[{"language":[{"iso":"eng"}],"_id":"4206","year":"2023","status":"public","conference":{"start_date":"2023-10-2","end_date":"2023-10-6","name":"International Conference on Computer Vision (ICCV) 2023","location":"Paris France"},"citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Sanaullah, Sanaullah</span> ; <span style=\"font-variant:small-caps;\">Amanullah, Amanullah</span> ; <span style=\"font-variant:small-caps;\">Roy, Kaushik </span> ; <span style=\"font-variant:small-caps;\">Lee, Jeong-A </span> ; <span style=\"font-variant:small-caps;\">Chul-Jun, Son </span> ; <span style=\"font-variant:small-caps;\">Jungeblut, Thorsten</span>: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: , 2023","bibtex":"@inproceedings{Sanaullah_Amanullah_Roy_Lee_Chul-Jun_Jungeblut_2023, title={A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting}, DOI={<a href=\"https://doi.org/10.5281/zenodo.10458019\">10.5281/zenodo.10458019</a>}, author={Sanaullah, Sanaullah and Amanullah, Amanullah and Roy, Kaushik  and Lee, Jeong-A  and Chul-Jun, Son  and Jungeblut, Thorsten}, year={2023} }","apa":"Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., &#38; Jungeblut, T. (2023). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France. <a href=\"https://doi.org/10.5281/zenodo.10458019\">https://doi.org/10.5281/zenodo.10458019</a>","ieee":"S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.","mla":"Sanaullah, Sanaullah, et al. <i>A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting</i>. 2023, doi:<a href=\"https://doi.org/10.5281/zenodo.10458019\">10.5281/zenodo.10458019</a>.","ama":"Sanaullah S, Amanullah A, Roy K, Lee J-A, Chul-Jun S, Jungeblut T. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: ; 2023. doi:<a href=\"https://doi.org/10.5281/zenodo.10458019\">10.5281/zenodo.10458019</a>","chicago":"Sanaullah, Sanaullah, Amanullah Amanullah, Kaushik  Roy, Jeong-A  Lee, Son  Chul-Jun, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” 2023. <a href=\"https://doi.org/10.5281/zenodo.10458019\">https://doi.org/10.5281/zenodo.10458019</a>.","short":"S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut, in: 2023."},"author":[{"first_name":"Sanaullah","id":"248865","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718021","last_name":"Sanaullah","orcid":"0000-0003-4112-802X","full_name":"Sanaullah, Sanaullah"},{"first_name":"Amanullah","last_name":"Amanullah","full_name":"Amanullah, Amanullah"},{"full_name":"Roy, Kaushik ","last_name":"Roy","first_name":"Kaushik "},{"first_name":"Jeong-A ","full_name":"Lee, Jeong-A ","last_name":"Lee"},{"first_name":"Son ","full_name":"Chul-Jun, Son ","last_name":"Chul-Jun"},{"last_name":"Jungeblut","full_name":"Jungeblut, Thorsten","orcid":"0000-0001-7425-8766","id":"242294","first_name":"Thorsten"}],"date_updated":"2026-03-17T15:28:57Z","doi":"10.5281/zenodo.10458019","main_file_link":[{"open_access":"1","url":"https://www.researchgate.net/publication/377117919_A_Hybrid_Spiking-Convolutional_Neural_Network_Approach_for_Advancing_High-Quality_Image_Inpainting"}],"user_id":"242294","oa":"1","project":[{"name":"Institut für Systemdynamik und Mechatronik","_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b"}],"type":"conference_abstract","keyword":["hybrid SC-NN","SNN","CNN","Machine Learning"],"publication_status":"published","external_id":{"zenodo":["10.5281/zenodo.10458018"]},"date_created":"2024-01-04T13:04:42Z","title":"A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting"}]