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Open nowPosted 47 days ago

3D视觉算法工程师

agirobot/campusrecruitment420 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now3D视觉算法工程师agirobot/campusrecruitment · Shenzhen, Guangdong, Chinese Mainland
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/campusrecruitment postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 47 days ago

agirobot/campusrecruitment median: 1 days open

The posting

负责单目视频3D 人体动作捕捉算的研发、迭代与工程化落地,创新灵创平台的核心能力。 包括 2D/3D 姿态估计、mesh 重建、SMPL/SMPLX参数回归、时序优化等。 参与构建机器人交互智能的空间感知算法体系: 人体跟踪、骨骼估计、深度估计、场景理解、空间语义理解等。 研发 物体检测与位姿估计算法(6D Pose Estimation),支持未来多模态交互与场景互动能力。 与动作生成模型、运控团队协作,推进“感知 → 结构化动作表征 → 机器人可执行动作”的全链路技术方案。 探索并落地 多模态感知技术(视频/深度/IMU/音频等融合)用于机器人交互场景。 跟踪视觉计算与 3D 人体理解领域前沿研究,为平台产品提供持续的技术创新能力。

计算机视觉、人工智能、机器人等相关专业硕士及以上学历。 在以下至少两个方向具备深入研究经验: 3D 人体姿态估计 / SMPL-X 参数估计 视频到动作(Video-to-Motion)动作重建 多视角融合、单目深度估计、3D Reconstruction 物体 6D 位姿估计(Pose Estimation / Keypoint / ICP / PnP) 时序动作优化(Kalman / smoother / VAE / diffusion) 扎实的机器学习与深度学习基础,熟练使用 PyTorch / TensorFlow。 有扎实的数学基础(线性代数、优化、几何视觉、多视图几何)。

加分项 有 3D 检测 / 跟踪 / 动作捕捉 相关论文发表(CVPR/ICCV/ECCV/TPAMI/TVCG)。 有动作重定向(Retargeting)、IK/FK、多体动力学经验。 有 Diffusion/Transformer 用于 3D 动作理解与生成相关经验。 有机器人感知、视觉伺服、场景交互项目经验。 熟悉数字人、虚拟主播、视频驱动角色动画(Vtuber / mocap / avatar)。 对 Real-time、low-latency 推理有优化经验。

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