{"id":"https://openalex.org/W3023225558","doi":"https://doi.org/10.1145/3293353.3293394","title":"Seek and You Will Find","display_name":"Seek and You Will Find","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3023225558","doi":"https://doi.org/10.1145/3293353.3293394","mag":"3023225558"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","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/A5100703255","display_name":"Sudip Das","orcid":"https://orcid.org/0000-0002-8372-4316"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sudip Das","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478043","display_name":"Partha Sarathi Mukherjee","orcid":"https://orcid.org/0000-0002-9254-5416"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Sarathi Mukherjee","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090127362","display_name":"Ujjwal Bhattacharya","orcid":"https://orcid.org/0000-0002-8546-6453"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ujjwal Bhattacharya","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100703255"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26747755,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9948999881744385,"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":0.9944000244140625,"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":0.5680596828460693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5680596828460693}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1931284523","https://openalex.org/W2031454541","https://openalex.org/W2084997728","https://openalex.org/W2088049833","https://openalex.org/W2106300334","https://openalex.org/W2107775979","https://openalex.org/W2116022929","https://openalex.org/W2133984628","https://openalex.org/W2139479830","https://openalex.org/W2150066425","https://openalex.org/W2150298366","https://openalex.org/W2153410696","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2265127172","https://openalex.org/W2497039038","https://openalex.org/W2534457893","https://openalex.org/W2613718673","https://openalex.org/W2624413595","https://openalex.org/W4236965008","https://openalex.org/W4240153047"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Studies":[0],"of":[1,34,45,66,105,127,129,140,155,163],"object":[2],"detection":[3,8,73,98,117],"and":[4,72,167,177],"localization,":[5],"particularly":[6,123],"pedestrian":[7,97,145],"have":[9,133,181],"received":[10],"considerable":[11],"attention":[12],"in":[13,38,79,147],"recent":[14],"times":[15],"due":[16],"to":[17,51,114,119],"its":[18],"several":[19],"prospective":[20],"applications":[21],"such":[22],"as":[23],"surveillance,":[24],"driving":[25],"assistance,":[26],"autonomous":[27],"cars,":[28],"etc.":[29],"Also,":[30],"a":[31,88,135],"significant":[32,121],"trend":[33],"latest":[35],"research":[36],"studies":[37],"related":[39],"problem":[40],"areas":[41],"is":[42],"the":[43,53,63,80,116,125,156,160,164,192],"use":[44],"sophisticated":[46],"Deep":[47],"Learning":[48],"based":[49,94],"approaches":[50],"improve":[52,115],"benchmark":[54],"performance":[55,118],"on":[56,159],"various":[57],"standard":[58],"datasets.":[59],"A":[60],"trade-off":[61],"between":[62],"speed":[64],"(number":[65],"video":[67],"frames":[68],"processed":[69],"per":[70],"second)":[71],"accuracy":[74],"has":[75],"often":[76],"been":[77,182],"reported":[78],"existing":[81,170,193],"literature.":[82],"In":[83],"this":[84,101],"article,":[85],"we":[86,132],"present":[87],"new":[89,136,165],"but":[90],"simple":[91],"deep":[92],"learning":[93],"strategy":[95],"for":[96,124],"that":[99],"improves":[100],"trade-off.":[102],"Since":[103],"training":[104],"similar":[106],"models":[107],"using":[108],"publicly":[109],"available":[110],"sample":[111,137],"datasets":[112],"failed":[113],"some":[120],"extent,":[122],"instances":[126],"pedestrians":[128],"smaller":[130],"sizes,":[131],"developed":[134],"dataset":[138,166],"consisting":[139],"more":[141],"than":[142],"80K":[143],"annotated":[144],"figures":[146],"videos":[148],"recorded":[149],"under":[150],"varying":[151],"traffic":[152],"conditions.":[153],"Performance":[154],"proposed":[157,185],"model":[158],"test":[161],"samples":[162],"two":[168],"other":[169],"datasets,":[171],"namely":[172],"Caltech":[173],"Pedestrian":[174],"Dataset":[175,179],"(CPD)":[176],"CityPerson":[178],"(CD)":[180],"obtained.":[183],"Our":[184],"system":[186],"shows":[187],"nearly":[188],"16%":[189],"improvement":[190],"over":[191],"state-of-the-art":[194],"result.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}