{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T12:00:51Z","timestamp":1769947251260,"version":"3.49.0"},"reference-count":69,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/Crown.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852013","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition"],"prefix":"10.1109","author":[{"given":"Asad","family":"Abbas","sequence":"first","affiliation":[]},{"given":"Stephan","family":"Chalup","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks","author":"nguyen","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0911-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_21"},{"key":"ref32","article-title":"Show and tell: A neural image caption generator","author":"vinyals","year":"2014","journal-title":"CoRR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.129"},{"key":"ref30","article-title":"Object detectors emerge in deep scene cnns","author":"zhou","year":"2014","journal-title":"CoRR"},{"key":"ref37","article-title":"Visualizing higher-layer features of a deep network","author":"erhan","year":"2009","journal-title":"Technical Report 1341"},{"key":"ref36","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"huang","year":"2007","journal-title":"Tech Rep 07-49"},{"key":"ref35","article-title":"Fddb: A benchmark for face detection in unconstrained settings","author":"jain","year":"2010","journal-title":"Technical Report UM-CS-2010-009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.596"},{"key":"ref60","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2014","journal-title":"CoRR"},{"key":"ref62","first-page":"3221","article-title":"Accelerating t-sne using tree-based algorithms","volume":"15","author":"van der maaten","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/BF02163027"},{"key":"ref63","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref28","article-title":"Visual instance retrieval with deep convolutional networks","author":"razavian","year":"2014","journal-title":"CoRR"},{"key":"ref64","article-title":"Abigail Breslin at a party during the 2010 Toronto International Film Festival. Licensed under attribution-sharealike 2.0 generic (CC BY-SA 2.0)","year":"2011"},{"key":"ref27","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref65","article-title":"Hus med fjes p island. Dette vesle huset str i hagen ved huset vi leiger i reykjanes p Island.. All rights reserved","author":"sommer","year":"2011"},{"key":"ref66","article-title":"I feel happy today, look at this picture! Licensed under the creative commons attribution 2.0 generic (CC BY-SA 2.0)","author":"blom","year":"2010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref67","article-title":"Pareidolia in the pavement in The Hague. Licensed under the creative commons attribution 2.0 generic (CC BY-SA 2.0)","author":"maljkovi","year":"2014"},{"key":"ref68","article-title":"Abstract Picasso Style Face. Licensed under the creative commons attribution 2.0 generic (CC0 1.0 Universal (CC0 1.0))","year":"2014"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/WNR.0b013e328325a8e1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/1534582303002002003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CICAC.2013.6595224"},{"key":"ref21","article-title":"The role of typicality in object classification: Improving the generalization capacity of convolutional neural networks","author":"saleh","year":"2016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2347960"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4324\/9781315856964"},{"key":"ref26","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003915"},{"key":"ref51","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref59","article-title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","volume":"7","author":"selvaraju","year":"2016"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Computer Vision – ECCV 2014"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.8"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"ref55","first-page":"41.1","article-title":"Deep face recognition","author":"parkhi","year":"0"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54184-6_9"},{"key":"ref53","article-title":"Pixels to voxels: modeling visual representation in the human brain","author":"agrawal","year":"2014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003963"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2007.07.063"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2009.01.007"},{"key":"ref40","article-title":"Understanding neural networks through deep visualization","author":"yosinski","year":"2015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2011.08.020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(00)01482-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref15","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.19"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2012.6199771"},{"key":"ref18","first-page":"54","article-title":"In search of art","author":"crowley","year":"2014","journal-title":"European Conference on Computer Vision Workshop"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.38"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1163\/156856808784532626","article-title":"The visual system as a constraint on the survival and success of specific artworks","volume":"21","author":"melcher","year":"2008","journal-title":"Spatial Vision"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandc.2012.01.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1456223.1456304"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamericanmind0912-19"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature08103"},{"key":"ref7","first-page":"262","article-title":"Simulating pareidolia of faces for architectural image analysis","volume":"2","author":"chalup","year":"2010","journal-title":"International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1403112111"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1068\/i0421"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744358"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-46466-9_18"},{"key":"ref42","article-title":"Understanding intra-class knowledge inside cnn","author":"wei","year":"2015"},{"key":"ref41","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2013"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598838"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.09.007"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","location":"Budapest, Hungary","start":{"date-parts":[[2019,7,14]]},"end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852013.pdf?arnumber=8852013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:48:47Z","timestamp":1658094527000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852013","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}