Zobrazeno 1 - 10
of 714
pro vyhledávání: '"Li Yandong"'
Publikováno v:
中国工程科学, Vol 24, Iss 2, Pp 75-85 (2022)
The new intelligent manufacturing system integrates information and communication technologies (ICTs) with industrial technologies and supports the rapidly unfolding new round of industrial revolution. The rapid evolution of ICTs gives intelligent ma
Externí odkaz:
https://doaj.org/article/459a52704e09400d98bbb0269418e09c
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 42, Iss 5, Pp 440-447 (2022)
ObjectiveTo explore the feasibility of breeding cleaning degree mice with micro-barrier cages in conventional environmental facilities.MethodsClean-grade mice were housed and maintained in positive-pressure microbarrier cages in a general environment
Externí odkaz:
https://doaj.org/article/acdd90afb22940d4bb6238faaa4a8807
Autor:
Sun, Yihong, Zhou, Hao, Yuan, Liangzhe, Sun, Jennifer J., Li, Yandong, Jia, Xuhui, Adam, Hartwig, Hariharan, Bharath, Zhao, Long, Liu, Ting
We explore a novel video creation experience, namely Video Creation by Demonstration. Given a demonstration video and a context image from a different scene, we generate a physically plausible video that continues naturally from the context image and
Externí odkaz:
http://arxiv.org/abs/2412.09551
Autor:
Li, Yandong, Monticone, Francesco
Similar to algorithms, which consume time and memory to run, hardware requires resources to function. For devices processing physical waves, implementing operations needs sufficient "space," as dictated by wave physics. How much space is needed to pe
Externí odkaz:
http://arxiv.org/abs/2411.10435
Autor:
Chen, Lichang, Hu, Hexiang, Zhang, Mingda, Chen, Yiwen, Wang, Zifeng, Li, Yandong, Shyam, Pranav, Zhou, Tianyi, Huang, Heng, Yang, Ming-Hsuan, Gong, Boqing
We introduce OmnixR, an evaluation suite designed to benchmark SoTA Omni-modality Language Models, such as GPT-4o and Gemini. Evaluating OLMs, which integrate multiple modalities such as text, vision, and audio, presents unique challenges. Particular
Externí odkaz:
http://arxiv.org/abs/2410.12219
Autor:
Zhao, Long, Woo, Sanghyun, Wan, Ziyu, Li, Yandong, Zhang, Han, Gong, Boqing, Adam, Hartwig, Jia, Xuhui, Liu, Ting
In generative modeling, tokenization simplifies complex data into compact, structured representations, creating a more efficient, learnable space. For high-dimensional visual data, it reduces redundancy and emphasizes key features for high-quality ge
Externí odkaz:
http://arxiv.org/abs/2410.04081
Autor:
Muis, Daniel, Li, Yandong, Barczyk, René, Arora, Sonakshi, Kuipers, L., Shvets, Gennady, Verhagen, Ewold
Localized optical field enhancement enables strong light-matter interactions necessary for efficient manipulation and sensing of light. Specifically, tunable broadband energy localization in nanoscale hotspots offers a wide range of applications in n
Externí odkaz:
http://arxiv.org/abs/2408.06773
Diffusion models (DMs) embark a new era of generative modeling and offer more opportunities for efficient generating high-quality and realistic data samples. However, their widespread use has also brought forth new challenges in model security, which
Externí odkaz:
http://arxiv.org/abs/2404.15081
Text-to-video models have demonstrated substantial potential in robotic decision-making, enabling the imagination of realistic plans of future actions as well as accurate environment simulation. However, one major issue in such models is generalizati
Externí odkaz:
http://arxiv.org/abs/2404.12377
Autor:
Hu, Hexiang, Chan, Kelvin C. K., Su, Yu-Chuan, Chen, Wenhu, Li, Yandong, Sohn, Kihyuk, Zhao, Yang, Ben, Xue, Gong, Boqing, Cohen, William, Chang, Ming-Wei, Jia, Xuhui
This paper presents instruct-imagen, a model that tackles heterogeneous image generation tasks and generalizes across unseen tasks. We introduce *multi-modal instruction* for image generation, a task representation articulating a range of generation
Externí odkaz:
http://arxiv.org/abs/2401.01952