ŽáŽèŒ¤‹†ŽÒŠCŠO”hŒ“ª”]zŠÂƒvƒƒOƒ‰ƒ€E•ñu‰‰ (Reports of Brain Circulation Program) |
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“úŽžF | •½¬29”N2ŒŽ8“ú(…)3ŒÀ (13:30 -- 15:30), 2017/02/8, Wednesday |
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êŠ(Location)F | L1 |
Ži‰ï(Chair)F | ”¨ G–¾(Hideaki HATA) |
u‰‰ŽÒ(Presenter)F | ’†“‡ —I‘¾(Yuta NAKASHIMA), ‘åã‘åŠwƒf[ƒ^ƒrƒŠƒeƒBƒtƒƒ“ƒeƒBƒA‹@\iInstitute for Datability Science, Osaka Universityj |
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‘è–Ú(Title)F |
Report on my visit to Carnegie Mellon University |
ŠT—v(Abstract)F | Firstly I will briefly introduce CMU and Pittsburgh, where I have been stayed from April 2015 to March 2016. I also talk about what I learned and did there, especially about my research work on visual question answering. Visual question answering is a new task in both computer vision and natural language processing, which tries to answer to a question on an image. We built a new neural net-based model with predicting where to attend in the image to answer a question. |
u‰‰ŽÒ(Presenter)F | ‘å’J ‚Ü‚ä(Mayu OTANI), Ž‹Šoî•ñƒƒfƒBƒAŒ¤‹†Žº |
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‘è–Ú(Title)F | Activity report at University of Oulu, Finland: Learning joint representations of videos and sentences with web image search |
ŠT—v(Abstract)F | This report presents research work at Machine Vision Group, University of Oulu, Finland. During my stay, I worked for video retrieval based on natural language queries. Recent work has addressed the problem by embedding visual and textual inputs into a common space where semantic similarities correlate to distances. We propose an embedding approach for sentence and video inputs that combines the advantages of the metadata-based web image search and deep neural network-based representation learning. Overall, we observe an improvement over the state-of-the-art methods in the video and sentence retrieval tasks. |
u‰‰ŽÒ(Presenter)F | ”–{ Kr(Yukitoshi KASHIMOTO), ƒ†ƒrƒLƒ^ƒXƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒXƒeƒ€Œ¤‹†Žº |
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‘è–Ú(Title)F | Twinkle Megane project and activities in University of Oulu, Finland |
ŠT—v(Abstract)F | I report my research work and activities in University of Oulu, Finland. In the research project, I worked on the development of Twinkle Megane: Glasses attached with Near-eye LED indicators to support the senior citizen's life. In addition, I report other life activities in University of Oulu |