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2020 – today
- 2020
[c94]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- [c93]Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala:
Hierarchical Scene Coordinate Classification and Regression for Visual Localization. CVPR 2020: 11980-11989 - [c92]Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
:
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers 2020: 23:1-23:5 - [c91]Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. NeurIPS 2020 - [c90]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. WACV 2020: 2694-2702 - [c89]Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV 2020: 3109-3118 - [c88]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. WACV 2020: 3374-3383 - [c87]Jacopo Bufalino, Maria L. Montoya Freire, Juho Kannala, Mario Di Francesco:
MAMBA: Adaptive and Bi-directional Data Transfer for Reliable Camera-display Communication. WoWMoM 2020: 307-316 - [i57]Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. CoRR abs/2005.10298 (2020) - [i56]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. CoRR abs/2006.02158 (2020) - [i55]Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. CoRR abs/2007.05299 (2020) - [i54]Ari Viitala, Rinu Boney, Juho Kannala:
Learning to Drive Small Scale Cars from Scratch. CoRR abs/2008.00715 (2020) - [i53]Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov:
Image Stylization for Robust Features. CoRR abs/2008.06959 (2020) - [i52]Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. CoRR abs/2010.00347 (2020) - [i51]Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin:
Movement-induced Priors for Deep Stereo. CoRR abs/2010.09105 (2020) - [i50]Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala:
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. CoRR abs/2011.03085 (2020) - [i49]Soumya Tripathy, Juho Kannala, Esa Rahtu:
FACEGAN: Facial Attribute Controllable rEenactment GAN. CoRR abs/2011.04439 (2020) - [i48]Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR abs/2012.12186 (2020)
2010 – 2019
- 2019
- [c86]Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. AISec@CCS 2019: 95-103 - [c85]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRL 2019: 182-191 - [c84]Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION 2019: 1-8 - [c83]Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. ICCV 2019: 2651-2660 - [c82]Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-supervised Learning. IJCAI 2019: 3635-3641 - [c81]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. IJCNN 2019: 1-7 - [c80]Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. ISBI 2019: 208-212 - [c79]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS 2019: 2855-2865 - [c78]Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala:
CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis. SCIA 2019: 28-40 - [c77]Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. SCIA 2019: 54-66 - [c76]Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. WACV 2019: 273-282 - [c75]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. WACV 2019: 1034-1042 - [c74]Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. WACV 2019: 1061-1069 - [c73]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Gyroscope-Aided Motion Deblurring with Deep Networks. WACV 2019: 1914-1922 - [i47]Zakaria Laskar, Juho Kannala:
Semi-Supervised Semantic Matching. CoRR abs/1901.08339 (2019) - [i46]Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. CoRR abs/1901.08341 (2019) - [i45]Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-net Ensembled for Nuclei Segmentation. CoRR abs/1901.10170 (2019) - [i44]Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. CoRR abs/1902.02166 (2019) - [i43]Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-Supervised Learning. CoRR abs/1903.03825 (2019) - [i42]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR abs/1903.11981 (2019) - [i41]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. CoRR abs/1904.01909 (2019) - [i40]Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala:
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis. CoRR abs/1904.01920 (2019) - [i39]Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper into Egocentric Gaze Prediction. CoRR abs/1904.06090 (2019) - [i38]Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. CoRR abs/1904.06145 (2019) - [i37]Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. CoRR abs/1904.06397 (2019) - [i36]Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala:
Geometric Image Correspondence Verification by Dense Pixel Matching. CoRR abs/1904.06882 (2019) - [i35]Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala:
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. CoRR abs/1905.10693 (2019) - [i34]Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. CoRR abs/1906.00360 (2019) - [i33]Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. CoRR abs/1906.06784 (2019) - [i32]Xiaotian Li, Jakob Verbeek, Juho Kannala:
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. CoRR abs/1909.06216 (2019) - [i31]Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR abs/1909.11715 (2019) - [i30]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRR abs/1910.05527 (2019) - [i29]Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. CoRR abs/1912.10321 (2019) - 2018
- [c72]Ari Heljakka, Arno Solin, Juho Kannala:
Pioneer Networks: Progressively Growing Generative Autoencoder. ACCV (1) 2018: 22-38 - [c71]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. ACCV (2) 2018: 51-66 - [c70]Ari Heljakka, Arno Solin, Juho Kannala:
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. ACIVS 2018: 309-320 - [c69]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. AIST 2018: 141-152 - [c68]Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. ECCV Workshops (3) 2018: 229-245 - [c67]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. ECCV (10) 2018: 425-440 - [c66]Zakaria Laskar, Juho Kannala:
Semi-supervised Semantic Matching. ECCV Workshops (3) 2018: 444-455 - [c65]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. ECCV Workshops (6) 2018: 673-677 - [c64]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. FUSION 2018: 1-5 - [c63]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. FUSION 2018: 772-779 - [c62]Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala:
Bottom-Up Attention Guidance for Recurrent Image Recognition. ICIP 2018: 3004-3008 - [c61]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 - [c60]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 - [c59]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 - [c58]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. MLSP 2018: 1-6 - [c57]Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. Robotics: Science and Systems 2018 - [c56]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation with Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2018: 335-342 - [c55]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. WACV 2018: 616-625 - [i28]Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. CoRR abs/1802.03237 (2018) - [i27]Ari Heljakka, Arno Solin, Juho Kannala:
Recursive Chaining of Reversible Image-to-image Translators For Face Aging. CoRR abs/1802.05023 (2018) - [i26]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. CoRR abs/1802.07351 (2018) - [i25]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) - [i24]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning image-to-image translation using paired and unpaired training samples. CoRR abs/1805.03189 (2018) - [i23]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) - [i22]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. CoRR abs/1805.12506 (2018) - [i21]Ari Heljakka, Arno Solin, Juho Kannala:
Pioneer Networks: Progressively Growing Generative Autoencoder. CoRR abs/1807.03026 (2018) - [i20]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. CoRR abs/1807.07741 (2018) - [i19]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An authentic dataset for visual-inertial odometry. CoRR abs/1807.09828 (2018) - [i18]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) - [i17]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones. CoRR abs/1808.03485 (2018) - [i16]Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. CoRR abs/1808.04999 (2018) - [i15]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. CoRR abs/1810.00986 (2018) - [i14]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. CoRR abs/1810.08393 (2018) - [i13]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
- [c54]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Relative Camera Pose Estimation Using Convolutional Neural Networks. ACIVS 2017: 675-687 - [c53]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-Based Localization Using Hourglass Networks. ICCV Workshops 2017: 870-877 - [c52]Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala:
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. ICCV Workshops 2017: 920-929 - [c51]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 - [c50]Zakaria Laskar, Juho Kannala:
Context Aware Query Image Representation for Particular Object Retrieval. SCIA (2) 2017: 88-99 - [c49]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras. SCIA (1) 2017: 122-134 - [i12]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Relative Camera Pose Estimation Using Convolutional Neural Networks. CoRR abs/1702.01381 (2017) - [i11]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. CoRR abs/1703.00154 (2017) - [i10]Zakaria Laskar, Juho Kannala:
Context Aware Query Image Representation for Particular Object Retrieval. CoRR abs/1703.01226 (2017) - [i9]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-based Localization using Hourglass Networks. CoRR abs/1703.07971 (2017) - [i8]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Tracking via Proposal Generation and Selection. CoRR abs/1705.03386 (2017) - [i7]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. CoRR abs/1705.05665 (2017) - [i6]Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala:
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. CoRR abs/1707.09733 (2017) - [i5]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. CoRR abs/1708.00894 (2017) - [i4]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. CoRR abs/1710.11359 (2017) - 2016
- [j5]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Parallax correction via disparity estimation in a multi-aperture camera. Mach. Vis. Appl. 27(8): 1313-1323 (2016) - [c48]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. ACCV Workshops (3) 2016: 638-653 - [c47]Zakaria Laskar, Sami Huttunen, Daniel Herrera C., Esa Rahtu, Juho Kannala:
Robust loop closures for scene reconstruction by combining odometry and visual correspondences. ICIP 2016: 2603-2607 - [c46]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell proposal network for microscopy image analysis. ICIP 2016: 3199-3203 - [c45]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Siamese network features for image matching. ICPR 2016: 378-383 - [c44]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Deep learning for magnification independent breast cancer histopathology image classification. ICPR 2016: 2440-2445 - [c43]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Joint cell segmentation and tracking using cell proposals. ISBI 2016: 920-924 - [c42]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Segmentation Proposal Network for Microscopy Image Analysis. LABELS/DLMIA@MICCAI 2016: 21-29 - [c41]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Forget the checkerboard: Practical self-calibration using a planar scene. WACV 2016: 1-9 - [i3]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation from Video with Convolutional Neural Networks. CoRR abs/1609.07420 (2016) - [i2]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
- [j4]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) - [c40]Marko Linna, Juho Kannala, Esa Rahtu:
Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. ACIVS 2015: 403-414 - [c39]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Human Epithelial Type 2 cell classification with convolutional neural networks. BIBE 2015: 1-6 - [c38]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Disparity Estimation for Image Fusion in a Multi-aperture Camera. CAIP (2) 2015: 158-170 - [c37]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Optimizing the Accuracy and Compactness of Multi-view Reconstructions. CAIP (2) 2015: 171-183 - [c36]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Unsupervised learning of overcomplete face descriptors. CVPR Workshops 2015: 75-83 - [c35]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 - [c34]Simo Särkkä, Ville Tolvanen, Juho Kannala, Esa Rahtu:
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. IPIN 2015: 1-7 - [c33]K. K. Srikrishna Bhat, Juho Kannala, Janne Heikkilä:
3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB. SCIA 2015: 79-91 - [c32]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Face Recognition Using Smoothed High-Dimensional Representation. SCIA 2015: 516-529 - 2014
- [c31]Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkilä:
DT-SLAM: Deferred Triangulation for Robust SLAM. 3DV 2014: 609-616 - [c30]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 - [c29]Pekka Rantalankila, Juho Kannala, Esa Rahtu:
Generating Object Segmentation Proposals Using Global and Local Search. CVPR 2014: 2417-2424 - [c28]Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c27]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 - [c26]