Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-aware Task Pipelining
Paper Link: https://ieeexplore.ieee.org/document/5372154
Memory-Centric Network-on-Chip for Power Efficient Execution of Task-Level Pipeline on a Multi-Core Processor
Paper Link: https://ieeexplore.ieee.org/document/5200575
A 201.4GOPS 496mW Real-Time Multi-Object Recognition Processor with Bio-Inspired Neural Perception Engine
Paper Link: https://ieeexplore.ieee.org/document/4977352
A 22.8GOPS 2.83mW Neuro-fuzzy Object Detection Engine for Fast Multi-Object Recognition
Paper Link: https://ieeexplore.ieee.org/document/5205353
An Energy Efficient Real-Time Object Recognition Processor with Neuro-Fuzzy Controlled Task Pipelining
Paper Link: https://pdfs.semanticscholar.org/e165/d8c0e1faa86618b818d42be39fd3a9b65f04.pdf
A 60fps 496mW Multi-Object Recognition Processor with Workload-Aware Dynamic Power Management
Paper Link: https://dl.acm.org/citation.cfm?id=1594329
A 118.4GB/s Multi-Casting Network-on-Chip for Real-Time Object Recognition Processor
Paper Link: https://ieeexplore.ieee.org/document/5325978
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor with Bio-Inspired Visual Attention Engine
Paper Link: https://ieeexplore.ieee.org/abstract/document/4735559
81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC
Paper Link: https://ieeexplore.ieee.org/document/4773146
A Configurable Heterogeneous Multicore Architecture with Cellular Neural Network for Real-Time Object Recognition
Paper Link: https://ieeexplore.ieee.org/document/5229342