{"id":"https://openalex.org/W2961433270","doi":"https://doi.org/10.1109/tpami.2019.2926728","title":"Joint Task-Recursive Learning for RGB-D Scene Understanding","display_name":"Joint Task-Recursive Learning for RGB-D Scene Understanding","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2961433270","doi":"https://doi.org/10.1109/tpami.2019.2926728","mag":"2961433270","pmid":"https://pubmed.ncbi.nlm.nih.gov/31295103"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2926728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2926728","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":["crossref","pubmed"],"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/A5100389499","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0001-5727-9450"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0001-5727-9450","affiliations":[{"raw_affiliation_string":"PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025396815","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0002-0543-4196"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Cui","raw_affiliation_strings":["PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-0543-4196","affiliations":[{"raw_affiliation_string":"PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054364063","display_name":"Chunyan Xu","orcid":"https://orcid.org/0000-0002-0814-4362"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Xu","raw_affiliation_strings":["PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-0814-4362","affiliations":[{"raw_affiliation_string":"PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075329194","display_name":"Zequn Jie","orcid":"https://orcid.org/0000-0002-3038-5891"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zequn Jie","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3038-5891","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"PCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4888,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86138115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"42","issue":"10","first_page":"2608","last_page":"2623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.7981538772583008},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6236461997032166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6174824237823486},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.49076399207115173},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4714435338973999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47062209248542786},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46404972672462463},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4442763328552246},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.42020249366760254},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4199838638305664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33679741621017456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981538772583008},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6236461997032166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174824237823486},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49076399207115173},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4714435338973999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47062209248542786},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46404972672462463},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4442763328552246},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.42020249366760254},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4199838638305664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33679741621017456},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2019.2926728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2926728","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:31295103","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31295103","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2157295044","display_name":"\u9012\u5f52\u5efa\u6a21\u7406\u8bba\u4e0e\u65b9\u6cd5\u53ca\u5176\u5728\u4eba\u8138\u5206\u6790\u4e2d\u7684\u5e94\u7528\u7814\u7a76","funder_award_id":"61772276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4776286764","display_name":null,"funder_award_id":"30918011321","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G635378778","display_name":null,"funder_award_id":"U1713208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8412521046","display_name":null,"funder_award_id":"61602244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W218762409","https://openalex.org/W337610345","https://openalex.org/W1536680647","https://openalex.org/W1565402342","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1803059841","https://openalex.org/W1899309388","https://openalex.org/W1905829557","https://openalex.org/W1915250530","https://openalex.org/W1923184257","https://openalex.org/W1923697677","https://openalex.org/W1992178727","https://openalex.org/W2024139303","https://openalex.org/W2026916986","https://openalex.org/W2062118960","https://openalex.org/W2103328396","https://openalex.org/W2108598243","https://openalex.org/W2124907686","https://openalex.org/W2132400125","https://openalex.org/W2143104527","https://openalex.org/W2146814781","https://openalex.org/W2149933564","https://openalex.org/W2151211319","https://openalex.org/W2166721725","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2221101993","https://openalex.org/W2291422229","https://openalex.org/W2303211814","https://openalex.org/W2339172515","https://openalex.org/W2395611524","https://openalex.org/W2436453945","https://openalex.org/W2476548250","https://openalex.org/W2489780108","https://openalex.org/W2550402137","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2605938684","https://openalex.org/W2606794968","https://openalex.org/W2609822318","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2775906317","https://openalex.org/W2776622059","https://openalex.org/W2777686015","https://openalex.org/W2796048785","https://openalex.org/W2798376494","https://openalex.org/W2798441115","https://openalex.org/W2798927139","https://openalex.org/W2805163084","https://openalex.org/W2810665122","https://openalex.org/W2895401575","https://openalex.org/W2913340405","https://openalex.org/W2939331721","https://openalex.org/W2951234442","https://openalex.org/W2959581809","https://openalex.org/W2962737939","https://openalex.org/W2962809185","https://openalex.org/W2963150697","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963498646","https://openalex.org/W2963500702","https://openalex.org/W2963563573","https://openalex.org/W2963591054","https://openalex.org/W2963601622","https://openalex.org/W2963677766","https://openalex.org/W2963877604","https://openalex.org/W2964070326","https://openalex.org/W2964125708","https://openalex.org/W2964185501","https://openalex.org/W2964309882","https://openalex.org/W4232280717","https://openalex.org/W4290996441","https://openalex.org/W4299518610","https://openalex.org/W4300126339","https://openalex.org/W6605121731","https://openalex.org/W6637373629","https://openalex.org/W6640295612","https://openalex.org/W6675415620","https://openalex.org/W6678569853","https://openalex.org/W6682132143","https://openalex.org/W6684360038","https://openalex.org/W6685261749","https://openalex.org/W6729541841","https://openalex.org/W6738279954","https://openalex.org/W6752237900","https://openalex.org/W6761494965","https://openalex.org/W6841467904"],"related_works":["https://openalex.org/W2168109476","https://openalex.org/W2486460843","https://openalex.org/W1968121071","https://openalex.org/W2372403409","https://openalex.org/W2020254986","https://openalex.org/W2061647633","https://openalex.org/W2883195674","https://openalex.org/W2072736607","https://openalex.org/W3080374445","https://openalex.org/W2964790801"],"abstract_inverted_index":{"RGB-D":[0,181],"scene":[1],"understanding":[2],"under":[3],"monocular":[4],"camera":[5],"is":[6,61,143,168],"an":[7],"emerging":[8],"and":[9,29,42,81,179,196],"challenging":[10],"topic":[11],"with":[12],"many":[13],"potential":[14],"applications.":[15],"In":[16,71],"this":[17],"paper,":[18],"we":[19,74,92],"propose":[20],"a":[21,52,79,96,147,171],"novel":[22],"Task-Recursive":[23],"Learning":[24],"(TRL)":[25],"framework":[26],"to":[27,101],"jointly":[28],"recurrently":[30],"conduct":[31],"three":[32],"representative":[33],"tasks":[34,77,104,117,195],"therein":[35],"containing":[36],"depth":[37],"estimation,":[38],"surface":[39],"normal":[40],"prediction":[41,49,167],"semantic":[43],"segmentation.":[44],"TRL":[45],"recursively":[46,83,188],"refines":[47,189],"the":[48,103,110,122,153,161,190,193],"results":[50,191],"through":[51],"series":[53],"of":[54,67,113,116,133,140,165,192],"task-level":[55,141],"interactions,":[56],"where":[57],"one-time":[58],"cross-task":[59],"interaction":[60],"abstracted":[62],"as":[63],"one":[64,68],"network":[65],"block":[66],"time":[69],"stage.":[70],"each":[72,106],"stage,":[73],"serialize":[75],"multiple":[76],"into":[78,95,121,170],"sequence":[80,139,163],"then":[82],"perform":[84],"their":[85],"interactions.":[86],"To":[87],"adaptively":[88],"enhance":[89],"counterpart":[90],"patterns,":[91],"encapsulate":[93],"interactions":[94,142],"specific":[97],"Task-Attentional":[98],"Module":[99],"(TAM)":[100],"mutually-boost":[102],"from":[105],"other.":[107],"Across":[108],"stages,":[109],"historical":[111],"experiences":[112],"previous":[114],"states":[115],"are":[118],"selectively":[119],"propagated":[120],"next":[123],"stages":[124],"by":[125],"using":[126],"Feature-Selection":[127],"unit":[128],"(FS-Unit),":[129],"which":[130],"takes":[131],"advantage":[132],"complementary":[134],"information":[135],"across":[136],"tasks.":[137],"The":[138],"also":[144],"evolved":[145],"along":[146],"coarse-to-fine":[148],"scale":[149],"space":[150],"such":[151],"that":[152,184],"required":[154],"details":[155],"may":[156],"be":[157],"refined":[158],"progressively.":[159],"Finally":[160],"task-abstracted":[162],"problem":[164],"multi-task":[166],"framed":[169],"recursive":[172],"network.":[173],"Extensive":[174],"experiments":[175],"on":[176],"NYU-Depth":[177],"v2":[178],"SUN":[180],"datasets":[182],"demonstrate":[183],"our":[185],"method":[186],"can":[187],"triple":[194],"achieves":[197],"state-of-the-art":[198],"performance.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}