Ming-Hsuan Yang团队 将NAS应用到光流估计任务第一篇工作 | FlowNAS:用于光流估计的神经架构搜索 Hi,大家好,我是LiteAI,持续分享边缘计算和轻量化神经网络技术的平台。今天分享一篇NAS应用到光流估计的文章,通过NAS实现更好的编码器结构,KITTI上的结果超过SOTA手工模型GMA和AGFlow。作者说明该文章是第一篇将NAS应用...
1 code implementation • 18 Jun 2013 • An Bian, Xiong Li, Yuncai Liu, Ming-Hsuan Yang We show that: (1) PCDN is guaranteed to converge globally despite increasing parallelism; (2) PCDN converges to the specified accuracy $\epsilon$ within the limited iteration number of $T_\epsilo...
The Vision and Learning Lab at the University of California, Merced, has an immediate full-time postdoctoral scholar position open. We work on various aspects of vision and learning, from low-level, mid-level, to high-level vision. The postdoctoral scholar will work with Ming-Hsuan Yang and ...
Ming Hsuan Yang 中国科学院自动化研究所, 副教授 / 科研之友号:77957441 科研之友人员唯一编号 1 项目 205 成果 2522 阅读 0 下载 24624 被引 56 H-指数 主页 成果
Muse: Text-To-Image Generation via Masked Generative Transformers We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance while being significantly more efficient than diffusion or autoregressive models. Muse is trained on a masked modeling task ...
hindex 111 说明还是很solid的
Redis Sentinel integration for Laravel and Lumen. support 10 - Yanghsuanming/laravel-redis-sentinel-drivers
扩散模型(diffusion models)是最新的深度生成方法,在计算机视觉、自然语言处理、时间序列等任务上都有出色的表现。在这篇全新的扩散模型综述中,我们(加州大学 & Google Research的Ming-Hsuan Yang、北京大学崔斌实验室 @大仲马 以及CMU、UCLA @叶小飞 、蒙特利尔Mila研究院)等研究者首次对现有的扩散生成模型(diffusion mo...
Utility scripts for use with the dompdf library. Contribute to Yanghsuanming/utils development by creating an account on GitHub.
Hsing-An Lin, † Chun-Hsia Liu, † Wei-Chia Huang, † Sz-Chian Liou, ‡ Ming-Wen Chu, ‡ Cheng-Hsuan Chen, ‡ Jyh-Fu Lee, § and Chia-Min YangLin, HsinganLiu, ChunhsiaHuang, WeichiaLiou, SzchianChu, MingwenChen, Chenghsuan...