荣耀显示图像视频算法专家
社招全职研发类地点:北京 | 深圳 | 西安状态:招聘
任职要求
1、人工智能、计算机、信号与信息处理、模式识别、生物医学工程、自动化、数学等专业毕业 。熟悉常见的图像/视频处理、计算机视觉、模式识别、深度学习等算法; 2、熟悉C/C++、Python编程,掌握TensorFlow、PyTorch、Keras等至少一种深度学习框架; 3、具有3A、图像配准、图像融合、降噪增强、视频防抖、AI等算法开发经验者优先; 4、熟悉手机ISP pipeline成像链路,或者发表过图像相关论文/专利者优先。
工作职责
1、洞察图像处理/人工智能领域业界先进技术及发展趋势,从事图像/视频算法(包括但不仅限于3A、图像配准、图像融合、降噪增强、视频防抖、AIISP、视频理解)的研究创新方案设计,实现公司在该领域的技术竞争力领先; 2、负责图像处理、图像识别、AI等算法开发及工程化落地,构建智能手机拍照和录像的竞争力; 3、调研和跟踪高校、第三方公司在图像/AI算法方向的技术发展,推进技术合作。
包括英文材料
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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.
Keras+
https://keras.io/getting_started/intro_to_keras_for_engineers/
Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably.
Image Signal Processor+
https://github.com/mikeroyal/ISP-Guide
Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
相关职位
社招5年以上研发类
1. 负责手机上相机模块的视频录制及预览显示相关算法方案的预研与开发; 2. 负责视频效果提升和相关功能改进的算法方案架构设计; 3. 负责相关算法的设计、实现、测试和调试; 4. 了解面向芯片友好的算法选型、设计及交付基本流程,具有一定的算法优化能力。
社招5年以上研发类
1. 负责手机上相机模块的视频录制及预览显示相关算法方案的预研与开发; 2. 负责视频效果提升和相关功能改进的算法方案架构设计; 3. 负责相关算法的设计、实现、测试和调试; 4. 了解面向芯片友好的算法选型、设计及交付基本流程,具有一定的算法优化能力。
社招10年以上研发类
1. 负责手机上相机模块的预览显示和视频相关算法的研发与应用; 2. 负责算法的设计、实现、测试和调试; 3. 负责算法向 RTL Design 团队的交付及 C-Model 维护; 4. 了解面向 RTL Design 的算法选型、设计及交付基本流程,具有一定的算法优化能力。