{"id":"https://openalex.org/W3110636989","doi":"https://doi.org/10.1007/978-3-030-58565-5_38","title":"NODIS: Neural Ordinary Differential Scene Understanding","display_name":"NODIS: Neural Ordinary Differential Scene Understanding","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3110636989","doi":"https://doi.org/10.1007/978-3-030-58565-5_38","mag":"3110636989"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58565-5_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58565-5_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.utwente.nl/en/publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100622051","display_name":"Yuren Cong","orcid":"https://orcid.org/0000-0001-7505-8563"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuren Cong","raw_affiliation_strings":["Institute of Information Processing, Leibniz University, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046684947","display_name":"Hanno Ackermann","orcid":"https://orcid.org/0000-0001-7943-7974"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanno Ackermann","raw_affiliation_strings":["Institute of Information Processing, Leibniz University, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803082","display_name":"Wentong Liao","orcid":"https://orcid.org/0000-0002-0244-3863"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wentong Liao","raw_affiliation_strings":["Institute of Information Processing, Leibniz University, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014321482","display_name":"Michael Ying Yang","orcid":"https://orcid.org/0000-0002-0649-9987"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Michael Ying Yang","raw_affiliation_strings":["Scene Understanding Group, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scene Understanding Group, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Rosenhahn","raw_affiliation_strings":["Institute of Information Processing, Leibniz University, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing, Leibniz University, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014321482"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9397,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83206906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"636","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.8299198150634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7451666593551636},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.6432433128356934},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6114877462387085},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5648290514945984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392275452613831},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.51866614818573},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.4921366572380066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42521336674690247},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.424422025680542},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.41872477531433105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3863453269004822},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.2523888945579529},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16657394170761108},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.09229806065559387}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.8299198150634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451666593551636},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.6432433128356934},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6114877462387085},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5648290514945984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392275452613831},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.51866614818573},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.4921366572380066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42521336674690247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.424422025680542},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.41872477531433105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3863453269004822},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.2523888945579529},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16657394170761108},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.09229806065559387},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-58565-5_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58565-5_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cong, Y, Ackermann, H, Liao, W, Yang, M Y & Rosenhahn, B 2020, NODIS : Neural ordinary differential scene understanding. in A Vedaldi, H Bischof, T Brox & J M Frahm (eds), Computer Vision \u2013 ECCV 2020 : 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XX. Lecture Notes in Computer Science, vol. 12365, Springer, Cham, pp. 636-653, 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 23/08/20. https://doi.org/10.1007/978-3-030-58565-5_38","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:ris.utwente.nl:publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","is_oa":true,"landing_page_url":"https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2020/chap/yang_nod.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cong, Y, Ackermann, H, Liao, W, Yang, M Y & Rosenhahn, B 2020, NODIS : Neural ordinary differential scene understanding. in A Vedaldi, H Bischof, T Brox & J M Frahm (eds), Computer Vision \u2013 ECCV 2020 : 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XX. Lecture Notes in Computer Science, vol. 12365, Springer, Cham, pp. 636-653, 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 23/08/20. https://doi.org/10.1007/978-3-030-58565-5_38","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/f17fe8c4-9a29-47f8-8983-f5b74057de2c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cong, Y, Ackermann, H, Liao, W, Yang, M Y & Rosenhahn, B 2020, NODIS : Neural ordinary differential scene understanding. in A Vedaldi, H Bischof, T Brox & J M Frahm (eds), Computer Vision \u2013 ECCV 2020 : 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XX. Lecture Notes in Computer Science, vol. 12365, Springer, Cham, pp. 636-653, 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 23/08/20. https://doi.org/10.1007/978-3-030-58565-5_38","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4336068317","display_name":null,"funder_award_id":"RO 2497/12-2","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8201805516","display_name":null,"funder_award_id":"EXC 2122","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W569478347","https://openalex.org/W1686810756","https://openalex.org/W1748750709","https://openalex.org/W2046589395","https://openalex.org/W2049141170","https://openalex.org/W2077069816","https://openalex.org/W2141364309","https://openalex.org/W2247513039","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2519887557","https://openalex.org/W2522924858","https://openalex.org/W2579549467","https://openalex.org/W2605736949","https://openalex.org/W2607855566","https://openalex.org/W2613718673","https://openalex.org/W2617767802","https://openalex.org/W2777602943","https://openalex.org/W2795378892","https://openalex.org/W2799215407","https://openalex.org/W2808746463","https://openalex.org/W2810482788","https://openalex.org/W2886970679","https://openalex.org/W2887029921","https://openalex.org/W2890531016","https://openalex.org/W2917551568","https://openalex.org/W2941109201","https://openalex.org/W2950096400","https://openalex.org/W2950577311","https://openalex.org/W2950642807","https://openalex.org/W2955988340","https://openalex.org/W2962737704","https://openalex.org/W2962779575","https://openalex.org/W2962785943","https://openalex.org/W2962812272","https://openalex.org/W2963101956","https://openalex.org/W2963150697","https://openalex.org/W2963514444","https://openalex.org/W2963534356","https://openalex.org/W2963536419","https://openalex.org/W2963649796","https://openalex.org/W2963650529","https://openalex.org/W2963938081","https://openalex.org/W2964080601","https://openalex.org/W2964284374","https://openalex.org/W2964996054","https://openalex.org/W2969047925","https://openalex.org/W2969679616","https://openalex.org/W2982277980","https://openalex.org/W2985775525","https://openalex.org/W2987123286","https://openalex.org/W2992195701","https://openalex.org/W3034424919","https://openalex.org/W3091419984","https://openalex.org/W3098232790","https://openalex.org/W4241200240"],"related_works":["https://openalex.org/W3082668976","https://openalex.org/W2517973022","https://openalex.org/W1543121148","https://openalex.org/W1580703421","https://openalex.org/W2996841952","https://openalex.org/W2618518959","https://openalex.org/W2231364979","https://openalex.org/W4295745414","https://openalex.org/W4382202915","https://openalex.org/W2489516236"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
