Projects
2026:
- Text to HDR image / video content generation, Diffusion models - Dolby Laboratories(Ongoing) Implementation of ICtCp color profile awareness in text-2-video diffusion models.
- Inversion and training free methods for MMDiT based video editing models - Dolby Laboratories(Ongoing) Implementation of training and inversion free video editing pipelines of MMDiT video diffusion models such as CogVideoX or Qwen Video Edit.
2025:
- Advertisement insertion in dynamic sports video content, Diffusion models - Dolby LaboratoriesImplemented simple advertisement banner insertion on courts of indoor and outdoor sports events that remains temporally consistent and visually appealing, with client agnostic metadata that can deliver hyper-personalized advertisement to viewers with light metadata packet.
- SSM-based 3D predictor model for stereo and flow downstream tasks - Dolby LaboratoriesAlleviate transformer’s nature of quadratic memory and compute complexity using a Mamba state-space model and transformer hybrid that reduces compute time by up to 30% with similar levels of performance and enable high resolution 3D prediction on stereo and flow downstream tasks.
2024:
- ResNet-based predictive Neural Radiance Fields, 6 DoF video compression, 3D Gaussian Splatting, Novel View Synthesis - Dolby LaboratoriesImplemented a residual network-based radiance field predictor that compresses 6 DoF images and videos, leading to 10% to 50% bitrate savings.Implemented transport of 6 DoF images using HEVC.The method was later successfully adapted in 3D Gaussian Splatting compression as well.
2023:
- Fast Reference Image Super-Resolution, Image Quality Enhancement - Dolby LaboratoriesImplemented a 100x faster than SOTA pipeline for a transformer-based image super-resolution algorithm that draws texture information from a reference texture provider image.
2016:
- Development of camera pipelines API, Linux C / C++ programming - NVIDIADevelopment of Camera2 API pipeline for NVIDIA Tegra devices.