{"id":"https://openalex.org/W3112288616","doi":"https://doi.org/10.1109/tpami.2020.3043781","title":"Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction","display_name":"Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3112288616","doi":"https://doi.org/10.1109/tpami.2020.3043781","mag":"3112288616","pmid":"https://pubmed.ncbi.nlm.nih.gov/33301402"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3043781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3043781","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.02843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101871462","display_name":"Dan Xu","orcid":"https://orcid.org/0000-0002-7718-6224"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621495","display_name":"Xavier Alameda-Pineda","orcid":"https://orcid.org/0000-0002-5354-1084"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Alameda-Pineda","raw_affiliation_strings":["Perception Group, INRIA, Monbonnot Saint-Martin, Isere, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Perception Group, INRIA, Monbonnot Saint-Martin, Isere, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087818121","display_name":"Wanli Ouyang","orcid":"https://orcid.org/0000-0002-9163-2761"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanli Ouyang","raw_affiliation_strings":["Department of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065059558","display_name":"Elisa Ricci","orcid":"https://orcid.org/0000-0002-0228-1147"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisa Ricci","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444820","display_name":"Xiaogang Wang","orcid":"https://orcid.org/0000-0002-7929-5889"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaogang Wang","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicu Sebe","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1539,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.78910452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"44","issue":"5","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7468406558036804},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7118272185325623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7103874087333679},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6244639754295349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5966472625732422},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.506723940372467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5006458759307861},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47965601086616516},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47180286049842834},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46581247448921204},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.45845121145248413},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4497532248497009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.403251051902771},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12385666370391846}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7468406558036804},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7118272185325623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103874087333679},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6244639754295349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5966472625732422},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.506723940372467},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5006458759307861},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47965601086616516},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47180286049842834},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46581247448921204},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.45845121145248413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4497532248497009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.403251051902771},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12385666370391846},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tpami.2020.3043781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3043781","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:33301402","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33301402","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2101.02843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.02843","pdf_url":"https://arxiv.org/pdf/2101.02843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03328687v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03328687","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44 (5), pp.2673-2688. ⟨10.1109/TPAMI.2020.3043781⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unitn.it:11572/285511","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/285511","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-109851","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85097961751&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-109851","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-109851","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.02843","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.02843","pdf_url":"https://arxiv.org/pdf/2101.02843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":116,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W300523764","https://openalex.org/W360623563","https://openalex.org/W845365781","https://openalex.org/W1495267108","https://openalex.org/W1518636435","https://openalex.org/W1565402342","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1910619957","https://openalex.org/W1915250530","https://openalex.org/W1923115158","https://openalex.org/W1923697677","https://openalex.org/W1924770834","https://openalex.org/W1928906481","https://openalex.org/W1929880813","https://openalex.org/W1930528368","https://openalex.org/W1948751323","https://openalex.org/W1976047850","https://openalex.org/W1999478155","https://openalex.org/W2040072996","https://openalex.org/W2067191022","https://openalex.org/W2067912884","https://openalex.org/W2095844239","https://openalex.org/W2108598243","https://openalex.org/W2110158442","https://openalex.org/W2115579991","https://openalex.org/W2119300483","https://openalex.org/W2121947440","https://openalex.org/W2124592697","https://openalex.org/W2125215748","https://openalex.org/W2125416623","https://openalex.org/W2129587342","https://openalex.org/W2132947399","https://openalex.org/W2151049637","https://openalex.org/W2161236525","https://openalex.org/W2168804568","https://openalex.org/W2194775991","https://openalex.org/W2300687442","https://openalex.org/W2300779272","https://openalex.org/W2323866876","https://openalex.org/W2412782625","https://openalex.org/W2436453945","https://openalex.org/W2483076098","https://openalex.org/W2520707372","https://openalex.org/W2530966705","https://openalex.org/W2560023338","https://openalex.org/W2593414960","https://openalex.org/W2593915460","https://openalex.org/W2605938684","https://openalex.org/W2608295741","https://openalex.org/W2609883120","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2783877714","https://openalex.org/W2798441115","https://openalex.org/W2798874329","https://openalex.org/W2890782586","https://openalex.org/W2890949887","https://openalex.org/W2895314356","https://openalex.org/W2895401575","https://openalex.org/W2940262938","https://openalex.org/W2955058313","https://openalex.org/W2959581809","https://openalex.org/W2962816904","https://openalex.org/W2962891704","https://openalex.org/W2962960377","https://openalex.org/W2963108253","https://openalex.org/W2963110069","https://openalex.org/W2963319519","https://openalex.org/W2963488291","https://openalex.org/W2963517541","https://openalex.org/W2963591054","https://openalex.org/W2963652981","https://openalex.org/W2963654727","https://openalex.org/W2963723365","https://openalex.org/W2963727650","https://openalex.org/W2963753570","https://openalex.org/W2963840672","https://openalex.org/W2963906250","https://openalex.org/W2964014680","https://openalex.org/W2964024357","https://openalex.org/W2982478332","https://openalex.org/W2986390834","https://openalex.org/W3014641072","https://openalex.org/W3097571420","https://openalex.org/W3103868522","https://openalex.org/W3109301572","https://openalex.org/W4241071816","https://openalex.org/W6612134913","https://openalex.org/W6623517193","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6640212811","https://openalex.org/W6678718344","https://openalex.org/W6682082992","https://openalex.org/W6682137061","https://openalex.org/W6682239955","https://openalex.org/W6683226453","https://openalex.org/W6684191040","https://openalex.org/W6685261749","https://openalex.org/W6696085341","https://openalex.org/W6696310042","https://openalex.org/W6729677316","https://openalex.org/W6734375575","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6744497706","https://openalex.org/W6745447533","https://openalex.org/W6753552934","https://openalex.org/W6754879843","https://openalex.org/W6761630670","https://openalex.org/W6766261854","https://openalex.org/W6767877151"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W2093471820","https://openalex.org/W2347460059","https://openalex.org/W50079190","https://openalex.org/W3136048405","https://openalex.org/W182104056","https://openalex.org/W2493838176","https://openalex.org/W4297686120"],"abstract_inverted_index":{"Multi-scale":[0],"representations":[1,99],"deeply":[2],"learned":[3],"via":[4],"convolutional":[5],"neural":[6],"networks":[7],"have":[8],"shown":[9],"tremendous":[10],"importance":[11],"for":[12,94,191],"various":[13],"pixel-level":[14,33],"prediction":[15,34,149,163],"problems.":[16],"In":[17,46,104],"this":[18],"paper":[19],"we":[20,76,116],"present":[21],"a":[22,36,62,78,86,101],"novel":[23,87],"approach":[24],"that":[25],"advances":[26],"the":[27,30,58,69,109,113,125,172,175,181],"state":[28],"of":[29,61,112,174],"art":[31],"on":[32,85,133,145],"in":[35,100],"fundamental":[37],"aspect,":[38],"i.e.":[39],"structured":[40,192],"multi-scale":[41,53,98],"features":[42,70],"learning":[43,95,110,194],"and":[44,66,96,142,144,154,164,168,180,195],"fusion.":[45],"contrast":[47],"to":[48,106,118],"previous":[49],"works":[50],"directly":[51],"considering":[52],"feature":[54,120,188,193],"maps":[55],"obtained":[56],"from":[57],"inner":[59],"layers":[60],"primary":[63],"CNN":[64],"architecture,":[65],"simply":[67],"fusing":[68,97],"with":[71,187],"weighted":[72],"averaging":[73],"or":[74],"concatenation,":[75],"propose":[77,117],"probabilistic":[79,127,183],"graph":[80,184],"attention":[81,185],"network":[82,114,186],"structure":[83],"based":[84],"Attention-Gated":[88],"Conditional":[89],"Random":[90],"Fields":[91],"(AG-CRFs)":[92],"model":[93,179],"principled":[102],"manner.":[103],"order":[105],"further":[107],"improve":[108],"capacity":[111],"structure,":[115],"exploit":[119],"dependant":[121],"conditional":[122,189],"kernels":[123,190],"within":[124],"deep":[126],"framework.":[128],"Extensive":[129],"experiments":[130],"are":[131],"conducted":[132],"four":[134],"publicly":[135],"available":[136],"datasets":[137],"(i.e.":[138,157],"BSDS500,":[139],"NYUD-V2,":[140],"KITTI":[141],"Pascal-Context)":[143],"three":[146],"challenging":[147],"pixel-wise":[148,196],"problems":[150],"involving":[151],"both":[152],"discrete":[153],"continuous":[155],"labels":[156],"monocular":[158],"depth":[159],"estimation,":[160],"object":[161],"contour":[162],"semantic":[165],"segmentation).":[166],"Quantitative":[167],"qualitative":[169],"results":[170],"demonstrate":[171],"effectiveness":[173],"proposed":[176],"latent":[177],"AG-CRF":[178],"overall":[182],"prediction.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}