影石深度学习算法实习生(场景重建方向)
校招全职地点:深圳 | 上海状态:招聘
任职要求
1.硕士及以上学历,模式识别、计算机视觉、数学、电子信息等相关专业优先; 2.能够熟练使用Tensorflow/Pytorch中的一种或多种深度学习框架,熟练使用Python; 3.熟悉多视角几何、三维重建、生成式模型相关算法理论知识; 4.具备相关领域工程背景:在无人机、自动驾驶、机器人相…
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工作职责
1.负责3D内容&视频⽣成与重建算法,包括但不限于三维重建技术(NeRF/3DGS、MVS、VGGT)和视频生成技术(Diffusion等)相关算法前沿技术跟进和研发落地; 2.深⼊下游应⽤场景,结合场景重建、神经渲染、生成式AI等为算法提供可用于训练/评估的高质量数据,支持高级智能感知系统的研发落地; 3.探索大规模场景下的重建与生成:3DGS/Nerf、World Model、Diffusion、VGGT等技术研发和业务落地。
包括英文材料
学历+
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.
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.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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