3D视觉算法工程师
Tasks
- Apply state of the art 3D human understanding research
- Build 2D and 3D pose estimation models
- Build 6D pose estimation for object detection
- Collaborate on perception to structured action representation pipeline
- Develop human tracking and skeleton estimation
- Develop multimodal perception fusion for video depth IMU audio
- Develop single camera video 3D human motion capture
- Develop space semantic understanding
- Implement depth estimation and scene understanding
- Optimize robot executable action generation
- Perform temporal optimization for motion
- Reconstruct mesh from visual data
- Regress SMPL and SMPLX parameters
Perks/Benefits
- N/A
Skills/Tech-stack
3D Pose Estimation | 3D Reconstruction | 6D Pose | 6D Pose Estimation | Audio Processing | Body Dynamics | Computer Vision | Deep learning | Depth Estimation | Diffusion Models | Forward Kinematics | ICP | IMU | Inverse kinematics | Kalman Filter | Keypoint detection | Low Latency | Low Latency Inference | Machine Learning | Motion Reconstruction | Multi-body dynamics | Multiview Geometry | PnP | Pose Estimation | PyTorch | Real Time | Real-time Inference | Retargeting | SMPL | SMPLX | Single View Depth | Single View Depth Estimation | TensorFlow | Transformer | VAE | Video Motion Reconstruction
Education
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