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Kimiaki Shirahama
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- affiliation: University of Siegen, Pattern Recognition Group, Germany
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2020 – today
- 2023
- [j29]Naoki Takashima, Frédéric Li
, Marcin Grzegorzek, Kimiaki Shirahama
Embedding-Based Music Emotion Recognition Using Composite Loss. IEEE Access 11: 36579-36604 (2023) - [j28]Frank Kulwa, Chen Li
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomed. Signal Process. Control. 79(Part): 104168 (2023) - [j27]Philip Gouverneur
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. Sensors 23(4): 1959 (2023) - [j26]Xinyu Huang
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. Sensors 23(7): 3446 (2023) - [j25]Muhammad Adeel Nisar
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. Sensors 23(19): 8234 (2023) - [i5]Zihao Chen, Hisashi Handa
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications. CoRR abs/2301.08193 (2023) - 2022
- [j24]Kazuma Fujioka
Generic Itemset Mining Based on Reinforcement Learning. IEEE Access 10: 5824-5841 (2022) - [i4]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. CoRR abs/2208.14957 (2022) - 2021
- [j23]Jinghua Zhang
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognit. 115: 107885 (2021) - [i3]Frank Kulwa
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. CoRR abs/2102.12147 (2021) - [i2]Kazuma Fujioka, Kimiaki Shirahama:
Generic Itemset Mining Based on Reinforcement Learning. CoRR abs/2105.07753 (2021) - [i1]Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama:
Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings. CoRR abs/2112.07192 (2021) - 2020
- [j22]Xinyu Huang
Sleep stage classification for child patients using DeConvolutional Neural Network. Artif. Intell. Medicine 110: 101981 (2020) - [j21]Muhammad Adeel Nisar
Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. Sensors 20(12): 3463 (2020) - [j20]Frédéric Li
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. Sensors 20(15): 4271 (2020) - [c43]Taishin Mabuchi, Yoshiaki Taniguchi, Kimiaki Shirahama:
Person Recognition Using Wi-Fi Channel State Information in an Indoor Environment. ICCE-TW 2020: 1-2 - [c42]Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara, Kuniaki Uehara:
Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks. TRECVID 2020
2010 – 2019
- 2019
- [j19]Sergey Kosov
Labeling of partially occluded regions via the multi-layer CRF. Multim. Tools Appl. 78(2): 2551-2569 (2019) - [j18]Ahmad Delforouzi
A polar model for fast object tracking in 360-degree camera images. Multim. Tools Appl. 78(7): 9275-9297 (2019) - [c41]Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara, Kuniaki Uehara:
Kindai University and Kobe University at TRECVID 2019 AVS Task. TRECVID 2019 - 2018
- [j17]Lukas Köping, Kimiaki Shirahama, Marcin Grzegorzek
A general framework for sensor-based human activity recognition. Comput. Biol. Medicine 95: 248-260 (2018) - [j16]Przemyslaw Lagodzinski, Kimiaki Shirahama, Marcin Grzegorzek
Codebook-based electrooculography data analysis towards cognitive activity recognition. Comput. Biol. Medicine 95: 277-287 (2018) - [j15]Zeyd Boukhers
Less restrictive camera odometry estimation from monocular camera. Multim. Tools Appl. 77(13): 16199-16222 (2018) - [j14]Sergey Kosov, Kimiaki Shirahama, Chen Li, Marcin Grzegorzek
Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognit. 77: 248-261 (2018) - [j13]Frédéric Li
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. Sensors 18(2): 679 (2018) - [j12]Zeyd Boukhers
Example-Based 3D Trajectory Extraction of Objects From 2D Videos. IEEE Trans. Circuits Syst. Video Technol. 28(9): 2246-2260 (2018) - [c40]Kimiaki Shirahama, Zhenying He, Kuniaki Uehara:
Kobe University and Kindai University at TRECVID 2018 AVS Task. TRECVID 2018 - 2017
- [j11]Cong Yang, Oliver Tiebe, Kimiaki Shirahama, Ewa Lukasik
Evaluating contour segment descriptors. Mach. Vis. Appl. 28(3-4): 373-391 (2017) - [c39]Philip Gouverneur
Classification of Physiological Data for Emotion Recognition. ICAISC (1) 2017: 619-627 - [c38]Joanna Jaworek-Korjakowska
Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature. ICAISC (1) 2017: 649-657 - [c37]Zhenying He, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2017 AVS Task. TRECVID 2017 - 2016
- [j10]Kimiaki Shirahama, Marcin Grzegorzek
Towards large-scale multimedia retrieval enriched by knowledge about human interpretation - Retrospective survey. Multim. Tools Appl. 75(1): 297-331 (2016) - [j9]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Environmental microbiology aided by content-based image analysis. Pattern Anal. Appl. 19(2): 531-547 (2016) - [j8]Cong Yang, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek
Object matching with hierarchical skeletons. Pattern Recognit. 55: 183-197 (2016) - [j7]Cong Yang, Christian Feinen, Oliver Tiebe, Kimiaki Shirahama
Shape-based object matching using interesting points and high-order graphs. Pattern Recognit. Lett. 83: 251-260 (2016) - [c36]Zeyd Boukhers
Convoy Detection in Crowded Surveillance Videos. HBU 2016: 137-147 - [c35]Kimiaki Shirahama, Lukas Köping, Marcin Grzegorzek
Codebook approach for sensor-based human activity recognition. UbiComp Adjunct 2016: 197-200 - [c34]Yan Ling Zou, Chen Li, Kimiaki Shirahama, Tao Jiang, Marcin Grzegorzek
Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation. ICIP 2016: 2475-2479 - [c33]Xinyu Huang
Stem cell microscopic image segmentation using supervised normalized cuts. ICIP 2016: 4140-4144 - [c32]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama, Marcin Grzegorzek
Unknown object tracking in 360-degree camera images. ICPR 2016: 1798-1803 - [c31]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama, Marcin Grzegorzek:
Polar Object Tracking in 360-Degree Camera Images. ISM 2016: 347-352 - [c30]Kimiaki Shirahama, Marcin Grzegorzek
Emotion Recognition Based on Physiological Sensor Data Using Codebook Approach. ITIB (2) 2016: 27-39 - [c29]Muhammad Hassan Khan, Kimiaki Shirahama, Muhammad Shahid Farid, Marcin Grzegorzek
Multiple human detection in depth images. MMSP 2016: 1-6 - [c28]Yasuyuki Matsumoto, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2016 AVS Task. TRECVID 2016 - 2015
- [j6]Kimiaki Shirahama, Marcin Grzegorzek
Weakly supervised detection of video events using hidden conditional random fields. Int. J. Multim. Inf. Retr. 4(1): 17-32 (2015) - [j5]Kimiaki Shirahama, Marcin Grzegorzek
Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey. J. Probl. Solving 8(1) (2015) - [j4]Minmin Shen
Interactive tracking of insect posture. Pattern Recognit. 48(11): 3560-3571 (2015) - [c27]Zeyd Boukhers
Object detection and depth estimation for 3D trajectory extraction. CBMI 2015: 1-6 - [c26]Yan Ling Zou, Chen Li, Zeyd Boukhers
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram. CORES 2015: 543-552 - [c25]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning. EMR@ICMR 2015: 9-14 - [c24]Zeyd Boukhers
Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter. ICMR 2015: 83-90 - [c23]Cong Yang, Christian Feinen, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek
Shape-based Object Matching Using Point Context. ICMR 2015: 519-522 - [c22]Kimiaki Shirahama, Takashi Shinozaki, Yasuyuki Matsumoto, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and NICT at TRECVID 2015 SIN and MED Tasks. TRECVID 2015 - [p1]Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek
Video Retrieval Based on Uncertain Concept Detection Using Dempster-Shafer Theory. Multimedia Data Mining and Analytics 2015: 269-294 - 2014
- [j3]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Hybrid negative example selection using visual and conceptual features. Multim. Tools Appl. 71(3): 967-989 (2014) - [c21]Cong Yang, Chen Li, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek
Shape-Based Classification of Environmental Microorganisms. ICPR 2014: 3374-3379 - [c20]Kimiaki Shirahama, Marcin Grzegorzek
Multimedia Event Detection Using Hidden Conditional Random Fields. ICMR 2014: 9 - 2013
- [c19]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Classification of environmental microorganisms in microscopic images using shape features and support vector machines. ICIP 2013: 2435-2439 - [c18]Kimiaki Shirahama, Chen Li, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. TRECVID 2013 - 2012
- [j2]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Event retrieval in video archives using rough set theory and partially supervised learning. Multim. Tools Appl. 57(1): 145-173 (2012) - [c17]Kimiaki Shirahama, Kuniaki Uehara, Marcin Grzegorzek
Examining the applicability of virtual reality technique for video retrieval. CBMI 2012: 1-6 - [c16]Kimiaki Shirahama, Kuniaki Uehara:
Kobe University and Muroran Institute of Technology at TRECVID 20112 Semantic Indexing Task. TRECVID 2012 - 2011
- [j1]Kimiaki Shirahama, Kuniaki Uehara:
Constructing and Utilizing Video Ontology for Accurate and Fast Retrieval. Int. J. Multim. Data Eng. Manag. 2(4): 59-75 (2011) - [c15]Kimiaki Shirahama, Kuniaki Uehara:
Effectiveness of Video Ontology in Query by Example Approach. AMT 2011: 49-58 - [c14]Kimiaki Shirahama, Kuniaki Uehara:
Query by Virtual Example: Video Retrieval Using Example Shots Created by Virtual Reality Techniques. ICIG 2011: 829-834 - [c13]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Video Event Retrieval from a Small Number of Examples Using Rough Set Theory. MMM (1) 2011: 96-106 - [c12]Kimiaki Shirahama, Kuniaki Uehara:
Utilizing Video Ontology for Fast and Accurate Query-by-Example Retrieval. ICSC 2011: 395-402 - [c11]Kimiaki Shirahama, Yanpeng Lin, Kuniaki Uehara:
Kobe University at TRECVID 2011 Semantic Indexing and Multimedia Event Detection. TRECVID 2011 - 2010
- [c10]Kimiaki Shirahama, Chieri Sugihara, Kuniaki Uehara:
Query-Based Video Event Definition Using Rough Set Theory and High-Dimensional Representation. MMM 2010: 358-369 - [c9]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Query by Few Video Examples Using Rough Set Theory and Partially Supervised Learning. SAMT 2010: 190-191
2000 – 2009
- 2009
- [c8]Kimiaki Shirahama, Chieri Sugihara, Kana Matsumura, Yuta Matsuoka, Kuniaki Uehara:
Mining Event Definitions from Queries for Video Retrieval on the Internet. ICDM Workshops 2009: 176-183 - [c7]Kimiaki Shirahama, Chieri Sugihara, Yuta Matsuoka, Kuniaki Uehara:
Query-based video event definition using rough set theory. EIMM@MM 2009: 9-16 - [c6]Kimiaki Shirahama, Chieri Sugihara, Yuta Matsuoka, Kana Matsumura, Kuniaki Uehara:
Kobe University at TRECVID 2009 Search Task. TRECVID 2009 - 2008
- [c5]Kimiaki Shirahama, Kuniaki Uehara:
A Novel Topic Extraction Method Based on Bursts in Video Streams. MUE 2008: 249-252 - [c4]Akihito Mizui, Kimiaki Shirahama, Kuniaki Uehara:
TRECVID 2008 NOTEBOOK PAPER: InteractiveSearch Using Multiple Queries and Rough Set Theory. TRECVID 2008 - 2005
- [c3]Kimiaki Shirahama, Koichi Ideno, Kuniaki Uehara:
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies. ISM 2005: 598-604 - 2004
- [c2]Kimiaki Shirahama, Kazuhisa Iwamoto, Kuniaki Uehara:
Video data mining: rhythms in a movie. ICME 2004: 1463-1466 - [c1]Kimiaki Shirahama, Yuya Matsuo, Kuniaki Uehara:
Mining Semantic Structures in Movies. INAP/WLP 2004: 116-133
Coauthor Index
[j29] [j28] [j27] [j26] [j25] [i4] [j23] [i3] [i1] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [c39] [c38] [c37] [j10] [j9] [j8] [j7] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j6] [j5] [j4] [c27] [c26] [c25] [c24] [c23] [c22] [p1] [c21] [c20] [c19] [c18] [c17]
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