{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:43:34Z","timestamp":1766486614635,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,12,9]]},"DOI":"10.1145\/3359993.3366646","type":"proceedings-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T13:56:52Z","timestamp":1574258212000},"page":"15-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["Towards Executing Computer Vision Functionality on Programmable Network Devices"],"prefix":"10.1145","author":[{"given":"Ren\u00e9","family":"Glebke","sequence":"first","affiliation":[{"name":"RWTH Aachen University"}]},{"given":"Johannes","family":"Krude","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}]},{"given":"Ike","family":"Kunze","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}]},{"given":"Jan","family":"R\u00fcth","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}]},{"given":"Felix","family":"Senger","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}]},{"given":"Klaus","family":"Wehrle","sequence":"additional","affiliation":[{"name":"RWTH Aachen University"}]}],"member":"320","published-online":{"date-parts":[[2019,12,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-015-0535-1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.23919\/ELINFOCOM.2018.8330719"},{"key":"e_1_3_2_1_3_1","unstructured":"Barefoot Networks. 2019. The World's Fastest & Most Programmable Networks. (2019). https:\/\/www.barefootnetworks.com\/resources\/worlds-fastest-most-programmable-networks\/  Barefoot Networks. 2019. The World's Fastest & Most Programmable Networks. (2019). https:\/\/www.barefootnetworks.com\/resources\/worlds-fastest-most-programmable-networks\/"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2656877.2656890"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2486001.2486011"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2019.2907539"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2019.871"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793949"},{"key":"e_1_3_2_1_9_1","unstructured":"Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto and Hartwig Adam. 2017. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. (2017). arXiv:arXiv:1704.04861  Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto and Hartwig Adam. 2017. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. (2017). arXiv:arXiv:1704.04861"},{"key":"e_1_3_2_1_10_1","unstructured":"Forrest N. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size. (2016). arXiv:arXiv:1602.07360  Forrest N. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size. (2016). arXiv:arXiv:1602.07360"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132764"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338852.3339840"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"K. Kottari and V. Delibasis K.and Plagianakos. 2018. Real time vision-based measurements for quality control of industrial rods on a moving conveyor. Multimedia Tools and Applications 77 8 (01 Apr 2018) 9307--9324.  K. Kottari and V. Delibasis K.and Plagianakos. 2018. Real time vision-based measurements for quality control of industrial rods on a moving conveyor. Multimedia Tools and Applications 77 8 (01 Apr 2018) 9307--9324.","DOI":"10.1007\/s11042-017-4891-7"},{"volume-title":"Advances in Neural Information Processing Systems 25","author":"Krizhevsky Alex","key":"e_1_3_2_1_14_1"},{"volume-title":"Online Reprogrammable Multi Tenant Switches. In 1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms (ENCP '19)","year":"2019","author":"Krude Johannes","key":"e_1_3_2_1_15_1"},{"volume-title":"2019 IFIP\/IEEE Symposium on Integrated Network and Service Management (IM). IEEE","author":"Lapolli C.","key":"e_1_3_2_1_16_1"},{"volume-title":"The Case for Network-Accelerated Query Processing. In 9th Biennial Conference on Innovative Data Systems Research (CIDR '19)","year":"2019","author":"Lernen Alberto","key":"e_1_3_2_1_17_1"},{"volume-title":"12th USENIX Symposium on Operating Systems Design and Implementation (OSDI '16)","author":"Li Jialin","key":"e_1_3_2_1_18_1"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.01.019"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098824"},{"key":"e_1_3_2_1_21_1","unstructured":"Netronome. 2019. Agilio CX SmartNICs. (2019). https:\/\/www.netronome.com\/products\/agilio-cx\/  Netronome. 2019. Agilio CX SmartNICs. (2019). https:\/\/www.netronome.com\/products\/agilio-cx\/"},{"key":"e_1_3_2_1_22_1","article-title":"Passive Vision Region-Based Road Detection","volume":"52","author":"Rateke Thiago","year":"2019","journal-title":"A Literature Review. ACM Comput. Surv."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3229591.3229592"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3152434.3152461"},{"key":"e_1_3_2_1_25_1","unstructured":"Amedeo Sapio Marco Canini Chen-Yu Ho Jacob Nelson Panos Kalnis Changhoon Kim Arvind Krishnamurthy Masoud Moshref Dan RK Ports and Peter Richt\u00e1rik. 2019. Scaling Distributed Machine Learning with In-Network Aggregation. Technical Report. KAUST. https:\/\/arxiv.org\/abs\/1903.06701v1  Amedeo Sapio Marco Canini Chen-Yu Ho Jacob Nelson Panos Kalnis Changhoon Kim Arvind Krishnamurthy Masoud Moshref Dan RK Ports and Peter Richt\u00e1rik. 2019. Scaling Distributed Machine Learning with In-Network Aggregation. Technical Report. KAUST. https:\/\/arxiv.org\/abs\/1903.06701v1"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Muhamad Risqi U. Saputra Andrew Markham and Niki Trigoni. 2018. Visual SLAM and Structure from Motion in Dynamic Environments: A Survey. ACM Comput. Surv. 51 2 Article 37 (Feb. 2018) 36 pages. DOI:http:\/\/dx.doi.org\/10.1145\/3177853  Muhamad Risqi U. Saputra Andrew Markham and Niki Trigoni. 2018. Visual SLAM and Structure from Motion in Dynamic Environments: A Survey. ACM Comput. Surv. 51 2 Article 37 (Feb. 2018) 36 pages. DOI:http:\/\/dx.doi.org\/10.1145\/3177853","DOI":"10.1145\/3177853"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/76.564116"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/332799.332893"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3050220.3063772"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/231699.231701"},{"key":"e_1_3_2_1_31_1","unstructured":"The P4 Language Consortium. 2018. P416 Language Specification version 1.1.0. (30 11 2018). https:\/\/p4.org\/p4-spec\/docs\/P4-16-v1.1.0-spec.html  The P4 Language Consortium. 2018. P416 Language Specification version 1.1.0. (30 11 2018). https:\/\/p4.org\/p4-spec\/docs\/P4-16-v1.1.0-spec.html"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2899946"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/SEC.2018.00019"},{"volume-title":"The SOFTNET Project: A Retrospect. In 8th European Conference on Electrotechnics, Conference Proceedings on Area Communication (EUROCON '88)","author":"Zander J.","key":"e_1_3_2_1_34_1"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Xin Zhang Yee-Hong Yang Zhiguang Han Hui Wang and Chao Gao. 2013. Object Class Detection: A Survey. ACM Comput. Surv. 46 1 Article 10 (July 2013) 53 pages. DOI: http:\/\/dx.doi.org\/10.1145\/2522968.2522978  Xin Zhang Yee-Hong Yang Zhiguang Han Hui Wang and Chao Gao. 2013. Object Class Detection: A Survey. ACM Comput. Surv. 46 1 Article 10 (July 2013) 53 pages. DOI: http:\/\/dx.doi.org\/10.1145\/2522968.2522978","DOI":"10.1145\/2522968.2522978"}],"event":{"name":"CoNEXT '19: The 15th International Conference on emerging Networking EXperiments and Technologies","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"],"location":"Orlando FL USA","acronym":"CoNEXT '19"},"container-title":["Proceedings of the 1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3359993.3366646","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3359993.3366646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:28Z","timestamp":1750202008000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3359993.3366646"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,9]]},"references-count":35,"alternative-id":["10.1145\/3359993.3366646","10.1145\/3359993"],"URL":"https:\/\/doi.org\/10.1145\/3359993.3366646","relation":{},"subject":[],"published":{"date-parts":[[2019,12,9]]},"assertion":[{"value":"2019-12-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}