Job description:
Research and engineering work related to computer vision topics using CNN or other latest algorithms
Base on specific use case, define computer vision solution and develop related core algorithm
Document process and results during development, especially for the key milestones
Feedback process or problems timely, discuss and find solutions with team
Literature review and share within the group
Support testing for other projects in the group
参与研究与开发基于CNN或者其他计算结构(例如自注意力等)的计算机视觉算法
可以基于不同的用户需求定义合理的算法实施
可以定时定量的完成布置的工作任务
及时反馈遇到的问题,方便大家一起讨论与解决问题
熟悉文献搜索与文献整理,参与内部文献阅读与分享
支持组内其他的项目的实验需求
Required knowledge competencies and attributes:
Major in electronic engineering, computer science, or related fields to information technology
Experiences with CNN based computer vision, with Pytorch or TensorFlow
Familiar with python and C++, expected coding skill should be able to smoothly work on our topics
Self-dependent, highly motivated and problem solving mentality
English reading and writing capability is required
电子,信息类专业的学生
熟悉基于CNN的计算机视觉,熟练使用Pytorch或者Tensorflow
熟悉Python与C++编程,编程水平可以满足无障碍开展工作即可
可以独立完成任务,独立解决问题
英文读写非常重要
Preferred:
Experience with image registration, metric learning or one shot object detection
Familiar with traditional computer vision approach for listed topics
Master student or above is preferred
Enroll as soon as possible, and could stay for more than 6 months
熟悉图像配准,相似度学习,与小样本目标检测中的任意一种
熟悉一个上述题目相关的传统视觉方法
硕士在读或者博士在读
可以尽快入职,实习期大于等于6个月
当前职位已下线
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