{"id":"https://openalex.org/W4394592971","doi":"https://doi.org/10.1109/wacv57701.2024.00798","title":"CATS: Combined Activation and Temporal Suppression for Efficient Network Inference","display_name":"CATS: Combined Activation and Temporal Suppression for Efficient Network Inference","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4394592971","doi":"https://doi.org/10.1109/wacv57701.2024.00798"},"language":"en","primary_location":{"id":"doi:10.1109/wacv57701.2024.00798","doi":"https://doi.org/10.1109/wacv57701.2024.00798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv57701.2024.00798","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/81601529-c6f0-43df-9ac8-a970332f43a1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063811722","display_name":"Zeqi Zhu","orcid":"https://orcid.org/0000-0002-8614-9855","observed_orcids":["https://orcid.org/0000-0002-8614-9855"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zeqi Zhu","raw_affiliation_strings":["GrAI Matter Labs B.V","Eindhoven University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GrAI Matter Labs B.V","institution_ids":[]},{"raw_affiliation_string":"Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085030425","display_name":"Arash Pourtaherian","orcid":"https://orcid.org/0000-0003-4542-1354","observed_orcids":["https://orcid.org/0000-0003-4542-1354"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arash Pourtaherian","raw_affiliation_strings":["GrAI Matter Labs B.V"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GrAI Matter Labs B.V","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069322635","display_name":"Luc Waeijen","orcid":"https://orcid.org/0000-0003-3491-0777","observed_orcids":["https://orcid.org/0000-0003-3491-0777"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luc Waeijen","raw_affiliation_strings":["GrAI Matter Labs B.V"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GrAI Matter Labs B.V","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064965216","display_name":"\u0130brahim Batuhan Akkaya","orcid":"https://orcid.org/0000-0003-2663-846X","observed_orcids":["https://orcid.org/0000-0003-2663-846X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibrahim Batuhan Akkaya","raw_affiliation_strings":["GrAI Matter Labs B.V"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GrAI Matter Labs B.V","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069685461","display_name":"Egor Bondarev","orcid":"https://orcid.org/0009-0005-2452-7389","observed_orcids":["https://orcid.org/0009-0005-2452-7389"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Egor Bondarev","raw_affiliation_strings":["Eindhoven University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104101757","display_name":"Orlando Moreira","orcid":"https://orcid.org/0000-0003-2362-4169","observed_orcids":["https://orcid.org/0000-0003-2362-4169"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orlando Moreira","raw_affiliation_strings":["GrAI Matter Labs B.V"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GrAI Matter Labs B.V","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3614,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72794269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"8151","last_page":"8160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8134999871253967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8134999871253967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.15520000457763672,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/neuromorphic-vision","display_name":"neuromorphic vision","score":0.734000027179718},{"id":"https://openalex.org/keywords/neuromorphic-computing","display_name":"neuromorphic computing","score":0.6209999918937683},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.47600001096725464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878710389137268},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6264495849609375},{"id":"https://openalex.org/C2779904517","wikidata":"https://www.wikidata.org/wiki/Q5008900","display_name":"CATS","level":2,"score":0.576442539691925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2944414019584656},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08704987168312073}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv57701.2024.00798","doi":"https://doi.org/10.1109/wacv57701.2024.00798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv57701.2024.00798","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire/81601529-c6f0-43df-9ac8-a970332f43a1","doi":null,"is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/81601529-c6f0-43df-9ac8-a970332f43a1","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zhu, Z, Pourtaherian, A, Waeijen, L J W, Akkaya, I B, Bondarau, E & Moreira, O 2024, CATS : Combined Activation and Temporal Suppression for Efficient Network Inference. in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024., 10483976, Institute of Electrical and Electronics Engineers, pp. 8151-8160, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, United States, 3/01/24. https://doi.org/10.1109/WACV57701.2024.00798","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/81601529-c6f0-43df-9ac8-a970332f43a1","doi":null,"is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/81601529-c6f0-43df-9ac8-a970332f43a1","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zhu, Z, Pourtaherian, A, Waeijen, L J W, Akkaya, I B, Bondarau, E & Moreira, O 2024, CATS : Combined Activation and Temporal Suppression for Efficient Network Inference. in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024., 10483976, Institute of Electrical and Electronics Engineers, pp. 8151-8160, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, United States, 3/01/24. https://doi.org/10.1109/WACV57701.2024.00798","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W2111602297","https://openalex.org/W2156387975","https://openalex.org/W2193145675","https://openalex.org/W2204609240","https://openalex.org/W2291627510","https://openalex.org/W2340897893","https://openalex.org/W2547875792","https://openalex.org/W2749476078","https://openalex.org/W2783525259","https://openalex.org/W2810075754","https://openalex.org/W2887041979","https://openalex.org/W2893813411","https://openalex.org/W2903890941","https://openalex.org/W2963402313","https://openalex.org/W2964549777","https://openalex.org/W2967733054","https://openalex.org/W2988481835","https://openalex.org/W3018923871","https://openalex.org/W3019438330","https://openalex.org/W3034628778","https://openalex.org/W3035770626","https://openalex.org/W3084173793","https://openalex.org/W3106250896","https://openalex.org/W3137946936","https://openalex.org/W3139657805","https://openalex.org/W3159714287","https://openalex.org/W3215050761","https://openalex.org/W4226019303","https://openalex.org/W4312740059","https://openalex.org/W4313018320","https://openalex.org/W4313484731","https://openalex.org/W4320855193","https://openalex.org/W4379116058","https://openalex.org/W4385800833","https://openalex.org/W6696672603"],"related_works":["https://openalex.org/W4313484731","https://openalex.org/W4385800833","https://openalex.org/W4403946963","https://openalex.org/W4402916578","https://openalex.org/W7131815288","https://openalex.org/W4386250368","https://openalex.org/W7138209625","https://openalex.org/W3138288535","https://openalex.org/W7053209320","https://openalex.org/W4308235769"],"abstract_inverted_index":{"Brain-inspired":[0],"event-driven":[1,165],"processors":[2],"execute":[3],"deep":[4],"neural":[5],"networks":[6],"(DNNs)":[7],"in":[8,43,112,174,190,193,197],"a":[9,48,66,94,138,151,159,185],"sparsity-aware":[10],"manner,":[11],"leading":[12],"to":[13,17,65,97,132],"superior":[14],"performance":[15,186],"compared":[16,131],"conventional":[18],"platforms.":[19],"In":[20],"the":[21,35,41,44,100,108,133,146,163,170,177,202],"pursuit":[22],"of":[23,110,141,188],"higher":[24,128],"event":[25,77,129,172],"sparsity,":[26],"prior":[27],"studies":[28],"suppress":[29],"non-zero":[30],"events":[31,111],"by":[32,150],"either":[33],"eliminating":[34],"intra-frame":[36],"activations":[37],"(spatially)":[38],"or":[39],"leveraging":[40],"redundancy":[42],"inter-frame":[45],"differences":[46],"for":[47,88,99],"video":[49],"(temporally).":[50],"However,":[51],"we":[52,73],"have":[53],"empirically":[54],"observed":[55],"that":[56,122,169],"simultaneously":[57],"enhancing":[58],"activation":[59],"and":[60,85,115,195],"temporal":[61,102,116],"sparsity":[62,173],"can":[63,180],"lead":[64],"synergistic":[67],"suppression":[68,78,130,136],"outcome.":[69],"To":[70],"this":[71],"end,":[72],"propose":[74],"an":[75],"end-to-end":[76],"training":[79],"approach":[80],"CATS":[81,123],"\u2212\u2212":[82],"Combined":[83],"Activation":[84],"Temporal":[86],"Suppression":[87],"efficient":[89],"network":[90],"inference.":[91],"It":[92],"utilizes":[93],"gradient-based":[95],"method":[96],"search":[98],"optimal":[101],"thresholds":[103],"per":[104],"layer":[105],"while":[106,200],"penalizing":[107],"presence":[109],"both":[113],"spatial":[114],"domains.":[117],"Our":[118],"experimental":[119],"results":[120],"show":[121],"achieves":[124],"2":[125],"\u223c":[126],"6\u00d7":[127],"inherent":[134],"ReLU":[135],"across":[137],"wide":[139],"range":[140],"vision":[142],"applications,":[143],"consistently":[144],"outperforming":[145],"state-of-the-art":[147],"(SOTA)":[148],"methods":[149],"significant":[152],"margin":[153],"at":[154],"all":[155],"accuracy":[156],"levels.":[157],"Furthermore,":[158],"case":[160],"study":[161],"on":[162,176],"commercial":[164],"processor":[166],"GrAI-VIP":[167],"highlights":[168],"induced":[171],"SSD":[175],"EgoHands":[178],"dataset":[179],"be":[181],"efficiently":[182],"translated":[183],"into":[184],"enhancement":[187],"2.5\u00d7":[189],"FPS,":[191],"2.1\u00d7":[192],"latency,":[194],"3.8\u00d7":[196],"energy":[198],"consumption,":[199],"maintaining":[201],"model":[203],"accuracy.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-04-10T00:00:00"}
