{"id":"https://openalex.org/W4401814346","doi":"https://doi.org/10.1007/s11263-024-02216-2","title":"Toward Accurate and Robust Pedestrian Detection via Variational Inference","display_name":"Toward Accurate and Robust Pedestrian Detection via Variational Inference","publication_year":2024,"publication_date":"2024-08-22","ids":{"openalex":"https://openalex.org/W4401814346","doi":"https://doi.org/10.1007/s11263-024-02216-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02216-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-024-02216-2","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","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/A5102938165","display_name":"Huanyu He","orcid":"https://orcid.org/0000-0003-4110-1919"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanyu He","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059372830","display_name":"Weiyao Lin","orcid":"https://orcid.org/0000-0001-8307-7107"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiyao Lin","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793600","display_name":"Yuang Zhang","orcid":"https://orcid.org/0000-0002-4702-3352"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuang Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111299018","display_name":"Tianyao He","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyao He","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674060","display_name":"Yuxi Li","orcid":"https://orcid.org/0000-0003-1556-598X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Li","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368377","display_name":"Jianguo Li","orcid":"https://orcid.org/0000-0002-8645-0680"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianguo Li","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059372830"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":0.7708,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72402772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"133","issue":"2","first_page":"867","last_page":"889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6702970862388611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5916020274162292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5867196321487427},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5787583589553833},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5388796329498291},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5020568370819092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49859189987182617},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4969384968280792},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.47261738777160645},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46775078773498535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36164212226867676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32472872734069824},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.1581568419933319},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15563946962356567}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6702970862388611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5916020274162292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5867196321487427},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5787583589553833},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5388796329498291},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5020568370819092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49859189987182617},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4969384968280792},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.47261738777160645},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46775078773498535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36164212226867676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32472872734069824},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.1581568419933319},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15563946962356567},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-024-02216-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-024-02216-2","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1772076007","https://openalex.org/W1861492603","https://openalex.org/W2031454541","https://openalex.org/W2034376463","https://openalex.org/W2046765929","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2119717200","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2497039038","https://openalex.org/W2559655401","https://openalex.org/W2565639579","https://openalex.org/W2594507094","https://openalex.org/W2604272474","https://openalex.org/W2612624696","https://openalex.org/W2883363148","https://openalex.org/W2884561390","https://openalex.org/W2886335102","https://openalex.org/W2886904239","https://openalex.org/W2894820835","https://openalex.org/W2920326761","https://openalex.org/W2938260698","https://openalex.org/W2962677013","https://openalex.org/W2962766617","https://openalex.org/W2963404857","https://openalex.org/W2963681621","https://openalex.org/W2963769056","https://openalex.org/W2964080601","https://openalex.org/W2964121718","https://openalex.org/W2970575838","https://openalex.org/W2981958729","https://openalex.org/W2982770724","https://openalex.org/W2989824617","https://openalex.org/W2990075400","https://openalex.org/W2997258722","https://openalex.org/W2997344726","https://openalex.org/W3006009210","https://openalex.org/W3011654159","https://openalex.org/W3034638324","https://openalex.org/W3035323039","https://openalex.org/W3035396860","https://openalex.org/W3092687228","https://openalex.org/W3096609285","https://openalex.org/W3104819538","https://openalex.org/W3105922748","https://openalex.org/W3108849448","https://openalex.org/W3164098653","https://openalex.org/W3173632533","https://openalex.org/W3176187859","https://openalex.org/W3187089511","https://openalex.org/W4212774754","https://openalex.org/W4386083115","https://openalex.org/W6640963894","https://openalex.org/W6728917834","https://openalex.org/W6766373819"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2146591867","https://openalex.org/W2751005898"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-02-06T02:01:19.302388","created_date":"2025-10-10T00:00:00"}