{"id":"https://openalex.org/W2936831171","doi":"https://doi.org/10.1109/icassp.2019.8682588","title":"A Weight-shared Dual-branch Convolutional Neural Network for Unsupervised Dense Depth Prediction and Camera Motion Estimation","display_name":"A Weight-shared Dual-branch Convolutional Neural Network for Unsupervised Dense Depth Prediction and Camera Motion Estimation","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2936831171","doi":"https://doi.org/10.1109/icassp.2019.8682588","mag":"2936831171"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024427012","display_name":"Yaofeng Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaofeng Dong","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036081371","display_name":"Weibo Huang","orcid":"https://orcid.org/0000-0002-9583-1944"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Huang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410326"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4067247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"3777","last_page":"3781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9995999932289124,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.808150053024292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7485041618347168},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6569572687149048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5767223834991455},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5534687638282776},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5001676082611084},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5000035762786865},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.49452659487724304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.476928174495697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4720120131969452},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4666072726249695},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4651865065097809},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.4531625807285309},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.3515975773334503},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2962079644203186}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.808150053024292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485041618347168},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6569572687149048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5767223834991455},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5534687638282776},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5001676082611084},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5000035762786865},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.49452659487724304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.476928174495697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4720120131969452},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4666072726249695},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4651865065097809},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.4531625807285309},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.3515975773334503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2962079644203186},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1612997784","https://openalex.org/W1803059841","https://openalex.org/W1836465849","https://openalex.org/W2150066425","https://openalex.org/W2171740948","https://openalex.org/W2180280991","https://openalex.org/W2200124539","https://openalex.org/W2211874131","https://openalex.org/W2218842719","https://openalex.org/W2259424905","https://openalex.org/W2300779272","https://openalex.org/W2461937780","https://openalex.org/W2474281075","https://openalex.org/W2520707372","https://openalex.org/W2608018946","https://openalex.org/W2609883120","https://openalex.org/W2686318547","https://openalex.org/W2890376682","https://openalex.org/W2949117887","https://openalex.org/W2951234442","https://openalex.org/W2962816904","https://openalex.org/W3100388886","https://openalex.org/W3103648783","https://openalex.org/W3124420883","https://openalex.org/W6638667902","https://openalex.org/W6721610202"],"related_works":["https://openalex.org/W2120510242","https://openalex.org/W2169460555","https://openalex.org/W2117658178","https://openalex.org/W2067732419","https://openalex.org/W2380016249","https://openalex.org/W2134686930","https://openalex.org/W2078454396","https://openalex.org/W4321142835","https://openalex.org/W2064234899","https://openalex.org/W2392202796"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Network":[2],"(CNN)":[3],"can":[4],"be":[5],"used":[6],"to":[7,31,52,74,85,98],"indiscriminately":[8],"predict":[9,53],"dense":[10,116],"depth":[11,22,56,79],"and":[12,24,35,58,81,119],"camera":[13,25,61,82,120],"motion":[14,26],"from":[15],"images,":[16],"however,":[17],"ignoring":[18],"the":[19,28,33,37,40,76,87,92,105,125],"relationship":[20],"between":[21,78],"map":[23,57,80,117],"increases":[27],"computational":[29],"burden":[30],"label":[32],"datasets":[34,107],"limits":[36],"accuracy":[38],"of":[39,89],"results.":[41],"In":[42,63],"this":[43],"paper,":[44],"an":[45],"end-to-end":[46],"unsupervised":[47],"dual-branch":[48],"CNN":[49],"is":[50,72],"proposed":[51],"a":[54,65],"pixel-wise":[55],"simultaneously":[59],"estimate":[60],"pose.":[62],"particular,":[64],"weight":[66],"sharing":[67],"strategy":[68],"for":[69],"two":[70],"branches":[71],"designed":[73],"increase":[75],"connection":[77],"motion.":[83],"Besides,":[84],"reduce":[86],"impact":[88],"photometric":[90],"noise,":[91],"intermediate":[93],"feature":[94,100],"maps":[95],"are":[96],"utilized":[97],"compute":[99],"errors.":[101],"Experimental":[102],"results":[103],"on":[104,115],"KITTI":[106],"demonstrate":[108],"that":[109],"our":[110],"method":[111],"achieves":[112],"better":[113],"performance":[114],"prediction":[118],"pose":[121],"estimation":[122],"comparing":[123],"with":[124],"state-of-the-art":[126],"approaches.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
