The focus of our DNNs is on real-time inference for computer vision and perception. To achieve real-time capabilities, we use multi-tasking deep learning architectures which are sharing common backbones, while inference results are provided via independent network heads (e.g. object detection, scene segmentation, 3D reconstruction, features tracking).