, Zhao, Jiaxuan, Yang, Yuting, Jiao, Licheng, Peng, Rui, Wang, Xinyi, Zhang, Junpei, Zhang, Kexin, Liu, Fang, Alcover-Couso, Roberto, SanMiguel, Juan C., Escudero-Viñolo, Marcos, Tian, Hanlin, Matsui, Kenta, Wang, Tianhao, Adan, Fahmy, Gao, Zhitong, He, Xuming, Bouniot, Quentin, Moghaddam, Hossein, Rai, Shyam Nandan, Cermelli, Fabio, Masone, Carlo, Pilzer, Andrea, Ricci, Elisa, Bursuc, Andrei, Solin, Arno, Trapp, Martin, Li, Rui, Yao, Angela, Chen, Wenlong, Simpson, Ivor, Campbell, Neill D. F., Franchi, Gianni
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segmentation in urban environments, with a particular focus on natural advers
Externí odkaz:
http://arxiv.org/abs/2309.15478
Keldysh field theory, based on adiabatic assumptions, serves as an widely used framework for addressing nonequilibrium many-body systems. Nonetheless, the validity of such adiabatic assumptions when addressing interacting Gibbs states remains a topic
Externí odkaz:
http://arxiv.org/abs/2309.06258
Autor:
Wang, Haoran, Zuo, Yi, Yin, Xuefan, Chen, Zihao, Zhang, Zixuan, Wang, Feifan, Hu, Yuefeng, Zhang, Xiaoyu, Peng, Chao
Grating couplers that interconnect photonic chips to off-chip components are of essential importance for various optoelectronics applications. Despite numerous efforts in past decades, existing grating couplers still suffer from poor energy efficienc
Externí odkaz:
http://arxiv.org/abs/2306.09027
Publikováno v:
MycoKeys, Vol 106, Iss , Pp 251-264 (2024)
Two novel species within the family Dictyosporiaceae are described and illustrated from terrestrial habitats on dead culms of bamboo and an unidentified plant, respectively. Through morphological comparisons and the multi-locus phylogenetic analyses
Externí odkaz:
https://doaj.org/article/a9170bfd20294c5596ec9ceba5e19381
To study various quantum dynamics, it is important to develop effective methods to detect and distinguish different quantum dynamics. A common non-demolition approach is to couple an auxiliary system (ancilla) to the target system, and to measure the
Externí odkaz:
http://arxiv.org/abs/2212.04982
Autor:
Kınlı, Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Furkan, Timofte, Radu, Zuo, Yi, Wang, Zitao, Zhang, Xiaowen, Zhu, Yu, Li, Chenghua, Leng, Cong, Cheng, Jian, Liu, Shuai, Feng, Chaoyu, Bai, Furui, Wang, Xiaotao, Lei, Lei, Ma, Tianzhi, Gao, Zihan, He, Wenxin, Yeo, Woon-Ha, Oh, Wang-Taek, Kim, Young-Il, Ryu, Han-Cheol, He, Gang, Long, Shaoyi, Sharif, S. M. A., Naqvi, Rizwan Ali, Kim, Sungjun, Kim, Guisik, Lee, Seohyeon, Nathan, Sabari, Kansal, Priya
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original content may be interpolated into
Externí odkaz:
http://arxiv.org/abs/2210.08997
Autor:
Lee, Ming-Ming1 (AUTHOR), Zuo, Yi2 (AUTHOR), Steiling, Katrina3,4 (AUTHOR), Mizgerd, Joseph P.3 (AUTHOR), Kalesan, Bindu5 (AUTHOR), Walkey, Allan J.6 (AUTHOR) Allan.Walkey1@umassmed.edu
Publikováno v:
PLoS ONE. 7/5/2024, Vol. 19 Issue 7, p1-14. 14p.
Publikováno v:
Phys. Rev. Research 5, 033174 (2023)
Quantum entanglement phase transitions have provided new insights to quantum many-body dynamics. Both disorders and measurements are found to induce similar entanglement transitions. Here, we provide a theoretical framework that unifies these two see
Externí odkaz:
http://arxiv.org/abs/2207.03376
We present a novel real-time visual odometry framework for a stereo setup of a depth and high-resolution event camera. Our framework balances accuracy and robustness against computational efficiency towards strong performance in challenging scenarios
Externí odkaz:
http://arxiv.org/abs/2202.02556