Media Analytics | Turgun Kashgari

Autonomous Driving

Overview: While autonomous cars are rapidly becoming a reality, it remains a challenge to scalably deploy them across geographies and conditions. Our full-stack autonomy solutions include perception, prediction, planning, simulation and DevOps that leverage the latest advances in generative AI, neural rendering, large language models, diffusion models and transformers.

Prediction and Planning

Overview: Our methods such as DESIRE, SMART and DAC achieve various capabilities such as diversity, scene consistency, constant-time inference and multimodality that adheres to lane geometries and driving rules.

Robust and Unbiased Face Recognition

Overview: Our face recognition methods achieve high accuracy on competitive public benchmarks through the use of universal representation learning techniques that leverage very large-scale datasets, with robustness to variations such as occlusions, blur, lighting or accessories.

Robustness and Fairness

Overview: Our techniques from unsupervised and semi-supervised learning, such as domain adaptation and domain generalization, allow robust and responsible AI solutions across multiple applications such as image classification, face recognition, facial anti-spoofing, object detection and semantic segmentation.