Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection – Guangzhi Tang (Maastricht University) Sparse Convolutional Recurrent Learning for Efficient Event-base Neuromorphic Object Detection March 23, 2025• 60views 2025 NICE,Learning Approaches event-NICE,speaker-Tang-Guangzhi,year-2025 You may also like A pulse-gated, neural implementation of the... March 28, 2019• 80views 2019 NICE,Learning Approaches event-NICE,speaker-Sornborger-Andrew,year-2019 E-prop: A biologically inspired paradigm for learning in... September 1, 2020• 77views 2020 SNUFA Workshop,Learning Approaches event-SNUFA,speaker-Scherr-Franz,year-2020 DYNAP=SEL: An ultra-low power mixed signal synamic... March 28, 2019• 77views 2019 NICE,Circuit & Chip Design event-NICE,speaker-Indiveri-Giacomo,year-2019 Unsupervised dictionary learning for neuromorphic... March 28, 2019• 76views 2019 NICE,Learning Approaches event-NICE,speaker-Watkins-Yijing,year-2019 Mapping deep neural networks on SpiNNaker2 | Florian... March 19, 2021• 76views 2021 NICE,Platforms & Architectures event-NICE,speaker-Kelber-Florian,year-2021 «1…3456789…39»Page 6 of 39