{"id":"https://openalex.org/W7160161864","doi":"https://doi.org/10.1109/iccv51701.2025.00747","title":"Learning Normal Flow Directly from Events","display_name":"Learning Normal Flow Directly from Events","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7160161864","doi":"https://doi.org/10.1109/iccv51701.2025.00747"},"language":null,"primary_location":{"id":"doi:10.1109/iccv51701.2025.00747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066054182","display_name":"Dehao Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dehao Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040357530","display_name":"Levi Burner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Levi Burner","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135225813","display_name":"Jiayi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiayi Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135196999","display_name":"Minghui Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghui Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064238647","display_name":"Jingxi Chen","orcid":"https://orcid.org/0009-0000-0526-6068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingxi Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036912867","display_name":"Yiannis Aloimonos","orcid":"https://orcid.org/0000-0002-8152-4281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiannis Aloimonos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083553427","display_name":"Cornelia Ferm\u00fcller","orcid":"https://orcid.org/0000-0003-2044-2386"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cornelia Ferm\u00fcller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7643668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7969","last_page":"7979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.5814999938011169,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.5814999938011169,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.04879999905824661,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.027300000190734863,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv51701.2025.00747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1536720360","https://openalex.org/W1539361405","https://openalex.org/W1975697167","https://openalex.org/W1998339166","https://openalex.org/W2040324237","https://openalex.org/W2092252351","https://openalex.org/W2127490113","https://openalex.org/W2400276193","https://openalex.org/W2585204098","https://openalex.org/W2785582094","https://openalex.org/W2788172931","https://openalex.org/W2796368857","https://openalex.org/W2904275768","https://openalex.org/W2922107638","https://openalex.org/W2955504279","https://openalex.org/W2963057320","https://openalex.org/W2968243907","https://openalex.org/W3016922390","https://openalex.org/W3044665958","https://openalex.org/W3107714803","https://openalex.org/W4205982568","https://openalex.org/W4206212670","https://openalex.org/W4214755140","https://openalex.org/W4214881917","https://openalex.org/W4283823181","https://openalex.org/W4309160143","https://openalex.org/W4312795764","https://openalex.org/W4313029475","https://openalex.org/W4313644212","https://openalex.org/W4316464849","https://openalex.org/W4376136446","https://openalex.org/W4386083131","https://openalex.org/W4386634677","https://openalex.org/W4389666540","https://openalex.org/W4390871818","https://openalex.org/W4390873605","https://openalex.org/W4390874054","https://openalex.org/W4390874104","https://openalex.org/W4390874734","https://openalex.org/W4391467999","https://openalex.org/W4399601062","https://openalex.org/W4401016650","https://openalex.org/W4401415889","https://openalex.org/W4402354015","https://openalex.org/W4402702993","https://openalex.org/W4403878279","https://openalex.org/W4409014613","https://openalex.org/W7133203362","https://openalex.org/W7133207924"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-05T00:00:00"}