{"id":"https://openalex.org/W7148973301","doi":"https://doi.org/10.48550/arxiv.2604.01714","title":"End-to-End Shared Attention Estimation via Group Detection with Feedback Refinement","display_name":"End-to-End Shared Attention Estimation via Group Detection with Feedback Refinement","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148973301","doi":"https://doi.org/10.48550/arxiv.2604.01714"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01714","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.01714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042267985","display_name":"Chihiro Nakatani","orcid":"https://orcid.org/0009-0000-5966-2672"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nakatani, Chihiro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132919177","display_name":"Norimichi Ukita","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ukita, Norimichi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053358969","display_name":"Jean\u2010Marc Odobez","orcid":"https://orcid.org/0000-0002-9537-9898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Odobez, Jean-Marc","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042267985"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.666100025177002,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.666100025177002,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.2630000114440918,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.007499999832361937,"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/group","display_name":"Group (periodic table)","score":0.7588000297546387},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5993000268936157},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5472999811172485},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5230000019073486},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.48240000009536743}],"concepts":[{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.7588000297546387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682000160217285},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5472999811172485},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4708999991416931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38960000872612},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01714","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.01714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01714","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4047876000404358}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"end-to-end":[4],"shared":[5,16,66,131],"attention":[6,17,67,84,132],"estimation":[7,68],"method":[8,123],"via":[9],"group":[10,23,63,87,93,101,128],"detection.":[11],"Most":[12],"previous":[13],"methods":[14,126],"estimate":[15],"(SA)":[18],"without":[19],"detecting":[20],"the":[21,45,75,99,107,112,116,137,140],"actual":[22],"of":[24,47,77,98,115,139],"people":[25],"focusing":[26],"on":[27,81],"it,":[28],"or":[29],"assume":[30],"that":[31,121],"there":[32],"is":[33],"a":[34,39,70,92,96],"single":[35],"SA":[36,48,78,109,117],"point":[37],"in":[38,50,91,127],"given":[40],"image.":[41],"These":[42],"issues":[43],"limit":[44],"applicability":[46],"detection":[49,64,129],"practice":[51],"and":[52,65,86,111,130],"impact":[53],"performance.":[54],"To":[55],"address":[56],"them,":[57],"we":[58],"propose":[59],"to":[60,104],"simultaneously":[61],"achieve":[62],"using":[69],"two":[71],"step":[72],"process:":[73],"(i)":[74],"generation":[76],"heatmaps":[79,85],"relying":[80],"individual":[82],"gaze":[83],"membership":[88],"scalars":[89],"estimated":[90],"inference;":[94],"(ii)":[95],"refinement":[97],"initial":[100,108],"memberships":[102],"allowing":[103],"account":[105],"for":[106],"heatmaps,":[110],"final":[113],"prediction":[114],"heatmap.":[118],"Experiments":[119],"demonstrate":[120],"our":[122],"outperforms":[124],"other":[125],"estimation.":[133],"Additional":[134],"analyses":[135],"validate":[136],"effectiveness":[138],"proposed":[141],"components.":[142],"Code:":[143],"https://github.com/chihina/sagd-CVPRW2026.":[144]},"counts_by_year":[],"updated_date":"2026-04-04T06:15:33.020886","created_date":"2026-04-04T00:00:00"}