Towards Efficient Human Activity Recognition - mediaTUM
HiTDL's mission is to improve edge resource efficiency by optimizing the combined throughput of all co-located DNNs, while still guaranteeing their SLAs. To ...
The Contribution of AI to neurological analysis of eye movementsVarious deep network architectures have been proposed in the literature to handle a wide variety of sensory data ranging from simple 1-D signals and text to ... Multimodal deep learning for audiovisual productionPerception plays a critical role in autonomous driving, encompassing key areas such as place recognition, semantic segmentation, and object detection. Optimizing Neural Networks for TinyML: a study on quantization ...Action recognition by learning deep multi-granular spatio-temporal video ... recognition module is a multi-model network called the M-3D network. This ...
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