Computer Vision Researcher-Video Restoration
Tasks
- Collaborate with ML researchers SW HW and camera engineers
- Design deep learning models for video restoration
- Evaluate and compare model results with leading methods
- Implement and validate video restoration models
- Investigate lightweight model architectures for on device inference
- Mitigate imaging artifacts using algorithm approaches
- Optimize models for real-time performance
- Prepare and analyze large scale datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Artifact removal | Attention Mechanisms | Computational imaging | Computer Vision | Deep learning | GPU Computing | Image Deblurring | Image Processing | Image denoising | Inverse problems | Lightweight Neural Networks | Machine Learning | Neural Networks | PyTorch | Python | Real Time | Real-time Systems | Signal Processing | Super-resolution | Time Systems | Video Restoration
Education
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