150271 20251017144635.0 doi 10.1109/CVPRW56347.2022.00301 sideral 130997 ART-2022-130997 eng Sabater, Alberto Universidad de Zaragoza Event Transformer. A sparse-aware solution for efficient event data processing 2022 Access copy available to the general public Unrestricted Event cameras are sensors of great interest for many applications that run in low-resource and challenging environments. They log sparse illumination changes with high temporal resolution and high dynamic range, while they present minimal power consumption. However, top-performing methods often ignore specific event-data properties, leading to the development of generic but computationally expensive algorithms. Efforts toward efficient solutions usually do not achieve top-accuracy results for complex tasks. This work proposes a novel framework, Event Transformer (EvT) 1 , that effectively takes advantage of event-data properties to be highly efficient and accurate. We introduce a new patch-based event representation and a compact transformer-like architecture to process it. EvT is evaluated on different event-based benchmarks for action and gesture recognition. Evaluation results show better or comparable accuracy to the state-of-the-art while requiring significantly less computation resources, which makes EvT able to work with minimal latency both on GPU and CPU. info:eu-repo/grantAgreement/ES/DGA-FSE/T45-17R info:eu-repo/grantAgreement/ES/MICIU-AEI-FEDER/PGC2018-098817-A-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Montesano, Luis Universidad de Zaragoza (orcid)0000-0003-1183-349X Murillo, Ana C. Universidad de Zaragoza (orcid)0000-0002-7580-9037 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 2022 (2022), 2676-2685 IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2160-7508 1157125 http://zaguan.unizar.es/record/150271/files/texto_completo.pdf Postprint 2725662 http://zaguan.unizar.es/record/150271/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:150271 articulos driver 2025-10-17-14:28:22 ARTICLE