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ORCIDMatti Pietikäinen
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- affiliation: University of Oulu, Finland
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2020 – today
- 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) - [i28]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) - 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]