Job responsibilities
1. Participate in the design, development, and iteration of single- or multi-camera 3D human body-related algorithms;
2. Participate in the accumulation of human body modeling and driver-related algorithms into a tool chain, and use large amounts of data to promote performance optimization of related algorithms;
3. Participate in the entire process of data collection, post-processing and algorithm verification to promote a virtuous cycle of data collection;
4. Work closely with team members to complete the implementation of relevant projects.
Job Requirements
1. Bachelor degree or above, major in computer, electronic information, software, robotics and other related majors;
2. Proficient in using at least one programming language such as C/C++ and Python;
3. Have research experience in 3D data structures (such as voxels, polygon meshes, point clouds, etc.);
4. Master one of the deep learning frameworks such as PyTorch, TensorFlow, MXNet, and Caffe;
5. Have excellent problem analysis and problem-solving abilities, as well as good communication and teamwork skills.
Extra points:
1. Have research experience in related algorithms (such as human body reconstruction, human body key points, multi-camera calibration, etc.);
2. Relevant internships in the industry, research experience in university laboratories, research institutes, and work experience;
3. Have a background in contributing to open source projects related to research in graphics, computer vision, machine learning, etc.;
4. Publish relevant papers in top international conferences or journals (CVPR, ICCV, ECCV, 3DV, SIGGRAPH, TOG, TPAMI, etc.);
5. Dare to make breakthroughs and innovations at work, and be passionate about solving challenging problems.
