小米视觉生成算法工程师实习生—武汉
实习兼职地点:武汉状态:招聘
任职要求
任职要求: 1.硕士及以上学历优先,计算机视觉、图像信号处理、机器学习、模式识别、数学等相关专业; 2.一定的图像视频算法实践经验,扎实的数学功底,对图像/视频相关的大模型生成、深度学习或传统算法有深…
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工作职责
工作内容: 1.参与图像/视频生成大模型算法研发工作; 2.跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平; 3.参与学术研究,产出具备行业影响力的科研成果,产出论文。
包括英文材料
学历+
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
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实习
工作内容: 1.参与图像/视频生成大模型算法研发工作; 2.跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平; 3.参与学术研究,产出具备行业影响力的科研成果,产出论文。
更新于 2025-05-28武汉
实习
工作内容: 1.参与图像/视频生成大模型算法研发工作; 2.跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平; 3.参与学术研究,产出具备行业影响力的科研成果,产出论文。
更新于 2025-08-14武汉
实习
工作内容: 1.参与图像/视频生成大模型算法研发工作; 2.跟进特定领域的行业进展,并结合产品对算法进行优化,使相关产品效果达到业界领先水平; 3.参与学术研究,产出具备行业影响力的科研成果,产出论文。
更新于 2025-08-20武汉