{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T11:04:34Z","timestamp":1775041474537,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,5]],"date-time":"2019-06-05T00:00:00Z","timestamp":1559692800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,6,5]]},"DOI":"10.1145\/3323873.3325053","type":"proceedings-article","created":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T12:10:58Z","timestamp":1560168658000},"page":"339-343","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning"],"prefix":"10.1145","author":[{"given":"Steven C. Y.","family":"Hung","sequence":"first","affiliation":[{"name":"IIS, Academia Sinica, Taipei, Taiwan Roc"}]},{"given":"Jia-Hong","family":"Lee","sequence":"additional","affiliation":[{"name":"IIS & CITI, Academia Sinica, Taipei, Taiwan Roc"}]},{"given":"Timmy S. T.","family":"Wan","sequence":"additional","affiliation":[{"name":"IIS & CITI, Academia Sinica, Taipei, Taiwan Roc"}]},{"given":"Chein-Hung","family":"Chen","sequence":"additional","affiliation":[{"name":"IIS & CITI, Academia Sinica, Taipei, Taiwan Roc"}]},{"given":"Yi-Ming","family":"Chan","sequence":"additional","affiliation":[{"name":"IIS, Academia Sinica & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taipei, Taiwan Roc"}]},{"given":"Chu-Song","family":"Chen","sequence":"additional","affiliation":[{"name":"IIS & CITI, Academia Sinica & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taipei, Taiwan Roc"}]}],"member":"320","published-online":{"date-parts":[[2019,6,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv","author":"Abadi Martin","year":"2016","unstructured":"Martin Abadi , Ashish Agarwal , Paul Barham , Eugene Brevdo , Zhifeng Chen , Craig Citro , Greg S Corrado , Andy Davis , Jeffrey Dean , Matthieu Devin , 2016 . Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv (2016). Martin Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv (2016)."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of IEEE FG.","author":"Cao Q.","unstructured":"Q. Cao , L. Shen , W. Xie , O. M. Parkhi , and A. Zisserman . 2018. VGGFace2: A dataset for recognising faces across pose and age . In Proceedings of IEEE FG. Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman. 2018. VGGFace2: A dataset for recognising faces across pose and age. In Proceedings of IEEE FG."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359646"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of IEEE CVPRW.","author":"Escalera Sergio","year":"2016","unstructured":"Sergio Escalera , Mercedes Torres Torres , Brais Martinez , Xavier Bar\u00f3 , Hugo Jair Escalante , Isabelle Guyon , Georgios Tzimiropoulos , Ciprian Corneou , Marc Oliu , Mohammad Ali Bagheri , 2016 . Chalearn looking at people and faces of the world: Face analysis workshop and challenge 2016 . In Proceedings of IEEE CVPRW. Sergio Escalera, Mercedes Torres Torres, Brais Martinez, Xavier Bar\u00f3, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian Corneou, Marc Oliu, Mohammad Ali Bagheri, et al. 2016. Chalearn looking at people and faces of the world: Face analysis workshop and challenge 2016. In Proceedings of IEEE CVPRW."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00171"},{"key":"e_1_3_2_1_6_1","volume":"201","author":"Han Song","unstructured":"Song Han , Huizi Mao , and William J Dally. 201 6. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. ICLR (2016). Song Han, Huizi Mao, and William J Dally. 2016. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. ICLR (2016).","journal-title":"William J Dally."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of BMVC.","author":"Kervadec Corentin","year":"2018","unstructured":"Corentin Kervadec , Valentin Vielzeuf , St\u00e9phane Pateux , Alexis Lechervy , Fr\u00e9d\u00e9ric Jurie , and Cesson-S\u00e9vign\u00e9. 2018 . CAKE: Compact and Accurate K-dimensional representation of Emotion . In Proceedings of BMVC. Corentin Kervadec, Valentin Vielzeuf, St\u00e9phane Pateux, Alexis Lechervy, Fr\u00e9d\u00e9ric Jurie, and Cesson-S\u00e9vign\u00e9. 2018. CAKE: Compact and Accurate K-dimensional representation of Emotion. In Proceedings of BMVC."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_2_1_9_1","volume-title":"Advances in face detection and facial image analysis","author":"Learned-Miller Erik","unstructured":"Erik Learned-Miller , Gary B Huang , Aruni RoyChowdhury , Haoxiang Li , and Gang Hua . 2016. Labeled faces in the wild: A survey . In Advances in face detection and facial image analysis . Springer . Erik Learned-Miller, Gary B Huang, Aruni RoyChowdhury, Haoxiang Li, and Gang Hua. 2016. Labeled faces in the wild: A survey. In Advances in face detection and facial image analysis. Springer."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2018.00036"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301352"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"e_1_3_2_1_14_1","volume-title":"Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological review","author":"McClelland James L","year":"1995","unstructured":"James L McClelland , Bruce L McNaughton , and Randall C O'reilly . 1995. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological review ( 1995 ). James L McClelland, Bruce L McNaughton, and Randall C O'reilly. 1995. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological review (1995)."},{"key":"e_1_3_2_1_15_1","volume":"198","author":"McCloskey Michael","unstructured":"Michael McCloskey and Neal J Cohen. 198 9. Catastrophic interference in connectionist networks: The sequential learning problem. In Psychology of learning and motivation. Elsevier. Michael McCloskey and Neal J Cohen. 1989. Catastrophic interference in connectionist networks: The sequential learning problem. In Psychology of learning and motivation. Elsevier.","journal-title":"Neal J Cohen."},{"key":"e_1_3_2_1_16_1","volume-title":"AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild","author":"Mollahosseini Ali","year":"2017","unstructured":"Ali Mollahosseini , Behzad Hasani , and Mohammad H Mahoor . 2017. AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild . IEEE Trans. Affective Comput . ( 2017 ). Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor. 2017. AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild. IEEE Trans. Affective Comput. (2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of ICCV.","author":"Ep Triki Amal Rannen","year":"2017","unstructured":"Amal Rannen Ep Triki , Rahaf Aljundi , Matthew Blaschko , and Tinne Tuytelaars . 2017 . Encoder based lifelong learning . In Proceedings of ICCV. Amal Rannen Ep Triki, Rahaf Aljundi, Matthew Blaschko, and Tinne Tuytelaars. 2017. Encoder based lifelong learning. In Proceedings of ICCV."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0940-3"},{"key":"e_1_3_2_1_20_1","volume-title":"Progressive neural networks. arXiv","author":"Rusu Andrei A","year":"2016","unstructured":"Andrei A Rusu , Neil C Rabinowitz , Guillaume Desjardins , Hubert Soyer , James Kirkpatrick , Koray Kavukcuoglu , Razvan Pascanu , and Raia Hadsell . 2016. Progressive neural networks. arXiv ( 2016 ). Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell. 2016. Progressive neural networks. arXiv (2016)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of NeurIPS.","author":"Shin Hanul","year":"2017","unstructured":"Hanul Shin , Jung Kwon Lee , Jaehong Kim , and Jiwon Kim . 2017 . Continual learning with deep generative replay . In Proceedings of NeurIPS. Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim. 2017. Continual learning with deep generative replay. In Proceedings of NeurIPS."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"e_1_3_2_1_24_1","volume-title":"Intelligent Robots and Systems","author":"Thrun Sebastian","unstructured":"Sebastian Thrun . 1995. -A Lifelong Learning Perspective for Mobile Robot Control . In Intelligent Robots and Systems . Elsevier . Sebastian Thrun. 1995. -A Lifelong Learning Perspective for Mobile Robot Control. In Intelligent Robots and Systems. Elsevier."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654926"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of ICLR.","author":"Yoon Jaehong","year":"2018","unstructured":"Jaehong Yoon , Eunho Yang , Jeongtae Lee , and Sung Ju Hwang . 2018 . Lifelong Learning with Dynamically Expandable Networks . In Proceedings of ICLR. Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang. 2018. Lifelong Learning with Dynamically Expandable Networks. In Proceedings of ICLR."},{"key":"e_1_3_2_1_27_1","volume-title":"Facial Expression Recognition with Inconsistently Annotated Datasets","author":"Zeng Jiabei","unstructured":"Jiabei Zeng , Shiguang Shan , and Xilin Chen . 2018. Facial Expression Recognition with Inconsistently Annotated Datasets . In Proceedings of ECCV. Springer . Jiabei Zeng, Shiguang Shan, and Xilin Chen. 2018. Facial Expression Recognition with Inconsistently Annotated Datasets. In Proceedings of ECCV. Springer."},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of ICML.","author":"Zenke Friedemann","year":"2017","unstructured":"Friedemann Zenke , Ben Poole , and Surya Ganguli . 2017 . Continual Learning Through Synaptic Intelligence . In Proceedings of ICML. Friedemann Zenke, Ben Poole, and Surya Ganguli. 2017. Continual Learning Through Synaptic Intelligence. In Proceedings of ICML."},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of NeurIPS Workshop on Machine Learning of Phones and other Consumer Devices.","author":"Zhu Michael","year":"2017","unstructured":"Michael Zhu and Suyog Gupta . 2017 . To prune, or not to prune: exploring the efficacy of pruning for model compression . In Proceedings of NeurIPS Workshop on Machine Learning of Phones and other Consumer Devices. Michael Zhu and Suyog Gupta. 2017. To prune, or not to prune: exploring the efficacy of pruning for model compression. In Proceedings of NeurIPS Workshop on Machine Learning of Phones and other Consumer Devices."}],"event":{"name":"ICMR '19: International Conference on Multimedia Retrieval","location":"Ottawa ON Canada","acronym":"ICMR '19","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2019 on International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3323873.3325053","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3323873.3325053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:12Z","timestamp":1750204452000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3323873.3325053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,5]]},"references-count":29,"alternative-id":["10.1145\/3323873.3325053","10.1145\/3323873"],"URL":"https:\/\/doi.org\/10.1145\/3323873.3325053","relation":{},"subject":[],"published":{"date-parts":[[2019,6,5]]},"assertion":[{"value":"2019-06-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}