{"id":"https://openalex.org/W4417073203","doi":"https://doi.org/10.1145/3743093.3771005","title":"Spatial Momentum Networks: Physics-Guided Efficient Attention Fusion Method","display_name":"Spatial Momentum Networks: Physics-Guided Efficient Attention Fusion Method","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W4417073203","doi":"https://doi.org/10.1145/3743093.3771005"},"language":null,"primary_location":{"id":"doi:10.1145/3743093.3771005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3771005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-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/A5029212872","display_name":"Mengmeng Yu","orcid":"https://orcid.org/0009-0009-8825-9327"},"institutions":[{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]},{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengmeng Yu","raw_affiliation_strings":["Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I905225518","https://openalex.org/I11406153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607533","display_name":"Xiang Fu","orcid":"https://orcid.org/0009-0001-9147-4353"},"institutions":[{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]},{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Fu","raw_affiliation_strings":["Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I905225518","https://openalex.org/I11406153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067859928","display_name":"Huizheng Yu","orcid":"https://orcid.org/0009-0002-7613-4139"},"institutions":[{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]},{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizheng Yu","raw_affiliation_strings":["Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I905225518","https://openalex.org/I11406153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019843596","display_name":"Caiyun Fan","orcid":"https://orcid.org/0000-0002-7205-7212"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]},{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiyun Fan","raw_affiliation_strings":["Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of International Business and Economics (SUIBE), Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I905225518","https://openalex.org/I11406153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029212872"],"corresponding_institution_ids":["https://openalex.org/I11406153","https://openalex.org/I905225518"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42578275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4821000099182129,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4821000099182129,"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":0.0754999965429306,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.046799998730421066,"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/fusion","display_name":"Fusion","score":0.663100004196167},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5249000191688538},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4788999855518341},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.4625999927520752},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.45399999618530273},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4440999925136566},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.40049999952316284}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.663100004196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166999936103821},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5249000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4440999925136566},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3580000102519989},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32659998536109924},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C152991086","wikidata":"https://www.wikidata.org/wiki/Q1225362","display_name":"Position and momentum space","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.27649998664855957},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3743093.3771005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3771005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2805089611","https://openalex.org/W2884585870","https://openalex.org/W2962754725","https://openalex.org/W2963446712","https://openalex.org/W3013286786","https://openalex.org/W3034971973","https://openalex.org/W3094897602","https://openalex.org/W3195438473","https://openalex.org/W3205535720","https://openalex.org/W4288039037","https://openalex.org/W4367843684","https://openalex.org/W4387106408","https://openalex.org/W4391927311","https://openalex.org/W4398243947","https://openalex.org/W4400723015","https://openalex.org/W4401112309","https://openalex.org/W4402137675","https://openalex.org/W4403318601"],"related_works":[],"abstract_inverted_index":{"Multi-scale":[0],"attention":[1,50,73,97,104,132,189],"fusion":[2,35,51,74,122,142,164],"methods,":[3],"such":[4],"as":[5,62,113],"concatenation,":[6],"weighted":[7],"fusion,":[8,190],"and":[9,17,31,64,136,160,171,184],"gating,":[10],"are":[11],"widely":[12],"used":[13],"for":[14,187,198],"their":[15],"simplicity":[16],"versatility.":[18],"However,":[19],"these":[20,39],"foundational":[21],"methods":[22,157],"face":[23],"challenges":[24],"in":[25,33,71,158],"feature":[26,128],"representation":[27],"optimization,":[28],"computational":[29,172],"efficiency,":[30],"adaptability":[32],"complex":[34],"scenarios.":[36],"To":[37],"address":[38],"issues,":[40],"this":[41,112],"paper":[42],"proposes":[43],"Spatial":[44],"Momentum":[45],"Networks":[46],"(SMN),":[47],"a":[48,126],"lightweight":[49],"method":[52],"inspired":[53],"by":[54],"physical":[55],"momentum":[56,66,84],"principles.":[57],"SMN":[58,99,139,154,180],"models":[59],"spatial":[60,114,134],"positions":[61],"particles":[63],"applies":[65],"to":[67,107,175],"capture":[68],"dynamic":[69,94],"changes":[70],"the":[72,81,86,93,101,108,118,192],"process.":[75],"This":[76],"analogy":[77],"is":[78],"based":[79],"on":[80,149],"idea":[82],"that":[83,130,153],"reflects":[85],"intensity":[87],"of":[88,96,103,120],"motion":[89],"changes,":[90],"aligning":[91],"with":[92,191],"nature":[95],"fusion.":[98],"computes":[100],"deviation":[102],"differences":[105],"relative":[106],"neighborhood":[109],"mean,":[110],"defining":[111],"momentum,":[115,135],"which":[116],"guides":[117],"generation":[119],"adaptive":[121],"weights.":[123],"By":[124],"constructing":[125],"three-dimensional":[127],"space":[129],"integrates":[131],"differences,":[133],"global":[137],"semantics,":[138],"effectively":[140],"learns":[141],"strategies":[143],"from":[144],"multi-scale":[145,188],"features.":[146],"Experimental":[147],"results":[148],"multiple":[150],"datasets":[151],"demonstrate":[152],"outperforms":[155],"traditional":[156],"applicability":[159],"stability":[161],"across":[162],"various":[163],"environments,":[165],"while":[166],"significantly":[167],"reducing":[168],"both":[169],"parameters":[170],"overhead":[173],"compared":[174],"gating":[176],"methods.":[177],"In":[178],"conclusion,":[179],"offers":[181],"an":[182],"efficient":[183],"stable":[185],"solution":[186],"momentum-based":[193],"approach":[194],"providing":[195],"new":[196],"insights":[197],"future":[199],"research.":[200]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-06T00:00:00"}