Event-based Vision: A Survey, arXiv 2019. Devices & Companies Manufacturing them DVS (Dynamic Vision Sensor): Lichtsteiner, P., Posch, C., and Delbruck, T., A 128x128 120dB 15μs latency asynchronous temporal contrast vision sensor, IEEE J. Solid-State Circuits, 43(2):566-576, 2008....
T-NNLS 2018Spatial and temporal downsampling in event-based visual classificationBinarized event occurence 1.8 Event Histogram PublicationTitleHighlight CVPR 2018Event-based vision meets deep learning on steering prediction for self-driving cars.Event counts ...
Event-based Vision: A Survey, IEEE Trans. Pattern Anal. Machine Intell. (TPAMI), 2020. Devices & Companies Manufacturing them DVS (Dynamic Vision Sensor): Lichtsteiner, P., Posch, C., and Delbruck, T., A 128x128 120dB 15μs latency asynchronous temporal contrast vision sensor, IEEE J....
Event-based vision sensor for fast and dense single-molecule localization microscopy Article 30 October 2023 Imaging endocytic vesicle formation at high spatial and temporal resolutions with the pulsed-pH protocol Article 17 August 2020 Main STED (stimulated emission depletion) nanoscopy has been suc...
vision.customvision.training.models com.microsoft.azure.cognitiveservices.vision.faceapi com.microsoft.azure.cognitiveservices.vision.faceapi.models com.microsoft.azure.elasticdb.core.commons.transientfaulthandling com.microsoft.azure.elasticdb.query.exception com.microsoft.azure.elasticdb.query.logging com....
we propose a deterministic decision tree-based algorithm to automatically extract football events using tracking data, which consists of two steps: (1) a possession step that evaluates which player was in possession of the ball at each frame in the tracking data, as well as the distinct player...
Video surveillance at an industrial environment using an address event vision sensor: Comparative between two different video sensor based on a bioinspired... Video surveillance at an industrial environment using an address event vision sensor: Comparative between two different video sensor based on a ...
Computer vision We used two separate computer vision-based approaches to fit the data. First, we used the ResNet50 architecture to fine-tune the multi-class classification algorithm using RBG frames. Second, we used the ResNet50 architecture with the same fine-tuning strateg...
Based on the current findings, one potential explanation of the larger amplitude of the LPP of logos recommended by unattractive female customers may be because when the participants viewed the unattractive female photos, a less positive emotion was triggered, and the kind of emotion transferred and...
With 1.5% of the market share in the US, Marcus said, “We are trying to fulfil our vision instead, and making it possible for people to live a better life through the things that we sell. That’s a never ending story.” Autodesk Sponsor Spotlight: The Future of Design and Make ...