DERD-Net: Learning Depth from Event-based Ray Densities (NeurIPS 2025 Spotlight)

Bachelor thesis on Development of flight control strategies using optical flow

Deepixel develops real-time human understanding algorithms from a single RGB camera, with full in-house capability spanning data acquisition, annotation, model training, and platform-optimized deployment—ensuring robust, efficient, and production-ready vision systems.

High-performance facial landmark detection and tracking library by Deepixel. CPU-only, real-time inference using TensorFlow Lite, OpenCV, and DeepCore. Outputs 106 facial landmarks with head pose estimation and Python API support.

Real-time, CPU-only wrist landmark tracking library by Deepixel. Uses monocular vision to estimate 8-point cylindrical wrist landmarks, left/right wrist pose, and visibility confidence with a Python API.