
Juho Kannala
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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]