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ORCIDJanne Heikkilä
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- affiliation: University of Oulu, Oulu, Finland
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2020 – today
- 2023
[c142]Snehal Bhayani, Torsten Sattler, Viktor Larsson, Janne Heikkilä, Zuzana Kukelova:
Partially calibrated semi-generalized pose from hybrid point correspondences. WACV 2023: 2881-2890- [i35]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR abs/2301.01057 (2023) - [i34]Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova:
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix. CoRR abs/2301.06443 (2023) - [i33]Dingding Cai, Janne Heikkilä, Esa Rahtu:
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. CoRR abs/2302.07300 (2023) - 2022
- [j29]Matteo Pedone
, Abdelrahman Mostafa, Janne Heikkilä:
Learning-Based Non-rigid Video Depth Estimation Using Invariants to Generalized Bas-Relief Transformations. J. Math. Imaging Vis. 64(9): 993-1009 (2022) - [c141]Dingding Cai, Janne Heikkilä, Esa Rahtu:
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. 3DV 2022: 536-546 - [c140]Ahmed Alhawwary, Janne Mustaniemi, Janne Heikkilä:
PatchFlow: A Two-Stage Patch-Based Approach for Lightweight Optical Flow Estimation. ACCV (7) 2022: 535-551 - [c139]Dingding Cai, Janne Heikkilä, Esa Rahtu:
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CVPR 2022: 6793-6803 - [c138]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR 2022: 21044-21053 - [c137]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CVPR 2022: 21075-21083 - [c136]Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung:
Free-Viewpoint RGB-D Human Performance Capture and Rendering. ECCV (16) 2022: 473-491 - [c135]Nadir Bengana, Janne Mustaniemi, Janne Heikkilä:
Seeking Attention: Using Full Context Transformers for Better Disparity Estimation. ICPRAI (1) 2022: 398-409 - [c134]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. WACV 2022: 326-336 - [i32]Dingding Cai, Janne Heikkilä, Esa Rahtu:
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CoRR abs/2203.01072 (2022) - [i31]Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Fast Neural Architecture Search for Lightweight Dense Prediction Networks. CoRR abs/2203.01994 (2022) - [i30]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CoRR abs/2203.14438 (2022) - [i29]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR abs/2203.16062 (2022) - [i28]Dingding Cai, Janne Heikkilä, Esa Rahtu:
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. CoRR abs/2208.02129 (2022) - [i27]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
HRF-Net: Holistic Radiance Fields from Sparse Inputs. CoRR abs/2208.04717 (2022) - [i26]Snehal Bhayani, Viktor Larsson, Torsten Sattler, Janne Heikkilä, Zuzana Kukelova:
Partially calibrated semi-generalized pose from hybrid point correspondences. CoRR abs/2209.15072 (2022) - 2021
- [j28]Nadir Bengana, Janne Heikkilä:
Improving Land Cover Segmentation Across Satellites Using Domain Adaptation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1399-1410 (2021) - [c133]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. 3DV 2021: 228-238 - [c132]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. 3DV 2021: 1095-1105 - [c131]Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova:
Calibrated and Partially Calibrated Semi-Generalized Homographies. ICCV 2021: 5916-5925 - [c130]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. ICCV 2021: 12747-12756 - [i25]Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova:
Calibrated and Partially Calibrated Semi-Generalized Homographies. CoRR abs/2103.06535 (2021) - [i24]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. CoRR abs/2108.11098 (2021) - [i23]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. CoRR abs/2108.11105 (2021) - [i22]Phong Nguyen, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung:
Human View Synthesis using a Single Sparse RGB-D Input. CoRR abs/2112.13889 (2021) - 2020
- [c129]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential View Synthesis with Transformer. ACCV (4) 2020: 695-711 - [c128]Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. BMVC 2020 - [c127]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. BMVC 2020 - [c126]Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
A Sparse Resultant Based Method for Efficient Minimal Solvers. CVPR 2020: 1767-1776 - [c125]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. ECCV (26) 2020: 581-597 - [c124]Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
Computing stable resultant-based minimal solvers by hiding a variable. ICPR 2020: 6104-6111 - [c123]Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä:
Learning non-rigid surface reconstruction from spatia-temporal image patches. ICPR 2020: 10134-10140 - [i21]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. CoRR abs/2004.02760 (2020) - [i20]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential Neural Rendering with Transformer. CoRR abs/2004.04548 (2020) - [i19]Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä:
Learning non-rigid surface reconstruction from spatio-temporal image patches. CoRR abs/2006.10841 (2020) - [i18]Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
Computing stable resultant-based minimal solvers by hiding a variable. CoRR abs/2007.10100 (2020) - [i17]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. CoRR abs/2009.00325 (2020) - [i16]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR abs/2011.14398 (2020) - [i15]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. CoRR abs/2012.10296 (2020)
2010 – 2019
- 2019
- [j27]Liang Wu, Qian Xu, Janne Heikkilä, Zijun Zhao, Liwei Liu, Yali Niu:
A Star Sensor On-Orbit Calibration Method Based on Singular Value Decomposition. Sensors 19(15): 3301 (2019) - [j26]Zalan Rajna, Lauri Raitamaa, Timo Tuovinen, Janne Heikkilä, Vesa Kiviniemi, Tapio Seppänen:
3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain. IEEE Trans. Medical Imaging 38(9): 2028-2036 (2019) - [j25]Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkilä, Wenming Zheng:
Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding. IEEE Trans. Multim. 21(7): 1694-1708 (2019) - [c122]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CVPR 2019: 7596-7604 - [c121]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Predicting Novel Views Using Generative Adversarial Query Network. SCIA 2019: 16-27 - [c120]Sercan Türkmen, Janne Heikkilä:
An Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions. SCIA 2019: 41-53 - [c119]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Gyroscope-Aided Motion Deblurring with Deep Networks. WACV 2019: 1914-1922 - [i14]Sercan Türkmen, Janne Heikkilä:
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions. CoRR abs/1902.07476 (2019) - [i13]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CoRR abs/1903.11328 (2019) - [i12]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Predicting Novel Views Using Generative Adversarial Query Network. CoRR abs/1904.05124 (2019) - [i11]Nadir Bengana, Janne Heikkilä:
Improving land cover segmentation across satellites using domain adaptation. CoRR abs/1912.05000 (2019) - [i10]Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
A sparse resultant based method for efficient minimal solvers. CoRR abs/1912.10268 (2019) - 2018
- [j24]Xiaochao Zhao, Yaping Lin, Janne Heikkilä:
Dynamic Texture Recognition Using Volume Local Binary Count Patterns With an Application to 2D Face Spoofing Detection. IEEE Trans. Multim. 20(3): 552-566 (2018) - [c118]Markus Ylimäki, Janne Heikkilä, Juho Kannala:
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. ICPR 2018: 1977-1982 - [c117]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. ICPR 2018: 3068-3073 - [c116]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. COMPAY/OMIA@MICCAI 2018: 69-77 - [i9]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. CoRR abs/1804.08912 (2018) - [i8]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. CoRR abs/1805.08542 (2018) - [i7]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR abs/1807.11677 (2018) - [i6]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. CoRR abs/1810.00986 (2018) - [i5]Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. CoRR abs/1811.09485 (2018) - 2017
- [j23]Lei Xie, Janne Heikkilä, Bo Li:
Media computing and applications for immersive communications: recent advances. J. Ambient Intell. Humaniz. Comput. 8(6): 827-828 (2017) - [c115]Janne Heikkilä:
Using Sparse Elimination for Solving Minimal Problems in Computer Vision. ICCV 2017: 76-84 - [c114]Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Janne Heikkilä:
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks. ICCV Workshops 2017: 64-71 - [c113]Xiaochao Zhao, Yaping Lin, Janne Heikkilä:
Dynamic texture recognition using multiscale PCA-learned filters. ICIP 2017: 4152-4156 - [c112]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-based scale estimation for structure from motion on mobile devices. IROS 2017: 4394-4401 - [c111]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras. SCIA (1) 2017: 122-134 - [i4]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Tracking via Proposal Generation and Selection. CoRR abs/1705.03386 (2017) - 2016
- [j22]Lei Xie, Longbiao Wang, Janne Heikkilä, Peng Zhang:
Guest Editorial: Immersive Audio/Visual Systems. Multim. Tools Appl. 75(9): 5047-5053 (2016) - [j21]Anja Keskinarkaus, Sami Huttunen, Antti Siipo, Jukka Holappa, Magda Laszlo, Ilkka Juuso, Eero Väyrynen, Janne Heikkilä, Matti Lehtihalmes, Tapio Seppänen, Seppo J. Laukka:
MORE - a multimodal observation and analysis system for social interaction research. Multim. Tools Appl. 75(11): 6321-6345 (2016) - [j20]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Parallax correction via disparity estimation in a multi-aperture camera. Mach. Vis. Appl. 27(8): 1313-1323 (2016) - [c110]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization Using Deep Semantic Features. ACCV (5) 2016: 361-377 - [c109]Neslihan Bayramoglu, Janne Heikkilä:
Transfer Learning for Cell Nuclei Classification in Histopathology Images. ECCV Workshops (3) 2016: 532-539 - [c108]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. ECCV Workshops (1) 2016: 651-667 - [c107]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell proposal network for microscopy image analysis. ICIP 2016: 3199-3203 - [c106]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Deep learning for magnification independent breast cancer histopathology image classification. ICPR 2016: 2440-2445 - [c105]K. K. Srikrishna Bhat, Utpala Musti, Janne Heikkilä:
Geometry based exhaustive line correspondence determination. ICRA 2016: 4341-4348 - [c104]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Joint cell segmentation and tracking using cell proposals. ISBI 2016: 920-924 - [c103]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Segmentation Proposal Network for Microscopy Image Analysis. LABELS/DLMIA@MICCAI 2016: 21-29 - [c102]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Forget the checkerboard: Practical self-calibration using a planar scene. WACV 2016: 1-9 - [i3]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. CoRR abs/1608.02367 (2016) - [i2]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization using Deep Semantic Features. CoRR abs/1609.08758 (2016) - [i1]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices. CoRR abs/1611.09498 (2016) - 2015
- [j19]Markus Ylimäki, Juho Kannala, Jukka Holappa, Sami S. Brandt, Janne Heikkilä:
Fast and accurate multi-view reconstruction by multi-stage prioritised matching. IET Comput. Vis. 9(4): 576-587 (2015) - [j18]Matteo Pedone, Eduardo Bayro-Corrochano, Jan Flusser, Janne Heikkilä:
Quaternion Wiener Deconvolution for Noise Robust Color Image Registration. IEEE Signal Process. Lett. 22(9): 1278-1282 (2015) - [j17]Matteo Pedone, Jan Flusser, Janne Heikkilä:
Registration of Images With N-Fold Dihedral Blur. IEEE Trans. Image Process. 24(3): 1036-1045 (2015) - [c101]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Human Epithelial Type 2 cell classification with convolutional neural networks. BIBE 2015: 1-6 - [c100]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Disparity Estimation for Image Fusion in a Multi-aperture Camera. CAIP (2) 2015: 158-170 - [c99]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Optimizing the Accuracy and Compactness of Multi-view Reconstructions. CAIP (2) 2015: 171-183 - [c98]Neslihan Bayramoglu, Juho Kannala, Malin Akerfelt, Mika Kaakinen, Lauri Eklund, Matthias Nees, Janne Heikkilä:
A novel feature descriptor based on microscopy image statistics. ICIP 2015: 2695-2699 - [c97]Takafumi Taketomi, Janne Heikkilä:
Focal length change compensation for monocular slam. ICIP 2015: 4982-4986 - [c96]K. K. Srikrishna Bhat, Juho Kannala, Janne Heikkilä:
3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB. SCIA 2015: 79-91 - [c95]Takafumi Taketomi, Janne Heikkilä:
Zoom factor compensation for monocular SLAM. VR 2015: 293-294 - 2014
- [c94]K. K. Srikrishna Bhat, Janne Heikkilä:
Line Matching and Pose Estimation for Unconstrained Model-to-Image Alignment. 3DV 2014: 155-162 - [c93]Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkilä:
DT-SLAM: Deferred Triangulation for Robust SLAM. 3DV 2014: 609-616 - [c92]Saad Ullah Akram, Juho Kannala, Mika Kaakinen, Lauri Eklund, Janne Heikkilä:
Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach. ACCV (3) 2014: 300-314 - [c91]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience. ECCV Workshops (2) 2014: 124-134 - [c90]Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Malin Akerfelt, Matthias Nees, Juho Kannala, Janne Heikkilä:
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach. ICPR 2014: 3345-3350 - [c89]Hamed Rezazadegan Tavakoli, Victoria Yanulevskaya, Esa Rahtu, Janne Heikkilä, Nicu Sebe:
Emotional Valence Recognition, Analysis of Salience and Eye Movements. ICPR 2014: 4666-4671 - 2013
- [j16]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Stochastic bottom-up fixation prediction and saccade generation. Image Vis. Comput. 31(9): 686-693 (2013) - [j15]Matteo Pedone, Jan Flusser, Janne Heikkilä:
Blur Invariant Translational Image Registration for N -fold Symmetric Blurs. IEEE Trans. Image Process. 22(9): 3676-3689 (2013) - [c88]Daniel Herrera C., Juho Kannala, Peter F. Sturm, Janne Heikkilä:
A Learned Joint Depth and Intensity Prior Using Markov Random Fields. 3DV 2013: 17-24 - [c87]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. ACIVS 2013: 695-704 - [c86]Yan Zhai, Guoying Zhao, Toni Alatalo, Janne Heikkilä, Timo Ojala, Xinyuan Huang:
Gesture interaction for wall-sized touchscreen display. UbiComp (Adjunct Publication) 2013: 175-178 - [c85]Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä:
Depth Map Inpainting under a Second-Order Smoothness Prior. SCIA 2013: 555-566 - [c84]Tomi Kyöstilä, Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Merging Overlapping Depth Maps into a Nonredundant Point Cloud. SCIA 2013: 567-578 - [c83]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Saliency Detection Using Joint Temporal and Spatial Decorrelation. SCIA 2013: 707-717 - [c82]Pekka Sangi, Jari Hannuksela, Janne Heikkilä, Olli Silvén:
Sparse Motion Segmentation using Propagation of Feature Labels. VISAPP (2) 2013: 396-401 - [p2]Janne Heikkilä, Esa Rahtu, Ville Ojansivu:
Local Phase Quantization for Blur Insensitive Texture Description. Local Binary Patterns 2013: 49-84 - 2012
- [j14]Esa Rahtu, Janne Heikkilä, Ville Ojansivu, Timo Ahonen:
Local phase quantization for blur-insensitive image analysis. Image Vis. Comput. 30(8): 501-512 (2012) - [j13]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Joint Depth and Color Camera Calibration with Distortion Correction. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 2058-2064 (2012) - [c81]Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä:
Temporal Saliency for Fast Motion Detection. ACCV Workshops (1) 2012: 321-326 - [c80]Neslihan Bayramoglu, Janne Heikkilä, Matti Pietikäinen:
Combining Textural and Geometrical Descriptors for Scene Recognition. ECCV Workshops (2) 2012: 32-41 - [c79]Matteo Pedone, Janne Heikkilä:
Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures. ICPR 2012: 2476-2479 - [c78]