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pro vyhledávání: '"Kelly, Chris A."'
Autor:
Kelly, Chris, Hu, Luhui, Hu, Jiayin, Tian, Yu, Yang, Deshun, Yang, Bang, Yang, Cindy, Li, Zihao, Huang, Zaoshan, Zou, Yuexian
The evolution of text to visual components facilitates people's daily lives, such as generating image, videos from text and identifying the desired elements within the images. Computer vision models involving the multimodal abilities in the previous
Externí odkaz:
http://arxiv.org/abs/2403.09530
Autor:
Kelly, Chris, Hu, Luhui, Yang, Bang, Tian, Yu, Yang, Deshun, Yang, Cindy, Huang, Zaoshan, Li, Zihao, Hu, Jiayin, Zou, Yuexian
With the emergence of large language models (LLMs) and vision foundation models, how to combine the intelligence and capacity of these open-sourced or API-available models to achieve open-world visual perception remains an open question. In this pape
Externí odkaz:
http://arxiv.org/abs/2403.09027
Autor:
Yang, Deshun, Hu, Luhui, Tian, Yu, Li, Zihao, Kelly, Chris, Yang, Bang, Yang, Cindy, Zou, Yuexian
Several text-to-video diffusion models have demonstrated commendable capabilities in synthesizing high-quality video content. However, it remains a formidable challenge pertaining to maintaining temporal consistency and ensuring action smoothness thr
Externí odkaz:
http://arxiv.org/abs/2403.07944
Autor:
Kelly, Chris, Hu, Luhui, Yang, Cindy, Tian, Yu, Yang, Deshun, Yang, Bang, Huang, Zaoshan, Li, Zihao, Zou, Yuexian
In the current landscape of artificial intelligence, foundation models serve as the bedrock for advancements in both language and vision domains. OpenAI GPT-4 has emerged as the pinnacle in large language models (LLMs), while the computer vision (CV)
Externí odkaz:
http://arxiv.org/abs/2311.10125
Autor:
Singhal, Karan, Azizi, Shekoofeh, Tu, Tao, Mahdavi, S. Sara, Wei, Jason, Chung, Hyung Won, Scales, Nathan, Tanwani, Ajay, Cole-Lewis, Heather, Pfohl, Stephen, Payne, Perry, Seneviratne, Martin, Gamble, Paul, Kelly, Chris, Scharli, Nathaneal, Chowdhery, Aakanksha, Mansfield, Philip, Arcas, Blaise Aguera y, Webster, Dale, Corrado, Greg S., Matias, Yossi, Chou, Katherine, Gottweis, Juraj, Tomasev, Nenad, Liu, Yun, Rajkomar, Alvin, Barral, Joelle, Semturs, Christopher, Karthikesalingam, Alan, Natarajan, Vivek
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically
Externí odkaz:
http://arxiv.org/abs/2212.13138
Autor:
Kelly, Chris, Fawkes, Julian, Habermehl, Rachel, de Ferreyro Monticelli, Davi, Zimmerman, Naomi
Publikováno v:
In Environmental Modelling and Software February 2023 160
Autor:
Stone, David W., Kelly, Chris, Marneweck, David G., Druce, Dave J., Hopcraft, J. Grant C., Marneweck, Courtney J.
Publikováno v:
In Journal for Nature Conservation December 2022 70
Publikováno v:
In Neuroscience and Biobehavioral Reviews May 2022 136
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