Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wen, Zehao"'
Autor:
Shang, Yuzhang, Xu, Bingxin, Kang, Weitai, Cai, Mu, Li, Yuheng, Wen, Zehao, Dong, Zhen, Keutzer, Kurt, Lee, Yong Jae, Yan, Yan
Advancements in Large Language Models (LLMs) inspire various strategies for integrating video modalities. A key approach is Video-LLMs, which incorporate an optimizable interface linking sophisticated video encoders to LLMs. However, due to computati
Externí odkaz:
http://arxiv.org/abs/2409.12963
Autor:
Wen, Zehao, Younes, Rabih
Publikováno v:
ACE (2023) Vol. 21: 249-257.
In our rapidly evolving digital sphere, the ability to discern media bias becomes crucial as it can shape public sentiment and influence pivotal decisions. The advent of large language models (LLMs), such as ChatGPT, noted for their broad utility in
Externí odkaz:
http://arxiv.org/abs/2403.20158
Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text into well-structured and textured indoor scenes at a house-scale. By prompting Large Language Models (LLMs) with designed templates, our approach converts prov
Externí odkaz:
http://arxiv.org/abs/2312.06644
Publikováno v:
IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control; Apr2020, Vol. 67 Issue 4, p840-849, 10p
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers