{"id":"https://openalex.org/W4200064720","doi":"https://doi.org/10.1145/3490035.3490259","title":"Iterative gradient encoding network using feature co-occurrence loss for single image reflection removal","display_name":"Iterative gradient encoding network using feature co-occurrence loss for single image reflection removal","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200064720","doi":"https://doi.org/10.1145/3490035.3490259"},"language":"en","primary_location":{"id":"doi:10.1145/3490035.3490259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth 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/A5074316054","display_name":"Sutanu Bera","orcid":"https://orcid.org/0000-0002-4070-9175"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sutanu Bera","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004059019","display_name":"Prabir Kumar Biswas","orcid":"https://orcid.org/0000-0002-8922-1306"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabir Kumar Biswas","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074316054"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16338235,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.8530940413475037},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7167612314224243},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6792184114456177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682466864585876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6486126184463501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111938953399658},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5055036544799805},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.45765697956085205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.457247257232666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.387448787689209},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07198697328567505}],"concepts":[{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.8530940413475037},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7167612314224243},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6792184114456177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682466864585876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6486126184463501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111938953399658},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5055036544799805},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.45765697956085205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.457247257232666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.387448787689209},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07198697328567505},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490035.3490259","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing","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":17,"referenced_works":["https://openalex.org/W1558369361","https://openalex.org/W1980212291","https://openalex.org/W1988700013","https://openalex.org/W2100140302","https://openalex.org/W2107530646","https://openalex.org/W2518628096","https://openalex.org/W2779896560","https://openalex.org/W2798966709","https://openalex.org/W2943959068","https://openalex.org/W2963073614","https://openalex.org/W2963177105","https://openalex.org/W2963676366","https://openalex.org/W2967060301","https://openalex.org/W2982389402","https://openalex.org/W2982763192","https://openalex.org/W3034647178","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2951187577"],"abstract_inverted_index":{"Removing":[0],"undesired":[1],"reflections":[2,32],"from":[3],"a":[4,10,44,96],"photo":[5],"taken":[6],"in":[7,60,85],"front":[8],"of":[9,13,46,107,121,148],"glass":[11],"is":[12,43],"great":[14],"importance":[15],"for":[16,30,48,74],"enhancing":[17],"visual":[18],"computing":[19],"systems'":[20],"efficiency.":[21],"Previous":[22],"learning-based":[23],"approaches":[24],"have":[25],"produced":[26],"visually":[27],"plausible":[28],"results":[29],"some":[31],"type,":[33],"however,":[34],"failed":[35],"to":[36,80],"generalize":[37,58],"against":[38,117],"other":[39,146],"reflection":[40,54,62,77,115,135,143],"types.":[41],"There":[42],"dearth":[45],"literature":[47],"efficient":[49],"methods":[50,151],"concerning":[51],"single":[52,75],"image":[53,76],"removal,":[55],"which":[56],"can":[57,113,140],"well":[59],"large-scale":[61],"type.":[63],"In":[64],"this":[65],"study,":[66],"we":[67,94],"proposed":[68,95],"an":[69],"iterative":[70],"gradient":[71],"encoding":[72],"network":[73,84],"removal.":[78],"Next,":[79],"further":[81],"supervise":[82],"the":[83,87,90,103,118,122,134,149],"learning":[86],"correlation":[88],"between":[89],"transmission":[91],"layer":[92],"features,":[93],"feature":[97],"co-occurrence":[98],"loss.":[99],"Extensive":[100],"experiments":[101],"on":[102,125],"public":[104],"benchmark":[105],"dataset":[106],"SIR2":[108],"demonstrated":[109],"that":[110],"our":[111,138],"method":[112,124,139],"remove":[114,142],"favorably":[116],"existing":[119],"state":[120,147],"art":[123,150],"all":[126],"imaging":[127],"settings,":[128],"including":[129],"diverse":[130],"backgrounds.":[131],"Moreover,":[132],"as":[133],"strength":[136],"increases,":[137],"still":[141],"even":[144],"where":[145],"failed.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
