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A Survey of Methods for Low-Power Deep Learning and Computer Vision., , , and . WF-IoT, page 1-6. IEEE, (2020)Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks., , , , , and . ASP-DAC, page 532-537. IEEE, (2022)Observing Human Mobility Internationally During COVID-19., , , , , , , , , and 8 other author(s). Computer, 56 (3): 59-69 (March 2023)Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras., , , , , , , , , and 11 other author(s). CoRR, (2020)Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision., , , , , , , and . AICAS, page 340-343. IEEE, (2022)Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision., , , , , , and . CoRR, (2023)Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach., , , , , , , , , and . HotMobile, page 128. ACM, (2022)Secured and energy efficient architecture for sensor networks., , , , , and . CIVEMSA, page 1-6. IEEE, (2016)CompactNet: High Accuracy Deep Neural Network Optimized for On-Chip Implementation., , and . IEEE BigData, page 4723-4729. IEEE, (2018)Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks., , , , , , and . ISLPED, page 1-6. IEEE, (2021)