Veröffentlichungen

Letztes Update: September 16, 2019

Type:
Review:

2019

On quantizing the mental image of concepts for visual semantic analyses

Marc A. Kastner
Paper at ACM Multimedia 2019 Doctoral Symposium, October 2019.
peer-reviewed
international-conference

On visualizing psycholinguistic groundings for sentiment image datasets

Marc A. Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi Murase
Demo 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 Murase
Journal paper at Multimedia Tools and Applications, 78(7), 9463-9488, April 2019. doi: 10.1007/s11042-018-6528-x
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 Murase
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), 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), 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 Murase
Poster 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 Ikeda
Poster 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 Kapitza
Paper at ACM SYSTOR, 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 Kapitza
Poster at Eurosys, April 2017.
peer-reviewed
international-conference

2016

Video Streaming for Foveated High-resolution Rendering

Marc A. Kastner
Master thesis, February 2016.
thesis

2015

Robust binocular pupil detection for a mobile computing platform

Marc A. Kastner
Project 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 Guthe
Computer 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 Magnor
Poster at Eurographics, March 2014.
peer-reviewed
international-conference

2013

The Split Grid

Marc A. Kastner
Bachelor thesis, April 2013.
thesis

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