{"title":"为稳健的媒体理解释放解纠缠表示的潜力","authors":"Wenjun Zeng","doi":"10.1145/3552456.3554363","DOIUrl":null,"url":null,"abstract":"It has been argued that for AI to fundamentally understand the world around us, it must learn to identify and disentangle the underlying explanatory factors hidden in the observed environment of low-level sensory data. In this talk, I will first provide an overview of the recent developments in disentangled representation learning and identify some major trends. I will then present some applications of this powerful concept for robust media processing and understanding in tasks such as image restoration, super-resolution, classification, person re-ID, depth estimation, etc. I will also discuss some future directions.","PeriodicalId":398586,"journal":{"name":"Proceedings of the 2nd International Workshop on Robust Understanding of Low-quality Multimedia Data: Unitive Enhancement, Analysis and Evaluation","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlocking the Potential of Disentangled Representation for Robust Media Understanding\",\"authors\":\"Wenjun Zeng\",\"doi\":\"10.1145/3552456.3554363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has been argued that for AI to fundamentally understand the world around us, it must learn to identify and disentangle the underlying explanatory factors hidden in the observed environment of low-level sensory data. In this talk, I will first provide an overview of the recent developments in disentangled representation learning and identify some major trends. I will then present some applications of this powerful concept for robust media processing and understanding in tasks such as image restoration, super-resolution, classification, person re-ID, depth estimation, etc. I will also discuss some future directions.\",\"PeriodicalId\":398586,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Robust Understanding of Low-quality Multimedia Data: Unitive Enhancement, Analysis and Evaluation\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Robust Understanding of Low-quality Multimedia Data: Unitive Enhancement, Analysis and Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3552456.3554363\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on Robust Understanding of Low-quality Multimedia Data: Unitive Enhancement, Analysis and Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3552456.3554363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unlocking the Potential of Disentangled Representation for Robust Media Understanding
It has been argued that for AI to fundamentally understand the world around us, it must learn to identify and disentangle the underlying explanatory factors hidden in the observed environment of low-level sensory data. In this talk, I will first provide an overview of the recent developments in disentangled representation learning and identify some major trends. I will then present some applications of this powerful concept for robust media processing and understanding in tasks such as image restoration, super-resolution, classification, person re-ID, depth estimation, etc. I will also discuss some future directions.
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