{"id":"https://openalex.org/W2572534728","doi":"https://doi.org/10.1109/vcip.2016.7805421","title":"Keynotes: Deep learning for visual understanding: Effectiveness vs. efficiency","display_name":"Keynotes: Deep learning for visual understanding: Effectiveness vs. efficiency","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2572534728","doi":"https://doi.org/10.1109/vcip.2016.7805421","mag":"2572534728"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I4210092299","display_name":"Qihoo 360 (China)","ror":"https://ror.org/00p4rkj69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210092299"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Qihoo/360 company, China National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Qihoo/360 company, China National University of Singapore","institution_ids":["https://openalex.org/I4210092299","https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100381753"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I4210092299"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15602396,"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":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.3912999927997589,"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/T10799","display_name":"Data Visualization and Analytics","score":0.3912999927997589,"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":0.38440001010894775,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.3621000051498413,"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/learnability","display_name":"Learnability","score":0.9333863854408264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979179620742798},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6883012652397156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6545730829238892},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6494826078414917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828831791877747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4609850347042084},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44114863872528076},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3653649091720581}],"concepts":[{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.9333863854408264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979179620742798},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6883012652397156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6545730829238892},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6494826078414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828831791877747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4609850347042084},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44114863872528076},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3653649091720581},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4302791369","https://openalex.org/W2951285859","https://openalex.org/W2766040214","https://openalex.org/W72092541","https://openalex.org/W37360785","https://openalex.org/W1973394166","https://openalex.org/W180475243","https://openalex.org/W2098466205","https://openalex.org/W1966604104","https://openalex.org/W2066099325"],"abstract_inverted_index":{"In":[0],"this":[1],"talk,":[2],"I":[3],"shall":[4],"introduce":[5],"a":[6],"series":[7],"of":[8],"research":[9],"related":[10],"with":[11],"deep":[12],"learning":[13],"for":[14],"visual":[15],"understanding,":[16],"and":[17,47],"focus":[18],"on":[19],"three":[20],"aspects:":[21],"1)":[22],"how":[23,37,49],"to":[24,29,38,43,50,55],"make":[25],"the":[26,57],"model":[27],"size":[28],"be":[30],"small":[31],"while":[32],"keep":[33],"high":[34],"accuracy,":[35],"2)":[36],"design":[39,51],"proper":[40,52],"objective":[41],"functions":[42],"enhance":[44],"algorithmic":[45],"learnability,":[46],"3)":[48],"network":[53],"structure":[54],"accelerate":[56],"inference":[58],"speed.":[59]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}