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pro vyhledávání: '"Hayes, Thomas"'
The well-known clustering algorithm of Miller, Peng, and Xu (SPAA 2013) is useful for many applications, including low-diameter decomposition and low-energy distributed algorithms. One nice property of their clustering, shown in previous work by Chan
Externí odkaz:
http://arxiv.org/abs/2405.05132
We study the mixing time of the single-site update Markov chain, known as the Glauber dynamics, for generating a random independent set of a tree. Our focus is obtaining optimal convergence results for arbitrary trees. We consider the more general pr
Externí odkaz:
http://arxiv.org/abs/2307.07727
Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models for motion generation has enabled improvements in the quality of gener
Externí odkaz:
http://arxiv.org/abs/2305.09662
Recent large-scale text-to-image generation models have made significant improvements in the quality, realism, and diversity of the synthesized images and enable users to control the created content through language. However, the personalization aspe
Externí odkaz:
http://arxiv.org/abs/2304.07410
Autor:
Avrahami, Omri, Hayes, Thomas, Gafni, Oran, Gupta, Sonal, Taigman, Yaniv, Parikh, Devi, Lischinski, Dani, Fried, Ohad, Yin, Xi
Recent text-to-image diffusion models are able to generate convincing results of unprecedented quality. However, it is nearly impossible to control the shapes of different regions/objects or their layout in a fine-grained fashion. Previous attempts t
Externí odkaz:
http://arxiv.org/abs/2211.14305
Autor:
Singer, Uriel, Polyak, Adam, Hayes, Thomas, Yin, Xi, An, Jie, Zhang, Songyang, Hu, Qiyuan, Yang, Harry, Ashual, Oron, Gafni, Oran, Parikh, Devi, Gupta, Sonal, Taigman, Yaniv
We propose Make-A-Video -- an approach for directly translating the tremendous recent progress in Text-to-Image (T2I) generation to Text-to-Video (T2V). Our intuition is simple: learn what the world looks like and how it is described from paired text
Externí odkaz:
http://arxiv.org/abs/2209.14792
How to Wake Up Your Neighbors: Safe and Nearly Optimal Generic Energy Conservation in Radio Networks
Autor:
Dani, Varsha, Hayes, Thomas P.
Recent work has shown that it is sometimes feasible to significantly reduce the energy usage of some radio-network algorithms by adaptively powering down the radio receiver when it is not needed. Although past work has focused on modifying specific n
Externí odkaz:
http://arxiv.org/abs/2205.12830
Autor:
Petrushina, Irina, Jing, Yichao, Litvinenko, Vladimir N., Ma, Jun, Severino, Freddy, Narayan, Geetha, Hayes, Thomas, Brutus, Jean C., Smart, Loralie, Decker, Kenneth, Belomestnykh, Sergey
The recent achievements in the performance of superconducting RF (SRF) photoinjectors have opened a new era in the development of the reliable high-brightness CW electron sources. While the SRF guns become one of the most promising technologies, the
Externí odkaz:
http://arxiv.org/abs/2204.13555
Autor:
Hayes, Thomas, Zhang, Songyang, Yin, Xi, Pang, Guan, Sheng, Sasha, Yang, Harry, Ge, Songwei, Hu, Qiyuan, Parikh, Devi
Multimodal video-audio-text understanding and generation can benefit from datasets that are narrow but rich. The narrowness allows bite-sized challenges that the research community can make progress on. The richness ensures we are making progress alo
Externí odkaz:
http://arxiv.org/abs/2204.08058
Autor:
Ge, Songwei, Hayes, Thomas, Yang, Harry, Yin, Xi, Pang, Guan, Jacobs, David, Huang, Jia-Bin, Parikh, Devi
Videos are created to express emotion, exchange information, and share experiences. Video synthesis has intrigued researchers for a long time. Despite the rapid progress driven by advances in visual synthesis, most existing studies focus on improving
Externí odkaz:
http://arxiv.org/abs/2204.03638