A Generic Camera Calibration Method for Fish-Eye Lenses. - Juho Kannala; Sami S. Brandt (ICPR (1), 2004)

Affine registration with multi-scale autoconvolution. - Juho Kannala; Esa Rahtu; Janne Heikkilä (ICIP (3), 2005)

Measuring the Shape of Sewer Pipes from Video. - Juho Kannala; Sami S. Brandt (MVA, 2005)

A New Method for Affine Registration of Images and Point Sets. - Juho Kannala; Esa Rahtu; Janne Heikkilä; Mikko Salo (SCIA, 2005)

Algorithms for Computing a Planar Homography from Conics in Correspondence. - Juho Kannala; Mikko Salo; Janne Heikkilä (BMVC, 2006)

Object Localization by Subspace Clustering of Local Descriptors. - Charles Bouveyron; Juho Kannala; Cordelia Schmid; Stéphane Girard (ICVGIP, 2006)

A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses. - Juho Kannala; Sami S. Brandt (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Quasi-Dense Wide Baseline Matching Using Match Propagation. - Juho Kannala; Sami S. Brandt (CVPR, 2007)

Object recognition and segmentation by non-rigid quasi-dense matching. - Juho Kannala; Esa Rahtu; Sami S. Brandt; Janne Heikkilä (CVPR, 2008)

Self-Calibration of Central Cameras by Minimizing Angular Error. - Juho Kannala; Sami S. Brandt; Janne Heikkilä (VISAPP (1), 2008)

Self-calibration of Central Cameras from Point Correspondences by Minimizing Angular Error. - Juho Kannala; Sami S. Brandt; Janne Heikkilä (VISIGRAPP (Selected Papers), 2008)

Measuring and modelling sewer pipes from video. - Juho Kannala; Sami S. Brandt; Janne Heikkilä (Mach. Vis. Appl., 2008)

Geometric Camera Calibration. - Juho Kannala; Janne Heikkilä; Sami S. Brandt (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Uncalibrated non-rigid factorisation with automatic shape basis selection. - Sami S. Brandt; Pekka Koskenkorva; Juho Kannala; Anders Heyden (ICCV Workshops, 2009)

Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy. - Esa Rahtu; Jarno Nikkanen; Juho Kannala; Leena Lepistö; Janne Heikkilä (ICIAP, 2009)

Dense and Deformable Motion Segmentation for Wide Baseline Images. - Juho Kannala; Esa Rahtu; Sami S. Brandt; Janne Heikkilä (SCIA, 2009)

Segmenting Salient Objects from Images and Videos. - Esa Rahtu; Juho Kannala; Mikko Salo; Janne Heikkilä (ECCV (5), 2010)

Quasi-dense Wide Baseline Matching for Three Views. - Pekka Koskenkorva; Juho Kannala; Sami S. Brandt (ICPR, 2010)

Models and methods for geometric computer vision. - Juho Kannala (2010)

Accurate and Practical Calibration of a Depth and Color Camera Pair. - Daniel Herrera C.; Juho Kannala; Janne Heikkilä (CAIP (2), 2011)

Learning a category independent object detection cascade. - Esa Rahtu; Juho Kannala; Matthew B. Blaschko (ICCV, 2011)

Multi-view Alpha Matte for Free Viewpoint Rendering. - Daniel Herrera C.; Juho Kannala; Janne Heikkilä (MIRAGE, 2011)

A general model and calibration method for spherical stereoscopic vision. - Weijia Feng; Juha Röning; Juho Kannala; Xiaoning Zong; Baofeng Zhang (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2012)

BSIF: Binarized statistical image features. - Juho Kannala; Esa Rahtu (ICPR, 2012)

Robust and accurate multi-view reconstruction by prioritized matching. - Markus Ylimäki; Juho Kannala; Jukka Holappa; Janne Heikkilä; Sami S. Brandt (ICPR, 2012)

Joint Depth and Color Camera Calibration with Distortion Correction. - Daniel Herrera C.; Juho Kannala; Janne Heikkilä (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Learned Joint Depth and Intensity Prior Using Markov Random Fields. - Daniel Herrera C.; Juho Kannala; Peter F. Sturm; Janne Heikkilä (3DV, 2013)

Non Maximal Suppression in Cascaded Ranking Models. - Matthew B. Blaschko; Juho Kannala; Esa Rahtu (SCIA, 2013)

Depth Map Inpainting under a Second-Order Smoothness Prior. - Daniel Herrera C.; Juho Kannala; Lubor Ladicky; Janne Heikkilä (SCIA, 2013)

Merging Overlapping Depth Maps into a Nonredundant Point Cloud. - Tomi Kyöstilä; Daniel Herrera C.; Juho Kannala; Janne Heikkilä (SCIA, 2013)

Fine-Grained Visual Classification of Aircraft. - Subhransu Maji; Esa Rahtu; Juho Kannala; Matthew B. Blaschko; Andrea Vedaldi (CoRR, 2013)

DT-SLAM: Deferred Triangulation for Robust SLAM. - Daniel Herrera C.; Kihwan Kim; Juho Kannala; Kari Pulli; Janne Heikkilä (3DV, 2014)

Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach. - Saad Ullah Akram; Juho Kannala; Mika Kaakinen; Lauri Eklund; Janne Heikkilä (ACCV (3), 2014)

Generating Object Segmentation Proposals Using Global and Local Search. - Pekka Rantalankila; Juho Kannala; Esa Rahtu (CVPR, 2014)

Understanding Objects in Detail with Fine-Grained Attributes. - 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; et al. (CVPR, 2014)

Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach. - Neslihan Bayramoglu; Mika Kaakinen; Lauri Eklund; Malin Akerfelt; Matthias Nees; Juho Kannala; Janne Heikkilä (ICPR, 2014)

An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition. - Juha Ylioinas; Abdenour Hadid; Juho Kannala; Matti Pietikäinen (ICPR, 2014)

Learning local image descriptors using binary decision trees. - Juha Ylioinas; Juho Kannala; Abdenour Hadid; Matti Pietikäinen (WACV, 2014)

Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. - Marko Linna; Juho Kannala; Esa Rahtu (ACIVS, 2015)

Human Epithelial Type 2 cell classification with convolutional neural networks. - Neslihan Bayramoglu; Juho Kannala; Janne Heikkilä (BIBE, 2015)

Disparity Estimation for Image Fusion in a Multi-aperture Camera. - Janne Mustaniemi; Juho Kannala; Janne Heikkilä (CAIP (2), 2015)

Optimizing the Accuracy and Compactness of Multi-view Reconstructions. - Markus Ylimäki; Juho Kannala; Janne Heikkilä (CAIP (2), 2015)

Unsupervised learning of overcomplete face descriptors. - Juha Ylioinas; Juho Kannala; Abdenour Hadid; Matti Pietikäinen (CVPR Workshops, 2015)

A novel feature descriptor based on microscopy image statistics. - Neslihan Bayramoglu; Juho Kannala; Malin Akerfelt; Mika Kaakinen; Lauri Eklund; Matthias Nees; Janne Heikkilä (ICIP, 2015)

Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. - Simo Särkkä; Ville Tolvanen; Juho Kannala; Esa Rahtu (IPIN, 2015)

3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB. - K. K. Srikrishna Bhat; Juho Kannala; Janne Heikkilä (SCIA, 2015)

Face Recognition Using Smoothed High-Dimensional Representation. - Juha Ylioinas; Juho Kannala; Abdenour Hadid; Matti Pietikäinen (SCIA, 2015)

Fast and accurate multi-view reconstruction by multi-stage prioritised matching. - Markus Ylimäki; Juho Kannala; Jukka Holappa; Sami S. Brandt; Janne Heikkilä (IET Comput. Vis., 2015)

Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (ACCV Workshops (3), 2016)

Cell proposal network for microscopy image analysis. - Saad Ullah Akram; Juho Kannala; Lauri Eklund; Janne Heikkilä (ICIP, 2016)

Robust loop closures for scene reconstruction by combining odometry and visual correspondences. - Zakaria Laskar; Sami Huttunen; Daniel Herrera C.; Esa Rahtu; Juho Kannala (ICIP, 2016)

Deep learning for magnification independent breast cancer histopathology image classification. - Neslihan Bayramoglu; Juho Kannala; Janne Heikkilä (ICPR, 2016)

Siamese network features for image matching. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (ICPR, 2016)

Joint cell segmentation and tracking using cell proposals. - Saad Ullah Akram; Juho Kannala; Lauri Eklund; Janne Heikkilä (ISBI, 2016)

Cell Segmentation Proposal Network for Microscopy Image Analysis. - Saad Ullah Akram; Juho Kannala; Lauri Eklund; Janne Heikkilä (LABELS/DLMIA@MICCAI, 2016)

Forget the checkerboard: Practical self-calibration using a planar scene. - Daniel Herrera C.; Juho Kannala; Janne Heikkilä (WACV, 2016)

Real-time Human Pose Estimation from Video with Convolutional Neural Networks. - Marko Linna; Juho Kannala; Esa Rahtu (CoRR, 2016)

Parallax correction via disparity estimation in a multi-aperture camera. - Janne Mustaniemi; Juho Kannala; Janne Heikkilä (Mach. Vis. Appl., 2016)

Relative Camera Pose Estimation Using Convolutional Neural Networks. - Iaroslav Melekhov; Juha Ylioinas; Juho Kannala; Esa Rahtu (ACIVS, 2017)

Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. - Zakaria Laskar; Iaroslav Melekhov; Surya Kalia; Juho Kannala (ICCV Workshops, 2017)

Image-Based Localization Using Hourglass Networks. - Iaroslav Melekhov; Juha Ylioinas; Juho Kannala; Esa Rahtu (ICCV Workshops, 2017)

Inertial-based scale estimation for structure from motion on mobile devices. - Janne Mustaniemi; Juho Kannala; Simo Särkkä; Jiri Matas; Janne Heikkilä (IROS, 2017)

Context Aware Query Image Representation for Particular Object Retrieval. - Zakaria Laskar; Juho Kannala (SCIA (2), 2017)

Robust and Practical Depth Map Fusion for Time-of-Flight Cameras. - Markus Ylimäki; Juho Kannala; Janne Heikkilä (SCIA (1), 2017)

Cell Tracking via Proposal Generation and Selection. - Saad Ullah Akram; Juho Kannala; Lauri Eklund; Janne Heikkilä (CoRR, 2017)

Relative Camera Pose Estimation Using Convolutional Neural Networks. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (CoRR, 2017)

Pioneer Networks: Progressively Growing Generative Autoencoder. - Ari Heljakka; Arno Solin; Juho Kannala (ACCV (1), 2018)

Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. - Soumya Tripathy; Juho Kannala; Esa Rahtu (ACCV (2), 2018)

Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. - Ari Heljakka; Arno Solin; Juho Kannala (ACIVS, 2018)

Learning Representations for Soft Skill Matching. - Luiza Sayfullina; Eric Malmi; Juho Kannala (AIST, 2018)

Semi-supervised Semantic Matching. - Zakaria Laskar; Juho Kannala (ECCV Workshops (3), 2018)

Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. - Xiaotian Li; Juha Ylioinas; Jakob Verbeek; Juho Kannala (ECCV Workshops (3), 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (ECCV (10), 2018)

Robust Gyroscope-Aided Camera Self-Calibration. - Santiago Cortés Reina; Arno Solin; Juho Kannala (FUSION, 2018)

Inertial Odometry on Handheld Smartphones. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (FUSION, 2018)

Bottom-Up Attention Guidance for Recurrent Image Recognition. - Hamed R. Tavakoli; Ali Borji; Rao Muhammad Anwer; Esa Rahtu; Juho Kannala (ICIP, 2018)

Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. - Janne Mustaniemi; Juho Kannala; Simo Särkkä; Jiri Matas; Janne Heikkilä (ICPR, 2018)

Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. - Markus Ylimäki; Janne Heikkilä; Juho Kannala (ICPR, 2018)

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. - Saad Ullah Akram; Talha Qaiser; Simon Graham; Juho Kannala; Janne Heikkilä; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. - Santiago Cortés Reina; Arno Solin; Juho Kannala (MLSP, 2018)

Full-Frame Scene Coordinate Regression for Image-Based Localization. - Xiaotian Li; Juha Ylioinas; Juho Kannala (Robotics: Science and Systems, 2018)

Real-time Human Pose Estimation with Convolutional Neural Networks. - Marko Linna; Juho Kannala; Esa Rahtu (VISIGRAPP (5: VISAPP), 2018)

PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (WACV, 2018)

Inertial-aided Motion Deblurring with Deep Networks. - Janne Mustaniemi; Juho Kannala; Simo Särkkä; Jiri Matas; Janne Heikkilä (CoRR, 2018)

LSD2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. - Janne Mustaniemi; Juho Kannala; Jiri Matas; Simo Särkkä; Janne Heikkilä (CoRR, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. - Alex Lamb; Vikas Verma; Juho Kannala; Yoshua Bengio (AISec@CCS, 2019)

Regularizing Model-Based Planning with Energy-Based Models. - Rinu Boney; Juho Kannala; Alexander Ilin (CoRL, 2019)

Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. - Santiago Cortés Reina; Yuxin Hou; Juho Kannala; Arno Solin (FUSION, 2019)

Multi-View Stereo by Temporal Nonparametric Fusion. - Yuxin Hou; Juho Kannala; Arno Solin (ICCV, 2019)

Interpolation Consistency Training for Semi-supervised Learning. - Vikas Verma; Alex Lamb; Juho Kannala; Yoshua Bengio; David Lopez-Paz (IJCAI, 2019)

Learning Image Relations with Contrast Association Networks. - Yao Lu; Zhirong Yang; Juho Kannala; Samuel Kaski (IJCNN, 2019)

Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. - Aarno Oskar Vuola; Saad Ullah Akram; Juho Kannala (ISBI, 2019)

Regularizing Trajectory Optimization with Denoising Autoencoders. - Rinu Boney; Norman Di Palo; Mathias Berglund; Alexander Ilin; Juho Kannala; Antti Rasmus; Harri Valpola (NeurIPS, 2019)

Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. - Yuxin Hou; Arno Solin; Juho Kannala (SCIA, 2019)

CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis. - Ahti Kalervo; Juha Ylioinas; Markus Häikiö; Antti Karhu; Juho Kannala (SCIA, 2019)

Semantic Matching by Weakly Supervised 2D Point Set Registration. - Zakaria Laskar; Hamed Rezazadegan Tavakoli; Juho Kannala (WACV, 2019)

DGC-Net: Dense Geometric Correspondence Network. - Iaroslav Melekhov; Aleksei Tiulpin; Torsten Sattler; Marc Pollefeys; Esa Rahtu; Juho Kannala (WACV, 2019)

Gyroscope-Aided Motion Deblurring with Deep Networks. - Janne Mustaniemi; Juho Kannala; Simo Särkkä; Jiri Matas; Janne Heikkilä (WACV, 2019)

Digging Deeper Into Egocentric Gaze Prediction. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Juho Kannala; Ali Borji (WACV, 2019)

Geometric Image Correspondence Verification by Dense Pixel Matching. - Zakaria Laskar; Iaroslav Melekhov; Hamed R. Tavakoli; Juha Ylioinas; Juho Kannala (CoRR, 2019)

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. - Hamed R. Tavakoli; Ali Borji; Esa Rahtu; Juho Kannala (CoRR, 2019)

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. - Alex Lamb; Vikas Verma; Juho Kannala; Yoshua Bengio (CoRR, 2019)

Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. - Xiaotian Li; Jakob Verbeek; Juho Kannala (CoRR, 2019)

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. - Vikas Verma; Meng Qu; Alex Lamb; Yoshua Bengio; Juho Kannala; Jian Tang 005 (CoRR, 2019)

Data-Efficient Ranking Distillation for Image Retrieval. - Zakaria Laskar; Juho Kannala (ACCV (1), 2020)

LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. - Janne Mustaniemi; Juho Kannala; Jiri Matas; Simo Särkkä; Janne Heikkilä (BMVC, 2020)

Hierarchical Scene Coordinate Classification and Regression for Visual Localization. - Xiaotian Li; Shuzhe Wang; Yi Zhao 014; Jakob Verbeek; Juho Kannala (CVPR, 2020)

Deep Audio-Visual Saliency: Baseline Model and Data. - Hamed Rezazadegan Tavakoli; Ali Borji; Juho Kannala; Esa Rahtu (ETRA Short Papers, 2020)

Can You Trust Your Pose? Confidence Estimation in Visual Localization. - Luca Ferranti; Xiaotian Li; Jani Boutellier; Juho Kannala (ICPR, 2020)

Movement-induced Priors for Deep Stereo. - Yuxin Hou; Muhammad Kamran Janjua; Juho Kannala; Arno Solin (ICPR, 2020)

Deep Automodulators. - Ari Heljakka; Yuxin Hou; Juho Kannala; Arno Solin (NeurIPS, 2020)

Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. - Ari Heljakka; Arno Solin; Juho Kannala (WACV, 2020)

Devon: Deformable Volume Network for Learning Optical Flow. - Yao Lu; Jack Valmadre; Heng Wang; Juho Kannala; Mehrtash Harandi; Philip H. S. Torr (WACV, 2020)

ICface: Interpretable and Controllable Face Reenactment Using GANs. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2020)

MAMBA: Adaptive and Bi-directional Data Transfer for Reliable Camera-display Communication. - Jacopo Bufalino; Maria L. Montoya Freire; Juho Kannala; Mario Di Francesco (WoWMoM, 2020)

Learning to Drive Small Scale Cars from Scratch. - Ari Viitala; Rinu Boney; Juho Kannala (CoRR, 2020)

Image Stylization for Robust Features. - Iaroslav Melekhov; Gabriel J. Brostow; Juho Kannala; Daniyar Turmukhambetov (CoRR, 2020)

RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. - Rinu Boney; Jussi Sainio; Mikko Kaivola; Arno Solin; Juho Kannala (CoRR, 2020)

Digging Into Self-Supervised Learning of Feature Descriptors. - Iaroslav Melekhov; Zakaria Laskar; Xiaotian Li; Shuzhe Wang; Juho Kannala (3DV, 2021)

GraphMix: Improved Training of GNNs for Semi-Supervised Learning. - Vikas Verma; Meng Qu; Kenji Kawaguchi; Alex Lamb; Yoshua Bengio; Juho Kannala; Jian Tang 005 (AAAI, 2021)

Interpolation-Based Semi-Supervised Learning for Object Detection. - Jisoo Jeong; Vikas Verma; Minsung Hyun; Juho Kannala; Nojun Kwak (CVPR, 2021)

Homotopy Continuation for Sensor Networks Self-Calibration. - Luca Ferranti; Kalle Åström; Magnus Oskarsson; Jani Boutellier; Juho Kannala (EUSIPCO, 2021)

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. - Ari Viitala; Rinu Boney; Yi Zhao 014; Alexander Ilin; Juho Kannala (ICAR, 2021)

Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. - Luca Ferranti; Kalle Åström; Magnus Oskarsson; Jani Boutellier; Juho Kannala (ICASSP, 2021)

Continual Learning for Image-Based Camera Localization. - Shuzhe Wang; Zakaria Laskar; Iaroslav Melekhov; Xiaotian Li; Juho Kannala (ICCV, 2021)

Bridging the Gap Between Paired and Unpaired Medical Image Translation. - Pauliina Paavilainen; Saad Ullah Akram; Juho Kannala (DGM4MICCAI/DALI@MICCAI, 2021)

Novel View Synthesis via Depth-guided Skip Connections. - Yuxin Hou; Arno Solin; Juho Kannala (WACV, 2021)

FACEGAN: Facial Attribute Controllable rEenactment GAN. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2021)

End-to-End Learning of Keypoint Representations for Continuous Control from Images. - Rinu Boney; Alexander Ilin; Juho Kannala (CoRR, 2021)

Visual Localization via Few-Shot Scene Region Classification. - Siyan Dong; Shuzhe Wang; Yixin Zhuang; Juho Kannala; Marc Pollefeys; Baoquan Chen (3DV, 2022)

Uncertainty-Guided Source-Free Domain Adaptation. - Subhankar Roy; Martin Trapp 001; Andrea Pilzer; Juho Kannala; Nicu Sebe; Elisa Ricci 001; Arno Solin (ECCV (25), 2022)

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. - Yi Zhao 014; Rinu Boney; Alexander Ilin; Juho Kannala; Joni Pajarinen (ESANN, 2022)

Multiple Offsets Multilateration: A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes. - Luca Ferranti; Kalle Åström; Magnus Oskarsson; Jani Boutellier; Juho Kannala (ICASSP, 2022)

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. - Otto Seiskari; Pekka Rantalankila; Juho Kannala; Jerry Ylilammi; Esa Rahtu; Arno Solin (WACV, 2022)

Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2022)

Representational Multiplicity Should Be Exposed, Not Eliminated. - Ari Heljakka; Martin Trapp 001; Juho Kannala; Arno Solin (CoRR, 2022)

Continuous Monte Carlo Graph Search. - Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (CoRR, 2022)

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction. - Hao Dong 011; Xianjing Zhang; Xuan Jiang; Jun Zhang 051; Jintao Xu 001; Rui Ai 001; Weihao Gu; Huimin Lu 002; Juho Kannala; Xieyuanli Chen (CoRR, 2022)

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. - Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (CoRR, 2022)

Automated tip functionalization via machine learning in scanning probe microscopy. - Benjamin Alldritt; Fedor Urtev; Niko Oinonen; Markus Aapro; Juho Kannala; Peter Liljeroth; Adam S. Foster (Comput. Phys. Commun., 2022)

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. - Alex Lamb; Vikas Verma; Kenji Kawaguchi; Alexander Matyasko; Savya Khosla; Juho Kannala; Yoshua Bengio (Neural Networks, 2022)

Interpolation consistency training for semi-supervised learning. - Vikas Verma; Kenji Kawaguchi; Alex Lamb; Juho Kannala; Arno Solin; Yoshua Bengio; David Lopez-Paz (Neural Networks, 2022)

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. - Rinu Boney; Alexander Ilin; Juho Kannala; Jarno Seppänen (IEEE Trans. Games, 2022)

Guiding Local Feature Matching with Surface Curvature. - Shuzhe Wang; Juho Kannala; Marc Pollefeys; Daniel Barath (ICCV, 2023)

Simplified Temporal Consistency Reinforcement Learning. - Yi Zhao 014; Wenshuai Zhao; Rinu Boney; Juho Kannala; Joni Pajarinen (ICML, 2023)

TBPos: Dataset for Large-Scale Precision Visual Localization. - Masud An Nur Islam Fahim; Ilona Söchting; Luca Ferranti; Juho Kannala; Jani Boutellier (SCIA (1), 2023)

BS3D: Building-Scale 3D Reconstruction from RGB-D Images. - Janne Mustaniemi; Juho Kannala; Esa Rahtu; Li Liu 002; Janne Heikkilä (SCIA (2), 2023)

MixupE: Understanding and improving Mixup from directional derivative perspective. - Yingtian Zou; Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (UAI, 2023)

Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Andrea Pilzer; Yuxin Hou; Niki Andreas Lopi; Arno Solin; Juho Kannala (WACV, 2023)

DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. - Shuzhe Wang; Juho Kannala; Daniel Barath (CoRR, 2023)

Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (CoRR, 2023)

Continuous Monte Carlo Graph Search. - Kalle Kujanpää; Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (AAMAS, 2024)

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. - Maximilian Krahn; Michele Sasdelli; Frances Fengyi Yang; Vladislav Golyanik; Juho Kannala; Tat-Jun Chin; Tolga Birdal (BMVC, 2024)

Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization. - Zihan Wang; Shuzhe Wang; Matias Turkulainen; Junyuan Fang; Juho Kannala (BMVC, 2024)

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. - Yi Zhao 014; Le Chen; Jan Schneider 007; Quankai Gao; Juho Kannala; Bernhard Schölkopf; Joni Pajarinen; Dieter Büchler (CoRL, 2024)

DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. - Shuzhe Wang; Juho Kannala; Daniel Barath (CVPR, 2024)

Medical Image Segmentation with SAM-Generated Annotations. - Iira Häkkinen; Iaroslav Melekhov; Erik Englesson; Hossein Azizpour; Juho Kannala (ECCV Workshops (22), 2024)

Sources of Uncertainty in 3D Scene Reconstruction. - Marcus Klasson; Riccardo Mereu; Juho Kannala; Arno Solin (ECCV Workshops (17), 2024)

Efficient NeRF Optimization - Not All Samples Remain Equally Hard. - Juuso Korhonen; Rangu Goutham; Hamed R. Tavakoli; Juho Kannala (ECCV (36), 2024)

Differentiable Product Quantization for Memory Efficient Camera Relocalization. - Zakaria Laskar; Iaroslav Melekhov; Assia Benbihi; Shuzhe Wang; Juho Kannala (ECCV (85), 2024)

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. - Otto Seiskari; Jerry Ylilammi; Valtteri Kaatrasalo; Pekka Rantalankila; Matias Turkulainen; Juho Kannala; Esa Rahtu; Arno Solin (ECCV (71), 2024)

Optimistic Multi-Agent Policy Gradient. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (ICML, 2024)

Dense Road Surface Grip Map Prediction from Multimodal Image Data. - Jyri Maanpää; Julius Pesonen; Heikki Hyyti; Iaroslav Melekhov; Juho Kannala; Petri Manninen; Antero Kukko; Juha Hyyppä (ICPR (17), 2024)

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation. - Hao Dong 011; Weihao Gu; Xianjing Zhang; Jintao Xu 001; Rui Ai 001; Huimin Lu 002; Juho Kannala; Xieyuanli Chen (ICRA, 2024)

MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. - Xuqian Ren; Wenjia Wang; Dingding Cai; Tuuli Tuominen; Juho Kannala; Esa Rahtu (WACV, 2024)

Grouped Discrete Representation for Object-Centric Learning. - Rongzhen Zhao; Vivienne Wang; Juho Kannala; Joni Pajarinen (CoRR, 2024)

HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer. - Shuzhe Wang; Zakaria Laskar; Iaroslav Melekhov; Xiaotian Li; Yi Zhao 014; Giorgos Tolias; Juho Kannala (Int. J. Comput. Vis., 2024)

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones. - Xuqian Ren; Matias Turkulainen; Jiepeng Wang 001; Otto Seiskari; Iaroslav Melekhov; Juho Kannala; Esa Rahtu (3DV, 2025)

A2-GNN: Angle-Annular GNN for Visual Descriptor-Free Camera Relocalization. - Yejun Zhang; Shuzhe Wang; Juho Kannala (3DV, 2025)

Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization. - Siyan Dong; Shuzhe Wang; Shaohui Liu; Lulu Cai; Qingnan Fan; Juho Kannala; Yanchao Yang 001 (CVPR, 2025)

A Dataset for Semantic Segmentation in the Presence of Unknowns. - Zakaria Laskar; Tomas Vojir; Matej Grcic; Iaroslav Melekhov; Shankar Gangisetty; Juho Kannala; Jiri Matas; Giorgos Tolias; C. V. Jawahar (CVPR, 2025)

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. - Yihao Wang; Marcus Klasson; Matias Turkulainen; Shuzhe Wang; Juho Kannala; Arno Solin (CVPR, 2025)

Multi-Scale Fusion for Object Representation. - Rongzhen Zhao; Vivienne Huiling Wang; Juho Kannala; Joni Pajarinen (ICLR, 2025)

NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation. - Junyuan Fang; Zihan Wang; Yejun Zhang; Shuzhe Wang; Iaroslav Melekhov; Juho Kannala (SCIA (1), 2025)

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. - Ulas Gunes; Matias Turkulainen; Xuqian Ren; Arno Solin; Juho Kannala; Esa Rahtu (SCIA (2), 2025)

Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition. - Xuqian Ren; Juho Kannala; Esa Rahtu (SCIA (1), 2025)

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. - Matias Turkulainen; Xuqian Ren; Iaroslav Melekhov; Otto Seiskari; Esa Rahtu; Juho Kannala (WACV, 2025)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. - Hao Dong 011; Moru Liu; Kaiyang Zhou; Eleni N. Chatzi; Juho Kannala; Cyrill Stachniss; Olga Fink (CoRR, 2025)

Generalist World Model Pre-Training for Efficient Reinforcement Learning. - Yi Zhao 014; Aidan Scannell; Yuxin Hou; Tianyu Cui; Le Chen; Dieter Büchler; Arno Solin; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Vector-Quantized Vision Foundation Models for Object-Centric Learning. - Rongzhen Zhao; Vivienne Wang; Juho Kannala; Joni Pajarinen (CoRR, 2025)

FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition. - Yinfan Wang; Jie Gui; Baosheng Yu; Qi Li; Zhenan Sun; Juho Kannala; Guoying Zhao 001 (CoRR, 2025)

Slot Attention with Re-Initialization and Self-Distillation. - Rongzhen Zhao; Yi Zhao 014; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. - Rongzhen Zhao; Jian Li; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Smoothing Slot Attention Iterations and Recurrences. - Rongzhen Zhao; Wenyan Yang; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Evaluating Fisheye-Compatible 3D Gaussian Splatting Methods on Real Images Beyond 180 Degree Field of View. - Ulas Gunes; Matias Turkulainen; Juho Kannala; Esa Rahtu (CoRR, 2025)