研究業績
アップデート: January 26, 2020Type:
Review:
2020
視覚特徴と言語特徴を用いた単語の心像性推定の検討
松平茅隼，カストナーマークアウレル，井手一郎，川西康友，平山高嗣，道満恵介，出口大輔，村瀬洋Talk at 26th Annual Meeting of the Association for Natural Language Processing (言語処理学会第26回年次大会), To be published in March 2020.
not-peer-reviewed
domestic-conference
Browsing Visual Sentiment Datasets using Psycholinguistic Groundings
Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MuraseDemo at MultiMedia Modelling (MMM) 2020, January 2020. doi: 10.1007/978-3-030-37734-2_56
[ poster ]
peer-reviewed
international-conference
Estimating the imageability of words by mining visual characteristics from crawled image data
Marc A. Kastner, Ichiro Ide, Frank Nack, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MuraseJournal paper at Multimedia Tools and Applications, Published online, January 2020. doi: 10.1007/s11042-019-08571-4
[ post-print ] [ repository ]
peer-reviewed
journal
2019
On quantizing the mental image of concepts for visual semantic analyses
Marc A. KastnerPaper at ACM Multimedia (ACMMM) 2019 Doctoral Symposium, October 2019. doi: 10.1145/3343031.3352589
[ poster ] [ slides ]
peer-reviewed
international-conference
On visualizing psycholinguistic groundings for sentiment image datasets
Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MuraseDemo at MIRU Symposium, July 2019.
not-peer-reviewed
domestic-conference
Estimating the visual variety of concepts by referring to Web popularity
Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MuraseJournal paper at Multimedia Tools and Applications (MTAP), 78(7), 9463-9488, April 2019. doi: 10.1007/s11042-018-6528-x
[ post-print ]
peer-reviewed
journal
A preliminary study on estimating word imageability labels using Web image data mining
Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MuraseTalk at 25th Annual Meeting of the Association for Natural Language Processing (言語処理学会第25回年次大会), no. A4-7, pp. 747-750, March 2019.
not-peer-reviewed
domestic-conference
画像キャプションの質的評価に向けた文の心像性推定手法の検討
梅村和紀，カストナーマークアウレル，井手一郎，川西康友，平山高嗣，道満恵介，出口大輔，村瀬洋Talk at 25th Annual Meeting of the Association for Natural Language Processing (言語処理学会第25回年次大会), no. A4-9, pp. 755-758, March 2019.
not-peer-reviewed
domestic-conference
2018
On understanding visual relationships of concepts by visualizing bag-of-visual-words models
Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi MurasePoster at MIRU Symposium, August 2018.
not-peer-reviewed
domestic-conference
A Survey on Psychology - Connecting Perception, Language, and Memory studies with Computer Vision
Marc A. Kastner, Yukitaka Tsuchiya, Kosuke Osumi, Ryo Akiyama, Lisa Kawai, Hiroya IkedaPoster and oral presentation at MIRU Young Researchers Program (MIRU若手プログラム), August 2018.
not-peer-reviewed
domestic-conference
Dependable Non-Volatile Memory
Arthur Martens, Rouven Scholz, Phil Lindow, Niklas Lehnfeld, Marc A. Kastner, Rüdiger KapitzaPaper at ACM International Systems and Storage Conference (SYSTOR) 2018, June 2018. doi: 10.1145/3211890.3211898
peer-reviewed
international-conference
Web画像の分布に基づく単語概念の視覚的な多様性の推定
カストナーマークアウレル，井手一郎，川西康友，平山高嗣，出口大輔，村瀬洋Technical report at CVIM (情報処理学会研究報告), March 2018.
not-peer-reviewed
domestic-conference
2017
DeNoVo malloc = Validating Data in Persistent Memory
Arthur Martens, Rouven Scholz, Phil Lindow, Marc A. Kastner, Rüdiger KapitzaPoster at Eurosys, April 2017.
peer-reviewed
international-conference
2016
Video Streaming for Foveated High-resolution Rendering
Marc A. KastnerMaster thesis, February 2016.
thesis
2015
Robust binocular pupil detection for a mobile computing platform
Marc A. KastnerProject thesis, August 2015.
thesis
2014
Using sparse optical flow for two-phase gas flow capturing with multiple kinect
Kai Berger, Marc A. Kastner, Yannic Schroeder, Stefan GutheComputer Vision and Machine Learning with RGB-D Sensors, Adv. Comp. Vision and Pat. Rec., July 2014. doi: 10.1007/978-3-319-08651-4_8
peer-reviewed
misc
The Split Grid - A Hierarchical 1D-Grid-based Acceleration Data Structure for Ray Tracing
Pablo Bauszat, Marc A. Kastner, Martin Eisemann, Marcus MagnorPoster at Eurographics, March 2014.
peer-reviewed
international-conference
2013
