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ORCIDMatti Pietikäinen
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- affiliation: University of Oulu, Finland
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2020 – today
- 2025
[j101]Jinghua Zhang
, Li Liu, Olli Silvén, Matti Pietikäinen, Dewen Hu:
Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2924-2945 (2025)- [j100]Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu:
Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3436-3449 (2025) - 2024
- [j99]Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars:
Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1319-1326 (2024) - [j98]Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu:
Deep Learning for Visual Speech Analysis: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6001-6022 (2024) - [j97]Chao Xiao, Wei An, Yifan Zhang, Zhuo Su, Miao Li, Weidong Sheng, Matti Pietikäinen, Li Liu:
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11532-11539 (2024) - [i29]Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. CoRR abs/2402.00422 (2024) - [i28]Chao Xiao, Wei An, Yifan Zhang, Zhuo Su, Miao Li, Weidong Sheng, Matti Pietikäinen, Li Liu:
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos. CoRR abs/2411.15895 (2024) - 2023
- [j96]Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14956-14974 (2023) - [j95]Björn W. Schuller, Matti Pietikäinen:
Affective Computing [Scanning the Issue]. Proc. IEEE 111(10): 1139-1141 (2023) - [j94]Guoying Zhao, Xiaobai Li, Yante Li, Matti Pietikäinen:
Facial Micro-Expressions: An Overview. Proc. IEEE 111(10): 1215-1235 (2023) - [j93]Yawen Cui, Wanxia Deng, Xin Xu, Zhen Liu, Zhong Liu, Matti Pietikäinen, Li Liu:
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. IEEE Trans. Multim. 25: 6422-6435 (2023) - [j92]Changchong Sheng, Li Liu, Wanxia Deng, Liang Bai, Zhong Liu, Songyang Lao, Gangyao Kuang, Matti Pietikäinen:
Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading. IEEE Trans. Multim. 25: 6563-6574 (2023) - [c185]Zhuo Su, Matti Pietikäinen, Li Liu:
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning. SCIA (2) 2023: 138-155 - [i27]Zhuo Su, Matti Pietikäinen, Li Liu:
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning. CoRR abs/2303.08414 (2023) - [i26]Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu:
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution. CoRR abs/2304.06305 (2023) - [i25]Jinghua Zhang, Li Liu, Olli Silvén, Matti Pietikäinen, Dewen Hu:
Few-shot Class-incremental Learning: A Survey. CoRR abs/2308.06764 (2023) - 2022
- [j91]Xiaohua Huang, Abhinav Dhall, Roland Goecke, Matti Pietikäinen, Guoying Zhao:
Analyzing Group-Level Emotion with Global Alignment Kernel based Approach. IEEE Trans. Affect. Comput. 13(2): 713-728 (2022) - [j90]Wanxia Deng, Lingjun Zhao, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Ladder-Suppression Network for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 52(10): 10735-10749 (2022) - [j89]Yuan Wang, Abdugheni Abliz, Hongbing Ma, Li Liu, Alishir Kurban, Ümüt Halik, Matti Pietikäinen, Wenjuan Wang:
Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j88]Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Feature Disentanglement for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 2407-2421 (2022) - [j87]Changchong Sheng, Xinzhong Zhu, Huiying Xu, Matti Pietikäinen, Li Liu:
Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading. IEEE Trans. Multim. 24: 3545-3557 (2022) - [c184]Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu:
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. 3DV 2022: 547-556 - [c183]Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Dynamic Binary Neural Network by Learning Channel-Wise Thresholds. ICASSP 2022: 1885-1889 - [i24]Matti Pietikäinen, Olli Silvén:
Challenges of Artificial Intelligence - From Machine Learning and Computer Vision to Emotional Intelligence. CoRR abs/2201.01466 (2022) - [i23]Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu:
Deep Learning for Visual Speech Analysis: A Survey. CoRR abs/2205.10839 (2022) - [i22]Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu:
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. CoRR abs/2209.05924 (2022) - [i21]Jiehua Zhang, Xueyang Zhang, Zhuo Su, Zitong Yu, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Boosting Binary Neural Networks via Dynamic Thresholds Learning. CoRR abs/2211.02292 (2022) - 2021
- [j86]Xiaohua Huang, Abhinav Dhall, Guoying Zhao, Wenming Zheng, Matti Pietikäinen:
Editorial for the special issue of IMAVIS on automatic face analytics for human behavior understanding. Image Vis. Comput. 110: 104185 (2021) - [j85]Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu:
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152: 398-405 (2021) - [c182]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. ICCV 2021: 5097-5107 - [c181]Wanxia Deng, Yawen Cui, Zhen Liu, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation. ACM Multimedia 2021: 1303-1312 - [c180]Changchong Sheng, Matti Pietikäinen, Qi Tian, Li Liu:
Cross-modal Self-Supervised Learning for Lip Reading: When Contrastive Learning meets Adversarial Training. ACM Multimedia 2021: 2456-2464 - [i20]Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Learning for Scene Classification: A Survey. CoRR abs/2101.10531 (2021) - [i19]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. CoRR abs/2108.07009 (2021) - [i18]Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Dynamic Binary Neural Network by learning channel-wise thresholds. CoRR abs/2110.05185 (2021) - 2020
- [j84]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j83]Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020) - [c179]Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu:
Dynamic Group Convolution for Accelerating Convolutional Neural Networks. ECCV (6) 2020: 138-155 - [i17]Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu:
Dynamic Group Convolution for Accelerating Convolutional Neural Networks. CoRR abs/2007.04242 (2020) - [i16]Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu:
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond. CoRR abs/2010.09294 (2020)
2010 – 2019
- 2019
- [j82]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. IEEE Access 7: 174517-174530 (2019) - [j81]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
From BoW to CNN: Two Decades of Texture Representation for Texture Classification. Int. J. Comput. Vis. 127(1): 74-109 (2019) - [j80]Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019) - [j79]Xiaohua Huang, Sujing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikäinen:
Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition. IEEE Trans. Affect. Comput. 10(1): 32-47 (2019) - [j78]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations Using GANet. IEEE Trans. Image Process. 28(8): 3910-3922 (2019) - [c178]Zhuo Su, Matti Pietikäinen, Li Liu:
BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition. BMVC 2019: 102 - [i15]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. CoRR abs/1907.09160 (2019) - 2018
- [j77]Chunxiao Fan, Xiaopeng Hong, Lei Tian, Yue Ming, Matti Pietikäinen, Guoying Zhao:
PCANet-II: When PCANet Meets the Second Order Pooling. IEICE Trans. Inf. Syst. 101-D(8): 2159-2162 (2018) - [j76]Chunxiao Fan, Lei Tian, Yue Ming, Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen:
Sparse projections matrix binary descriptors for face recognition. Neurocomputing 297: 8-21 (2018) - [j75]Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen:
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods. IEEE Trans. Affect. Comput. 9(4): 563-577 (2018) - [j74]Xiaohua Huang, Abhinav Dhall, Roland Goecke, Matti Pietikäinen, Guoying Zhao:
Multimodal Framework for Analyzing the Affect of a Group of People. IEEE Trans. Multim. 20(10): 2706-2721 (2018) - [c177]Lei Tian, Xiaopeng Hong, Chunxiao Fan, Yue Ming, Matti Pietikäinen, Guoying Zhao:
Sparse Tikhonov-Regularized Hashing for Multi-Modal Learning. ICIP 2018: 3793-3797 - [i14]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
A Survey of Recent Advances in Texture Representation. CoRR abs/1801.10324 (2018) - [i13]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations using GANet. CoRR abs/1802.04441 (2018) - [i12]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - [i11]Xiaohua Huang, Abhinav Dhall, Roland Goecke, Matti Pietikäinen, Guoying Zhao:
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation. CoRR abs/1809.03313 (2018) - 2017
- [j73]Jie Chen, Vishal M. Patel, Li Liu, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen, Rama Chellappa:
Robust local features for remote face recognition. Image Vis. Comput. 64: 34-46 (2017) - [j72]Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognit. 62: 135-160 (2017) - [j71]Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen:
HEp-2 Cell Classification via Combining Multiresolution Co-Occurrence Texture and Large Region Shape Information. IEEE J. Biomed. Health Informatics 21(2): 429-440 (2017) - [c176]Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, Matti Pietikäinen:
Rotation Invariant Local Binary Convolution Neural Networks. ICCV Workshops 2017: 1210-1219 - [i10]Lei Tian, Xiaopeng Hong, Guoying Zhao, Chunxiao Fan, Yue Ming, Matti Pietikäinen:
PCANet-II: When PCANet Meets the Second Order Pooling. CoRR abs/1710.00166 (2017) - 2016
- [j70]Stefanos Zafeiriou, Guoying Zhao, Matti Pietikäinen, Rama Chellappa, Irene Kotsia, Jeffrey F. Cohn:
Editorial of special issue on spontaneous facial behaviour analysis. Comput. Vis. Image Underst. 147: 50-51 (2016) - [j69]Xiaohua Huang, Jukka Kortelainen, Guoying Zhao, Xiaobai Li, Antti Moilanen, Tapio Seppänen, Matti Pietikäinen:
Multi-modal emotion analysis from facial expressions and electroencephalogram. Comput. Vis. Image Underst. 147: 114-124 (2016) - [j68]Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen:
Dynamic texture and scene classification by transferring deep image features. Neurocomputing 171: 1230-1241 (2016) - [j67]Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Wenming Zheng, Matti Pietikäinen:
Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns. Neurocomputing 175: 564-578 (2016) - [j66]Jie Chen, Zhen Lei, Li Liu, Guoying Zhao, Matti Pietikäinen:
RoLoD: Robust local descriptors for computer vision. Neurocomputing 184: 1-2 (2016) - [j65]Xianbiao Qi, Guoying Zhao, Linlin Shen, Qingquan Li, Matti Pietikäinen:
LOAD: Local orientation adaptive descriptor for texture and material classification. Neurocomputing 184: 28-35 (2016) - [j64]Xiaopeng Hong, Guoying Zhao, Stefanos Zafeiriou, Maja Pantic, Matti Pietikäinen:
Capturing correlations of local features for image representation. Neurocomputing 184: 99-106 (2016) - [j63]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen, Dewen Hu:
Extended local binary patterns for face recognition. Inf. Sci. 358-359: 56-72 (2016) - [j62]Xianbiao Qi, Guoying Zhao, Jie Chen, Matti Pietikäinen:
Exploring illumination robust descriptors for human epithelial type 2 cell classification. Pattern Recognit. 60: 420-429 (2016) - [j61]Juha Ylioinas, Norman Poh, Jukka Holappa, Matti Pietikäinen:
Data-driven techniques for smoothing histograms of local binary patterns. Pattern Recognit. 60: 734-747 (2016) - [j60]Xianbiao Qi, Guoying Zhao, Jie Chen, Matti Pietikäinen:
HEp-2 cell classification: The role of Gaussian Scale Space Theory as a pre-processing approach. Pattern Recognit. Lett. 82: 36-43 (2016) - [j59]Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Median Robust Extended Local Binary Pattern for Texture Classification. IEEE Trans. Image Process. 25(3): 1368-1381 (2016) - [j58]Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation. IEEE Trans. Image Process. 25(5): 1977-1992 (2016) - [c175]Takeshi Saitoh, Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
Concatenated Frame Image Based CNN for Visual Speech Recognition. ACCV Workshops (2) 2016: 277-289 - [c174]Li Liu, Paul W. Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu:
Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. ECCV (3) 2016: 69-86 - [c173]Jie Chen, Xianbiao Qi, Osmo Tervonen, Olli Silvén, Guoying Zhao, Matti Pietikäinen:
Thorax disease diagnosis using deep convolutional neural network. EMBC 2016: 2287-2290 - [c172]Xiaobai Li, Jukka Komulainen, Guoying Zhao, Pong Chi Yuen, Matti Pietikäinen:
Generalized face anti-spoofing by detecting pulse from face videos. ICPR 2016: 4244-4249 - [c171]Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen:
RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA 2016: 1-6 - [i9]Xiaopeng Hong, Xianbiao Qi, Guoying Zhao, Matti Pietikäinen:
Probing the Intra-Component Correlations within Fisher Vector for Material Classification. CoRR abs/1604.04473 (2016) - [i8]Xiaohua Huang, Sujing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikäinen:
Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection. CoRR abs/1608.02255 (2016) - [i7]Xiaohua Huang, Abhinav Dhall, Xin Liu, Guoying Zhao, Jingang Shi, Roland Goecke, Matti Pietikäinen:
Analyzing the Affect of a Group of People Using Multi-modal Framework. CoRR abs/1610.03640 (2016) - [i6]Matti Pietikäinen, Guoying Zhao:
Two decades of local binary patterns: A survey. CoRR abs/1612.06795 (2016) - 2015
- [j57]Xianbiao Qi, LinLin Shen, Guoying Zhao, Qingquan Li, Matti Pietikäinen:
Globally rotation invariant multi-scale co-occurrence local binary pattern. Image Vis. Comput. 43: 16-26 (2015) - [c170]Devangini Patel, Guoying Zhao, Matti Pietikäinen:
Spatiotemporal Integration of Optical Flow Vectors for Micro-expression Detection. ACIVS 2015: 369-380 - [c169]Yingyue Xu, Xiaopeng Hong, Qiuhai He, Guoying Zhao, Matti Pietikäinen:
A Task-Driven Eye Tracking Dataset for Visual Attention Analysis. ACIVS 2015: 637-648 - [c168]Xiaohua Huang, Abhinav Dhall, Guoying Zhao, Roland Goecke, Matti Pietikäinen:
Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis. BMVC 2015: 34.1-34.13 - [c167]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Unsupervised learning of overcomplete face descriptors. CVPR Workshops 2015: 75-83 - [c166]Iryna Anina, Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
OuluVS2: A multi-view audiovisual database for non-rigid mouth motion analysis. FG 2015: 1-5 - [c165]Xiaohua Huang, Sujing Wang, Guoying Zhao, Matti Pietikäinen:
Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern with Integral Projection. ICCV Workshops 2015: 1-9 - [c164]Li Liu, Paul W. Fieguth, Matti Pietikäinen, Songyang Lao:
Median robust extended local binary pattern for texture classification. ICIP 2015: 2319-2323 - [c163]Constantino Álvarez Casado, Miguel Bordallo López, Jukka Holappa, Matti Pietikäinen:
Face detection and recognition for smart glasses. ISCE 2015: 1-2 - [c162]Qiuhai He, Xiaopeng Hong, Xiujuan Chai, Jukka Holappa, Guoying Zhao, Xilin Chen, Matti Pietikäinen:
OMEG: Oulu Multi-Pose Eye Gaze Dataset. SCIA 2015: 418-427 - [c161]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Face Recognition Using Smoothed High-Dimensional Representation. SCIA 2015: 516-529 - [r3]Abdenour Hadid, Matti Pietikäinen:
Local Image Filters. Encyclopedia of Biometrics 2015: 1105-1111 - [i5]Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen:
Dynamic texture and scene classification by transferring deep image features. CoRR abs/1502.00303 (2015) - [i4]Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen:
HEp-2 Cell Classification via Fusing Texture and Shape Information. CoRR abs/1502.04658 (2015) - [i3]Xianbiao Qi, Guoying Zhao, LinLin Shen, Qingquan Li, Matti Pietikäinen:
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification. CoRR abs/1504.05809 (2015) - [i2]Xianbiao Qi, Guoying Zhao, Jie Chen, Matti Pietikäinen:
HEp-2 Cell Classification: The Role of Gaussian Scale Space Theory as A Pre-processing Approach. CoRR abs/1509.02320 (2015) - [i1]Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen:
Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition. CoRR abs/1511.00423 (2015) - 2014
- [j56]Juha Röning, Jukka Holappa, Vili Kellokumpu, Antti Tikanmäki, Matti Pietikäinen:
Minotaurus: A System for Affective Human-Robot Interaction in Smart Environments. Cogn. Comput. 6(4): 940-953 (2014) - [j55]Tiago Freitas Pereira, Jukka Komulainen, André Anjos, José Mario De Martino, Abdenour Hadid, Matti Pietikäinen, Sébastien Marcel:
Face liveness detection using dynamic texture. EURASIP J. Image Video Process. 2014: 2 (2014) - [j54]Rocio A. Lizarraga-Morales, Yimo Guo, Guoying Zhao, Matti Pietikäinen, Raúl Enrique Sánchez-Yáñez:
Local spatiotemporal features for dynamic texture synthesis. EURASIP J. Image Video Process. 2014: 17 (2014) - [j53]Ziheng Zhou, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen:
A review of recent advances in visual speech decoding. Image Vis. Comput. 32(9): 590-605 (2014) - [j52]Ziheng Zhou, Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen:
A Compact Representation of Visual Speech Data Using Latent Variables. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 1 (2014) - [j51]Zhen Lei, Matti Pietikäinen, Stan Z. Li:
Learning Discriminant Face Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 289-302 (2014) - [j50]Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen, Xilin Chen:
Combining LBP Difference and Feature Correlation for Texture Description. IEEE Trans. Image Process. 23(6): 2557-2568 (2014) - [c160]Xiaobai Li, Jie Chen, Guoying Zhao, Matti Pietikäinen:
Remote Heart Rate Measurement from Face Videos under Realistic Situations. CVPR 2014: 4264-4271 - [c159]Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen:
Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. ECCV Workshops (2) 2014: 63-79 - [c158]Jukka Komulainen, Abdenour Hadid, Matti Pietikäinen:
Generalized textured contact lens detection by extracting BSIF description from Cartesian iris images. IJCB 2014: 1-7 - [c157]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen:
Extended local binary pattern fusion for face recognition. ICIP 2014: 718-722 - [c156]Xiaohua Huang, Qiuhai He, Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen:
Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild. ICMI 2014: 514-520 - [c155]Utpala Musti, Ziheng Zhou, Matti Pietikäinen:
Facial 3D Shape Estimation from Images for Visual Speech Animation. ICPR 2014: 40-45 - [c154]Antti Moilanen, Guoying Zhao, Matti Pietikäinen:
Spotting Rapid Facial Movements from Videos Using Appearance-Based Feature Difference Analysis. ICPR 2014: 1722-1727 - [c153]Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng:
Robust Facial Expression Recognition Using Revised Canonical Correlation. ICPR 2014: 1734-1739 - [c152]Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen:
Pose Estimation via Complex-Frequency Domain Analysis of Image Gradient Orientations. ICPR 2014: 1740-1745 - [c151]Juha Ylioinas, Abdenour Hadid, Juho Kannala, Matti Pietikäinen:
An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition. ICPR 2014: 4471-4476 - [c150]Utpala Musti, Slim Ouni, Ziheng Zhou, Matti Pietikäinen:
3D Visual Speech Animation from Image Sequences. ICVGIP 2014: 47:1-47:7 - [c149]Matti Pietikäinen:
Computer vision for face-to-face human-computer interaction. IPTA 2014: 4 - [c148]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Learning local image descriptors using binary decision trees. WACV 2014: 347-354 - [p5]André Anjos, Jukka Komulainen, Sébastien Marcel, Abdenour Hadid, Matti Pietikäinen:
Face Anti-spoofing: Visual Approach. Handbook of Biometric Anti-Spoofing 2014: 65-82 - [r2]Matti Pietikäinen:
Texture Recognition. Computer Vision, A Reference Guide 2014: 789-793 - 2013
- [j49]Abdenour Hadid, Matti Pietikäinen:
Demographic classification from face videos using manifold learning. Neurocomputing 100: 197-205 (2013) - [j48]Matti Pietikäinen, Matthew Turk, Liang Wang, Guoying Zhao, Li Cheng:
Machine learning in motion analysis: New advances. Image Vis. Comput. 31(6-7): 419-420 (2013) - [j47]Chi-Ho Chan, Muhammad Atif Tahir, Josef Kittler, Matti Pietikäinen:
Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1164-1177 (2013) - [j46]Jie Chen, Guoying Zhao, Mikko Salo, Esa Rahtu, Matti Pietikäinen:
Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow. IEEE Trans. Image Process. 22(1): 326-339 (2013) - [j45]Yimo Guo, Guoying Zhao, Ziheng Zhou, Matti Pietikäinen:
Video Texture Synthesis With Multi-Frame LBP-TOP and Diffeomorphic Growth Model. IEEE Trans. Image Process. 22(10): 3879-3891 (2013) - [c147]Jie Chen, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen:
RLBP: Robust Local Binary Pattern. BMVC 2013 - [c146]Xiaohua Huang, Guoying Zhao, Matti Pietikäinen:
Emotion recognition from facial images with arbitrary views. BMVC 2013 - [c145]Jukka Komulainen, Abdenour Hadid, Matti Pietikäinen:
Context based face anti-spoofing. BTAS 2013: 1-8 - [c144]Xiaobai Li, Tomas Pfister, Xiaohua Huang, Guoying Zhao, Matti Pietikäinen:
A Spontaneous Micro-expression Database: Inducement, collection and baseline. FG 2013: 1-6 - [c143]John A. Ruiz-Hernandez, Matti Pietikäinen:
Encoding Local Binary Patterns using the re-parametrization of the second order Gaussian jet. FG 2013: 1-6 - [c142]Neslihan Bayramoglu, Guoying Zhao, Matti Pietikäinen:
CS-3DLBP and geometry based person independent 3D facial action unit detection. ICB 2013: 1-6 - [c141]Jukka Komulainen, Abdenour Hadid, Matti Pietikäinen, André Anjos, Sébastien Marcel:
Complementary countermeasures for detecting scenic face spoofing attacks. ICB 2013: 1-7 - [c140]Juha Ylioinas, Abdenour Hadid, Xiaopeng Hong, Matti Pietikäinen:
Age Estimation Using Local Binary Pattern Kernel Density Estimate. ICIAP (1) 2013: 141-150 - [c139]Guoying Zhao, Matti Pietikäinen:
Visual Speaker Identification with Spatiotemporal Directional Features. ICIAR 2013: 1-10 - [c138]Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen, Wenming Zheng:
Texture Description with Completed Local Quantized Patterns. SCIA 2013: 1-10 - [c137]Mohammad Ghahramani, Guoying Zhao, Matti Pietikäinen:
Incorporating Texture Intensity Information into LBP-Based Operators. SCIA 2013: 66-75 - [c136]Juha Ylioinas, Xiaopeng Hong, Matti Pietikäinen:
Constructing Local Binary Pattern Statistics by Soft Voting. SCIA 2013: 119-130 - [p4]Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Local Configuration Features and Discriminative Learnt Features for Texture Description. Local Binary Patterns 2013: 113-129 - [p3]John A. Ruiz-Hernandez, James L. Crowley, Augustin Lux, Matti Pietikäinen:
Histogram-Tensorial Gaussian Representations and its Applications to Facial Analysis. Local Binary Patterns 2013: 245-268 - 2012
- [j44]Jukka Määttä, Abdenour Hadid, Matti Pietikäinen:
Face spoofing detection from single images using texture and local shape analysis. IET Biom. 1(1): 3-10 (2012) - [j43]Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Discriminative features for texture description. Pattern Recognit. 45(10): 3834-3843 (2012) - [j42]Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikäinen:
Towards a dynamic expression recognition system under facial occlusion. Pattern Recognit. Lett. 33(16): 2181-2191 (2012) - [j41]Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikäinen:
Spatiotemporal Local Monogenic Binary Patterns for Facial Expression Recognition. IEEE Signal Process. Lett. 19(5): 243-246 (2012) - [j40]Ziheng Zhou, Guoying Zhao, Yimo Guo, Matti Pietikäinen:
An Image-Based Visual Speech Animation System. IEEE Trans. Circuits Syst. Video Technol. 22(10): 1420-1432 (2012) - [j39]Guoying Zhao, Timo Ahonen, Jiri Matas, Matti Pietikäinen:
Rotation-Invariant Image and Video Description With Local Binary Pattern Features. IEEE Trans. Image Process. 21(4): 1465-1477 (2012) - [c135]Rocio A. Lizarraga-Morales, Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor. ACCV Workshops (1) 2012: 38-49 - [c134]Jukka Komulainen, Abdenour Hadid, Matti Pietikäinen:
Face Spoofing Detection Using Dynamic Texture. ACCV Workshops (1) 2012: 146-157 - [c133]Juha Ylioinas, Abdenour Hadid, Yimo Guo, Matti Pietikäinen:
Efficient Image Appearance Description Using Dense Sampling Based Local Binary Patterns. ACCV (3) 2012: 375-388 - [c132]Neslihan Bayramoglu, Janne Heikkilä, Matti Pietikäinen:
Combining Textural and Geometrical Descriptors for Scene Recognition. ECCV Workshops (2) 2012: 32-41 - [c131]John A. Ruiz-Hernandez, James L. Crowley, Claudine Combe, Augustin Lux, Matti Pietikäinen:
Robust and Computationally Efficient Face Detection Using Gaussian Derivative Features of Higher Orders. ECCV Workshops (3) 2012: 567-577 - [c130]Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Dynamic Facial Expression Recognition Using Longitudinal Facial Expression Atlases. ECCV (2) 2012: 631-644 - [c129]Jukka Kortelainen, Suvi Tiinanen, Xiaohua Huang, Xiaobai Li, Seppo J. Laukka, Matti Pietikäinen, Tapio Seppänen:
Multimodal emotion recognition by combining physiological signals and facial expressions: A preliminary study. EMBC 2012: 5238-5241 - [c128]Christopher McCool, Sébastien Marcel, Abdenour Hadid, Matti Pietikäinen, Pavel Matejka, Jan Cernocký, Norman Poh, Josef Kittler, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Philip A. Tresadern, Timothy F. Cootes:
Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data. ICME Workshops 2012: 635-640 - [c127]Juha Ylioinas, Abdenour Hadid, Matti Pietikäinen:
Age Classification in Unconstrained Conditions Using LBP Variants. ICPR 2012: 1257-1260 - [c126]Valtteri Takala, Matti Pietikäinen:
CMV100: A dataset for people tracking and re-identification in sparse camera networks. ICPR 2012: 1387-1390 - [c125]Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen, Xilin Chen:
Combining local and global correlation for texture description. ICPR 2012: 2756-2759 - [c124]Abdenour Hadid, Mohammad Ghahramani, Vili Kellokumpu, Matti Pietikäinen, John D. Bustard, Mark S. Nixon:
Can gait biometrics be Spoofed? ICPR 2012: 3280-3283 - [c123]Jie Chen, Guoying Zhao, Matti Pietikäinen:
Unsupervised dynamic texture segmentation using local descriptors in volumes. ICPR 2012: 3622-3625 - 2011
- [b1]Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen:
Computer Vision Using Local Binary Patterns. Computational Imaging and Vision 40, Springer 2011, ISBN 978-0-85729-747-1, pp. 1-204 - [j38]Guoying Zhao, Xiaohua Huang, Matti Taini, Stan Z. Li, Matti Pietikäinen:
Facial expression recognition from near-infrared videos. Image Vis. Comput. 29(9): 607-619 (2011) - [j37]Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen:
Recognition of human actions using texture descriptors. Mach. Vis. Appl. 22(5): 767-780 (2011) - [j36]Abdenour Hadid, Jean-Luc Dugelay, Matti Pietikäinen:
On the use of dynamic features in face biometrics: recent advances and challenges. Signal Image Video Process. 5(4): 495-506 (2011) - [j35]Zhen Lei, Shengcai Liao, Matti Pietikäinen, Stan Z. Li:
Face Recognition by Exploring Information Jointly in Space, Scale and Orientation. IEEE Trans. Image Process. 20(1): 247-256 (2011) - [c122]Yimo Guo, Guoying Zhao, Matti Pietikäinen:
Texture Classification using a Linear Configuration Model based Descriptor. BMVC 2011: 1-10 - [c121]Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
Towards a practical lipreading system. CVPR 2011: 137-144 - [c120]Zhen Lei, Timo Ahonen, Matti Pietikäinen, Stan Z. Li:
Local frequency descriptor for low-resolution face recognition. FG 2011: 161-166 - [c119]Murali Mohan Chakka, André Anjos, Sébastien Marcel, Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, Gabriele Murgia, Marco Ristori, Fabio Roli, Junjie Yan, Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z. Li, William Robson Schwartz, Anderson Rocha, Hélio Pedrini, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Jukka Määttä, Abdenour Hadid, Matti Pietikäinen:
Competition on counter measures to 2-D facial spoofing attacks. IJCB 2011: 1-6 - [c118]Jukka Määttä, Abdenour Hadid, Matti Pietikäinen:
Face spoofing detection from single images using micro-texture analysis. IJCB 2011: 1-7 - [c117]Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen:
Recognising spontaneous facial micro-expressions. ICCV 2011: 1449-1456 - [c116]Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen:
Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework. ICCV Workshops 2011: 868-875 - [c115]Jie Chen, Guoying Zhao, Vili-Petteri Kellokumpu, Matti Pietikäinen:
Combining sparse and dense descriptors with temporal semantic structures for robust human action recognition. ICCV Workshops 2011: 1524-1531 - [c114]Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng:
Expression Recognition in Videos Using a Weighted Component-Based Feature Descriptor. SCIA 2011: 569-578 - [c113]Juha Ylioinas, Abdenour Hadid, Matti Pietikäinen:
Combining Contrast Information and Local Binary Patterns for Gender Classification. SCIA 2011: 676-686 - [p2]Joni-Kristian Kämäräinen, Abdenour Hadid, Matti Pietikäinen:
Local Representation of Facial Features. Handbook of Face Recognition 2011: 79-108 - [p1]Birgitta Martinkauppi, Abdenour Hadid, Matti Pietikäinen:
Skin Color in Face Analysis. Handbook of Face Recognition 2011: 223-249 - 2010
- [j34]Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietikäinen, Xilin Chen, Wen Gao:
WLD: A Robust Local Image Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1705-1720 (2010) - [j33]Matti Pietikäinen:
Local Binary Patterns. Scholarpedia 5(3): 9775 (2010) - [c112]Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu:
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification. ACCV (3) 2010: 185-198 - [c111]Yinghao Cai, Matti Pietikäinen:
Person Re-identification Based on Global Color Context. ACCV Workshops (1) 2010: 205-215 - [c110]Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng:
Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion. ACIVS (2) 2010: 312-322 - [c109]Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen:
Dynamic textures for human movement recognition. CIVR 2010: 470-476 - [c108]Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, Stan Z. Li:
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. CVPR 2010: 1301-1306 - [c107]Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikkilä, Wen Gao, Matti Pietikäinen:
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection. ECCV (1) 2010: 327-340 - [c106]Valtteri Takala, Yinghao Cai, Matti Pietikäinen:
Boosting Clusters of Samples for Sequence Matching in Camera Networks. ICPR 2010: 400-403 - [c105]Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
Lipreading: A Graph Embedding Approach. ICPR 2010: 523-526 - [c104]Yinghao Cai, Valtteri Takala, Matti Pietikäinen:
Matching Groups of People by Covariance Descriptor. ICPR 2010: 2744-2747 - [c103]Yinghao Cai, Kaiqi Huang, Tieniu Tan, Matti Pietikäinen:
Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis. ICPR 2010: 3541-3544 - [c102]Ziheng Zhou, Guoying Zhao, Matti Pietikäinen:
Synthesizing a talking mouth. ICVGIP 2010: 211-218 - [c101]Guoying Zhao, Xiaohua Huang, Yulia Gizatdinova, Matti Pietikäinen:
Combining dynamic texture and structural features for speaker identification. MiFor@MM 2010: 93-98
2000 – 2009
- 2009
- [j32]Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid:
Description of interest regions with local binary patterns. Pattern Recognit. 42(3): 425-436 (2009) - [j31]Abdenour Hadid, Matti Pietikäinen:
Combining appearance and motion for face and gender recognition from videos. Pattern Recognit. 42(11): 2818-2827 (2009) - [j30]Timo Ahonen, Matti Pietikäinen:
Image description using joint distribution of filter bank responses. Pattern Recognit. Lett. 30(4): 368-376 (2009) - [j29]Guoying Zhao, Matti Pietikäinen:
Boosted multi-resolution spatiotemporal descriptors for facial expression recognition. Pattern Recognit. Lett. 30(12): 1117-1127 (2009) - [j28]Guoying Zhao, Mark Barnard, Matti Pietikäinen:
Lipreading With Local Spatiotemporal Descriptors. IEEE Trans. Multim. 11(7): 1254-1265 (2009) - [c100]Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietikäinen, Zhengguang Xu:
A New Gabor Phase Difference Pattern for Face and Ear Recognition. CAIP 2009: 41-49 - [c99]Abdenour Hadid, Matti Pietikäinen:
Manifold Learning for Video-to-Video Face Recognition. COST 2101/2102 Conference 2009: 9-16 - [c98]Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Learning mappings for face synthesis from near infrared to visual light images. CVPR 2009: 156-163 - [c97]Timo Ahonen, Matti Pietikäinen:
Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation. ICB 2009: 52-61 - [c96]Abdenour Hadid, Matti Pietikäinen:
Manifold Learning for Gender Classification from Face Sequences. ICB 2009: 82-91 - [c95]Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Dynamic Texture Based Gait Recognition. ICB 2009: 1000-1009 - [c94]Jie Chen, Guoying Zhao, Matti Pietikäinen:
An improved local descriptor and threshold learning for unsupervised dynamic texture segmentation. ICCV Workshops 2009: 460-467 - [c93]Chi-Ho Chan, Josef Kittler, Norman Poh, Timo Ahonen, Matti Pietikäinen:
(Multiscale) Local Phase Quantisation histogram discriminant analysis with score normalisation for robust face recognition. ICCV Workshops 2009: 633-640 - [c92]Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietikäinen, Zhengguang Xu:
Dynamic texture synthesis using a spatial temporal descriptor. ICIP 2009: 2277-2280 - [c91]Timo Ahonen, Jiri Matas, Chu He, Matti Pietikäinen:
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features. SCIA 2009: 61-70 - [c90]Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu:
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition. SCIA 2009: 229-238 - [c89]Matti Taini, Guoying Zhao, Matti Pietikäinen:
Weight-Based Facial Expression Recognition from Near-Infrared Video Sequences. SCIA 2009: 239-248 - [r1]Abdenour Hadid, Matti Pietikäinen:
Local Image Filters. Encyclopedia of Biometrics 2009: 943-949 - 2008
- [c88]Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen:
Human Activity Recognition Using a Dynamic Texture Based Method. BMVC 2008: 1-10 - [c87]Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen, Wen Gao, Matti Pietikäinen:
A robust descriptor based on Weber's Law. CVPR 2008 - [c86]Guoying Zhao, Matti Pietikäinen:
Principal appearance and motion from boosted spatiotemporal descriptors. CVPR Workshops 2008: 1-8 - [c85]Zhen Lei, Shengcai Liao, Ran He, Matti Pietikäinen, Stan Z. Li:
Gabor volume based local binary pattern for face representation and recognition. FG 2008: 1-6 - [c84]Jie Chen, Guoying Zhao, Matti Pietikäinen:
Unsupervised dynamic texture segmentation using local spatiotemporal descriptors. ICPR 2008: 1-4 - [c83]Abdenour Hadid, Matti Pietikäinen:
Combining motion and appearance for gender classification from video sequences. ICPR 2008: 1-4 - [c82]Chu He, Timo Ahonen, Matti Pietikäinen:
A Bayesian Local Binary Pattern texture descriptor. ICPR 2008: 1-4 - [c81]Matti Taini, Guoying Zhao, Stan Z. Li, Matti Pietikäinen:
Facial expression recognition from near-infrared video sequences. ICPR 2008: 1-4 - [c80]Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen:
Texture Based Description of Movements for Activity Analysis. VISAPP (2) 2008: 206-213 - [c79]Matti-Antero Okkonen, Janne Heikkilä, Matti Pietikäinen:
A Feature Guided Particle Filter for Robust Handtracking. VISAPP (2) 2008: 368-374 - [c78]Timo Ahonen, Matti Pietikäinen:
A Framework for Analyzing Texture Descriptors. VISAPP (1) 2008: 507-512 - 2007
- [j27]Guoying Zhao, Matti Pietikäinen:
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 915-928 (2007) - [c77]Abdenour Hadid, Matti Pietikäinen, Stan Z. Li:
Learning Personal Specific Facial Dynamics for Face Recognition from Videos. AMFG 2007: 1-15 - [c76]Valtteri Takala, Matti Pietikäinen:
Multi-Object Tracking Using Color, Texture and Motion. CVPR 2007 - [c75]Abdenour Hadid, Jarkko Y. Heikkilä, Olli Silvén, Matti Pietikäinen:
Face and Eye Detection for Person Authentication in Mobile Phones. ICDSC 2007: 101-108 - [c74]Guoying Zhao, Matti Pietikäinen:
Experiments with Facial Expression Recognition using Spatiotemporal Local Binary Patterns. ICME 2007: 1091-1094 - [c73]Guoying Zhao, Matti Pietikäinen, Abdenour Hadid:
Local spatiotemporal descriptors for visual recognition of spoken phrases. HCM@MM 2007: 57-66 - [c72]Guoying Zhao, Matti Pietikäinen:
Improving Rotation Invariance of the Volume Local Binary Pattern Operator. MVA 2007: 327-330 - [c71]Matti-Antero Okkonen, Vili Kellokumpu, Matti Pietikäinen, Janne Heikkilä:
A Visual System for Hand Gesture Recognition in Human-Computer Interaction. SCIA 2007: 709-718 - 2006
- [j26]Oleg Okun, Matti Pietikäinen:
Fast and Accurate Ground Truth Generation for Skew-Tolerance Evaluation of Page Segmentation Algorithms. EURASIP J. Adv. Signal Process. 2006 (2006) - [j25]Markus Turtinen, Matti Pietikäinen, Olli Silvén:
Visual Characterization of Paper Using Isomap and Local Binary Patterns. IEICE Trans. Inf. Syst. 89-D(7): 2076-2083 (2006) - [j24]Marko Heikkilä, Matti Pietikäinen:
A Texture-Based Method for Modeling the Background and Detecting Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 657-662 (2006) - [j23]Timo Ahonen, Abdenour Hadid, Matti Pietikäinen:
Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 2037-2041 (2006) - [c70]Markus Turtinen, Matti Pietikäinen:
Contextual Analysis of Textured Scene Images. BMVC 2006: 849-858 - [c69]Guoying Zhao, Matti Pietikäinen:
Dynamic Texture Recognition Using Volume Local Binary Patterns. WDV 2006: 165-177 - [c68]Guoying Zhao, Guoyi Liu, Hua Li, Matti Pietikäinen:
3D Gait Recognition Using Multiple Cameras. FGR 2006: 529-534 - [c67]Guoying Zhao, Matti Pietikäinen:
Local Binary Pattern Descriptors for Dynamic Texture Recognition. ICPR (2) 2006: 211-214 - [c66]Abdenour Hadid, Matti Pietikäinen:
A Hybrid Approach to Face Detection under Unconstrained Environments. ICPR (1) 2006: 227-230 - [c65]Guoying Zhao, Li Cui, Hua Li, Matti Pietikäinen:
Gait Recognition Using Fractal Scale and Wavelet Moments. ICPR (4) 2006: 453-456 - [c64]Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid:
Description of Interest Regions with Center-Symmetric Local Binary Patterns. ICVGIP 2006: 58-69 - [c63]Xiaoyi Feng, Li-ping Yang, Zhi Dang, Matti Pietikäinen:
Eyes Location Using a Neural Network. ISNN (2) 2006: 474-479 - 2005
- [j22]Birgitta Martinkauppi, Maricor Soriano, Matti Pietikäinen:
Comparison of skin color detection and tracking methods under varying illumination. J. Electronic Imaging 14(4): 043014 (2005) - [j21]Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Incremental locally linear embedding. Pattern Recognit. 38(10): 1764-1767 (2005) - [c62]Xiaoyi Feng, Matti Pietikäinen, Abdenour Hadid, Hongmei Xie:
A Novel Real Time System for Facial Expression Recognition. ACII 2005: 248-256 - [c61]Matti Pietikäinen, Abdenour Hadid:
Texture Features in Facial Image Analysis. IWBRS 2005: 1-8 - [c60]Xiaoyi Feng, Jie Cui, Matti Pietikäinen, Abdenour Hadid:
Real Time Facial Expression Recognition Using Local Binary Patterns and Linear Programming. MICAI 2005: 328-336 - [c59]Marko Heikkilä, Matti Pietikäinen:
An image mosaicing module for wide-area surveillance. VSSN@MM 2005: 11-18 - [c58]Markus Turtinen, Matti Pietikäinen, Olli Silvén:
Visual Characterization of Paper Using Isomap and Local Binary Patterns. MVA 2005: 210-213 - [c57]Vili Kellokumpu, Matti Pietikäinen, Janne Heikkilä:
Human Activity Recognition Using Sequences of Postures. MVA 2005: 570-573 - [c56]Matti Pietikäinen:
Image Analysis with Local Binary Patterns. SCIA 2005: 115-118 - [c55]Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Incremental Locally Linear Embedding Algorithm. SCIA 2005: 521-530 - [c54]Valtteri Takala, Timo Ahonen, Matti Pietikäinen:
Block-Based Methods for Image Retrieval Using Local Binary Patterns. SCIA 2005: 882-891 - 2004
- [j20]Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen:
View-based recognition of real-world textures. Pattern Recognit. 37(2): 313-323 (2004) - [j19]Topi Mäenpää, Matti Pietikäinen:
Classification with color and texture: jointly or separately? Pattern Recognit. 37(8): 1629-1640 (2004) - [c53]Marko Heikkilä, Matti Pietikäinen, Janne Heikkilä:
A Texture-based Method for Detecting Moving Objects. BMVC 2004: 1-10 - [c52]Abdenour Hadid, Matti Pietikäinen, Timo Ahonen:
A Discriminative Feature Space for Detecting and Recognizing Faces. CVPR (2) 2004: 797-804 - [c51]Timo Ahonen, Abdenour Hadid, Matti Pietikäinen:
Face Recognition with Local Binary Patterns. ECCV (1) 2004: 469-481 - [c50]Abdenour Hadid, Matti Pietikäinen:
From Still Image to Video-Based Face Recognition: An Experimental Analysis. FGR 2004: 813-818 - [c49]Xiaoyi Feng, Abdenour Hadid, Matti Pietikäinen:
A Coarse-to-Fine Classification Scheme for Facial Expression Recognition. ICIAR (2) 2004: 668-675 - [c48]Timo Ahonen, Matti Pietikäinen, Abdenour Hadid, Topi Mäenpää:
Face Recognition Based on the Appearance of Local Regions. ICPR (3) 2004: 153-156 - [c47]Abdenour Hadid, Matti Pietikäinen:
Selecting Models from Videos for Appearance-Based Face Recognition. ICPR (1) 2004: 304-308 - 2003
- [j18]Topi Mäenpää, Jaakko Viertola, Matti Pietikäinen:
Optimising Colour and Texture Features for Real-time Visual Inspection. Pattern Anal. Appl. 6(3): 169-175 (2003) - [j17]Topi Mäenpää, Markus Turtinen, Matti Pietikäinen:
Real-time surface inspection by texture. Real Time Imaging 9(5): 289-296 (2003) - [c46]Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine. ESANN 2003: 229-234 - [c45]Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Supervised Locally Linear Embedding Algorithm for Pattern Recognition. IbPRIA 2003: 386-394 - [c44]Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin:
Supervised Locally Linear Embedding. ICANN 2003: 333-341 - [c43]Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen:
View-based recognition of 3D-textured surfaces. ICIAP 2003: 530-535 - [c42]Matti Pietikäinen:
Detection of skin color under changing illumination: a comparative study. ICIAP 2003: 652-657 - [c41]Abdenour Hadid, Matti Pietikäinen:
Efficient Locally Linear Embeddings of Imperfect Manifolds. MLDM 2003: 188-201 - [c40]Topi Mäenpää, Matti Pietikäinen:
Multi-scale Binary Patterns for Texture Analysis. SCIA 2003: 885-892 - [c39]Markus Turtinen, Topi Mäenpää, Matti Pietikäinen:
Texture Classification by Combining Local Binary Pattern Features and a Self-Organizing Map. SCIA 2003: 1162-1169 - 2002
- [j16]Timo Ojala, Matti Pietikäinen, Topi Mäenpää:
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 971-987 (2002) - [c38]Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
Selection of the Optimal Parameter value for the Locally Linear Embedding Algorithm. FSKD 2002: 359-363 - [c37]Oleg Okun, Yu Yan, Matti Pietikäinen:
Robust Text Detection from Binarized Document Images. ICPR (3) 2002: 61-64 - [c36]Abdenour Hadid, Olga Kouropteva, Matti Pietikäinen:
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis. ICPR (1) 2002: 111-114 - [c35]Abdenour Hadid, Matti Pietikäinen, Birgitta Martinkauppi:
Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering. ICPR (4) 2002: 196-200 - [c34]Topi Mäenpää, Matti Pietikäinen, Jaakko Viertola:
Separating Color and Pattern Information for Color Texture Discrimination. ICPR (1) 2002: 668-671 - [c33]Timo Ojala, Topi Mäenpää, Matti Pietikäinen, Jaakko Viertola, Juha Kyllönen, Sami Huovinen:
Outex- New Framework for Empirical Evaluation of Texture Analysis Algorithms. ICPR (1) 2002: 701-706 - 2001
- [j15]Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen:
Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognit. 34(3): 727-739 (2001) - [c32]Oleg Okun, Ari Vesanen, Matti Pietikäinen:
Experimental tool for generating ground truths for skewed page images. Document Recognition and Retrieval 2001: 22-33 - [c31]Timo Ojala, Matti Pietikäinen, Topi Mäenpää:
A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification. ICAPR 2001: 397-406 - [c30]Matti Pietikäinen, Oleg Okun:
Edge-Based Method for Text Detection from Complex Document Images. ICDAR 2001: 286-291 - 2000
- [j14]Elzbieta Marszalec, Birgitta Martinkauppi, Maricor Soriano, Matti Pietikäinen:
Physics-based face database for color research. J. Electronic Imaging 9(1): 32-38 (2000) - [j13]Matti Pietikäinen, Timo Ojala, Zelin Xu:
Rotation-invariant texture classification using feature distributions. Pattern Recognit. 33(1): 43-52 (2000) - [j12]Jaakko J. Sauvola, Matti Pietikäinen:
Adaptive document image binarization. Pattern Recognit. 33(2): 225-236 (2000) - [c29]Timo Ojala, Matti Pietikäinen, Topi Mäenpää:
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns. ECCV (1) 2000: 404-420 - [c28]Topi Mäenpää, Timo Ojala, Matti Pietikäinen, Maricor Soriano:
Robust Texture Classification by Subsets of Local Binary Patterns. ICPR 2000: 3947-3950 - [c27]Topi Mäenpää, Matti Pietikäinen, Timo Ojala:
Texture Classification by Multi-Predicate Local Binary Pattern Operators. ICPR 2000: 3951-3954 - [c26]Oleg Okun, Matti Pietikäinen:
Automatic Ground-Truth Generation for Skew-Tolerance Evaluation of Document Layout Analysis Methods. ICPR 2000: 4376-4379 - [c25]Juha Kyllönen, Matti Pietikäinen:
Visual Inspection of Parquet Slabs by Combining Color and Texture. MVA 2000: 187-192
1990 – 1999
- 1999
- [j11]Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola:
Document skew estimation without angle range restriction. Int. J. Document Anal. Recognit. 2(2-3): 132-144 (1999) - [j10]Timo Ojala, Matti Pietikäinen:
Unsupervised texture segmentation using feature distributions. Pattern Recognit. 32(3): 477-486 (1999) - [c24]Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola:
Robust Skew Estimation on Low-Resolution Document Images. ICDAR 1999: 621-624 - 1998
- [c23]Sami Nieminen, Jaakko J. Sauvola, Tapio Seppänen, Matti Pietikäinen:
Benchmarking system for document analysis algorithms. Document Recognition 1998: 100-111 - [c22]Timo Ojala, Matti Pietikäinen:
Nonparametric multichannel texture description with simple spatial operators. ICPR 1998: 1052-1056 - 1997
- [c21]Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Matti Pietikäinen:
Techniques for the Automated Testing of Document Analysis Algorithms. BSDIA 1997: 201-212 - [c20]Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Christian K. Shin, M. Koivusaari, Matti Pietikäinen:
Graphical Tools and Techniques for Querying Document Image Databases. BSDIA 1997: 213-224 - [c19]Jaakko J. Sauvola, David S. Doermann, Matti Pietikäinen:
Locally adaptive document skew detection. Document Recognition 1997: 96-108 - [c18]Jaakko J. Sauvola, Tapio Seppänen, Sami Haapakoski, Matti Pietikäinen:
Adaptive Document Binarization. ICDAR 1997: 147-152 - [c17]Jaakko J. Sauvola, Sami Haapakoski, Hannu Kauniskangas, Tapio Seppänen, Matti Pietikäinen, David S. Doermann:
A distributed management system for testing document image analysis algorithms. ICDAR 1997: 989-995 - [c16]Timo Ojala, Matti Pietikäinen:
Unsupervised Texture Segmentation Using Feature Distributions. ICIAP (1) 1997: 311-318 - 1996
- [j9]Elzbieta Marsylaec, Matti Pietikäinen:
Some Aspects of RGB Vision and Its Applications in Industry. Int. J. Pattern Recognit. Artif. Intell. 10(1): 55-72 (1996) - [j8]Timo Ojala, Matti Pietikäinen, Jarkko Nisula:
Determining Composition of Grain Mixtures by Texture Classification Based on Feature Distributions. Int. J. Pattern Recognit. Artif. Intell. 10(1): 73-82 (1996) - [j7]Timo Ojala, Matti Pietikäinen, David Harwood:
A comparative study of texture measures with classification based on featured distributions. Pattern Recognit. 29(1): 51-59 (1996) - [c15]David S. Doermann, Jaakko J. Sauvola, Hannu Kauniskangas, Christian K. Shin, Matti Pietikäinen, Azriel Rosenfeld:
The Development of a General Framework for Intelligent Document Image Retrieval. DAS 1996: 433-460 - [c14]Jaakko J. Sauvola, Matti Pietikäinen:
A document management interface utilizing page decomposition and content-based compression. ICPR 1996: 752-757 - [c13]Matti Pietikäinen, Sami Nieminen, Elzbieta Marszalec, Timo Ojala:
Accurate color discrimination with classification based on feature distributions. ICPR 1996: 833-838 - 1995
- [j6]Hannu Kauppinen, Tapio Seppänen, Matti Pietikäinen:
An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification. IEEE Trans. Pattern Anal. Mach. Intell. 17(2): 201-207 (1995) - [j5]David Harwood, Timo Ojala, Matti Pietikäinen, Shalom Kelman, Larry S. Davis:
Texture classification by center-symmetric auto-correlation, using Kullback discrimination of distributions. Pattern Recognit. Lett. 16(1): 1-10 (1995) - [c12]Jaakko J. Sauvola, Matti Pietikäinen:
Page segmentation and classification using fast feature extraction and connectivity analysis. ICDAR 1995: 1127-1131 - 1994
- [c11]Elzbieta Marszalec, Matti Pietikäinen:
Online color camera calibration. ICPR (1) 1994: 232-237 - [c10]Timo Ojala, Matti Pietikäinen, David Harwood:
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions. ICPR (1) 1994: 582-585 - [c9]Tapio Seppänen, Pasi Hyttinen, Matti Pietikäinen, Hannu Hahtala, Jukka Rajala:
A System for Recognizing Forms and Characters on Cylindrical Objects. MVA 1994: 143-146 - 1992
- [c8]Visa Koivunen, Matti Pietikäinen:
Evaluating quality of surface description using robust methods. ICPR (3) 1992: 214-218 - [c7]Timo Ojala, Matti Pietikäinen, Olli Silvén:
Edge-based texture measures for surface inspection. ICPR (2) 1992: 594-598 - 1990
- [j4]Timo Piironen, Olli Silvén, Matti Pietikäinen, Toni Laitinen, Esko Strömmer:
Automated visual inspection of rolled metal surfaces. Mach. Vis. Appl. 3(4): 247-254 (1990) - [c6]Matti Pietikäinen, Tapio Seppänen, Pertti Alapuranen:
A hybrid computer architecture for machine vision. ICPR (2) 1990: 426-431 - [c5]Tapani Westman, David Harwood, Toni Laitinen, Matti Pietikäinen:
Color segmentation by hierarchical connected components analysis with image enhancement by symmetric neighborhood filters. ICPR (1) 1990: 796-802 - [c4]Juha Röning, Tapio Taipale, Matti Pietikäinen:
A 3-D scene interpreter for indoor navigation. IROS 1990: 695-701
1980 – 1989
- 1988
- [c3]Timo Piironen, Olli Silvén, Toni Laitinen, Esko Strömmer, Matti Pietikäinen:
An Automated System For Metal Strip Inspection. MVA 1988: 397-400 - 1987
- [c2]Heikki Ailisto, Matti Pietikäinen:
Ferguson patch based method for representation of 3-D scenes. ICRA 1987: 1737-1740 - 1986
- [c1]Juha Röning, Mikko Lindholm, Matti Pietikäinen:
A Computer-Controlled Test Vehicle for Robot Vision. IAS 1986: 533-539 - 1983
- [j3]Matti Pietikäinen, Azriel Rosenfeld, Larry S. Davis:
Experiments with texture classification using averages of local pattern matches. IEEE Trans. Syst. Man Cybern. 13(3): 421-426 (1983) - [j2]Leslie J. Kitchen, Matti Pietikäinen, Azriel Rosenfeld, Cheng-Ye Wang:
Multispectral image smoothing guided by global distribution of pixel values. IEEE Trans. Syst. Man Cybern. 13(4): 626-631 (1983) - 1982
- [j1]Matti Pietikäinen, Azriel Rosenfeld, Ingrid Walter:
Split-and-link algorithms for image segmentation. Pattern Recognit. 15(4): 287-298 (1982)
Coauthor Index
Vili Kellokumpu
aka: Vili-Petteri Kellokumpu
aka: Vili-Petteri Kellokumpu
Jukka Komulainen
aka: Jukka Määttä
aka: Jukka Määttä
[j101] [j100] [j99] [j98] [j97] [i29] [i28] [j96] [j93] [j92] [c185] [i27] [i26] [i25] [j90] [j89] [j88] [j87] [c184] [c183] [i23] [i22] [i21] [j85] [c182] [c181] [c180] [i20] [i19] [i18] [j84] [j83] [c179] [i17] [i16] [j82] [j81] [j80] [j78] [c178] [i15] [i14] [i13] [i12] [j73] [j72] [c176] [j66] [j63] [j59] [c174] [c164] [c157]
[j94] [j91] [j86] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [c177] [i14] [i13] [i11] [j73] [j71] [i10] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j60] [j58] [c175] [c173] [c172] [i9] [i8] [i7] [i6] [j57] [c170] [c169] [c168] [c166] [c165] [c162] [i5] [i4] [i3] [i2] [i1] [j54] [j53] [j52] [j50] [c160] [c157] [c156] [c154] [c153] [c152] [j48] [j46] [j45] [c147] [c146] [c144] [c142] [c139] [c138] [c137] [p4] [j43] [j42] [j41] [j40] [j39] [c135] [c130] [c125] [c123] [b1] [j38] [j37] [c122] [c121] [c117] [c116] [c115] [c114] [j34] [c112] [c110] [c109] [c108] [c105] [c102] [c101] [j29] [j28] [c100] [c98] [c95] [c94] [c92] [c90] [c89] [c88] [c87] [c86] [c84] [c81] [c80] [j27] [c74] [c73] [c72] [c69] [c68] [c67] [c65]
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