Kannala, Juho

57 publications

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

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

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

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

ECML-PKDD 2025 Grouped Discrete Representation for Object-Centric Learning Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

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

CVPR 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

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

ECCV 2024 Differentiable Product Quantization for Memory Efficient Camera Relocalization Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala

ECCV 2024 Efficient NeRF Optimization - Not All Samples Remain Equally Hard Juuso Korhonen, Goutham Rangu, Hamed Rezazadegan Tavakoli, Juho Kannala

ECCV 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

ECCVW 2024 Medical Image Segmentation with SAM-Generated Annotations Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala

WACV 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

ICML 2024 Optimistic Multi-Agent Policy Gradient Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

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

ECCVW 2024 Sources of Uncertainty in 3D Scene Reconstruction Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin

WACV 2023 Expansion of Visual Hints for Improved Generalization in Stereo Matching Andrea Pilzer, Yuxin Hou, Niki Loppi, Arno Solin, Juho Kannala

ICCV 2023 Guiding Local Feature Matching with Surface Curvature Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath

UAI 2023 MixupE: Understanding and Improving Mixup from Directional Derivative Perspective Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi

ICML 2023 Simplified Temporal Consistency Reinforcement Learning Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

WACV 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

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

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

WACV 2021 FACEGAN: Facial Attribute Controllable rEenactment GAN Soumya Tripathy, Juho Kannala, Esa Rahtu

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

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

WACV 2021 Novel View Synthesis via Depth-Guided Skip Connections Yuxin Hou, Arno Solin, Juho Kannala

NeurIPS 2020 Deep Automodulators Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin

WACV 2020 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip Torr

WACV 2020 Geometric Image Correspondence Verification by Dense Pixel Matching Zakaria Laskar, Iaroslav Melekhov, Hamed Rezazadegan Tavakoli, Juha Ylioinas, Juho Kannala

WACV 2020 ICface: Interpretable and Controllable Face Reenactment Using GANs Soumya Tripathy, Juho Kannala, Esa Rahtu

WACV 2020 Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka, Arno Solin, Juho Kannala

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

WACV 2019 Digging Deeper into Egocentric Gaze Prediction Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji

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

IJCAI 2019 Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz

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

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

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

ECCV 2018 ADVIO: An Authentic Dataset for Visual-Inertial Odometry Santiago Cortes, Arno Solin, Esa Rahtu, Juho Kannala

ECCVW 2018 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr

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

ECCVW 2018 Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala

ECCVW 2018 Semi-Supervised Semantic Matching Zakaria Laskar, Juho Kannala

ICCVW 2017 Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala

ICCVW 2017 Image-Based Localization Using Hourglass Networks Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu

WACV 2016 Forget the Checkerboard: Practical Self-Calibration Using a Planar Scene Daniel Herrera C., Juho Kannala, Janne Heikkilä

CVPRW 2015 Unsupervised Learning of Overcomplete Face Descriptors Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen

CVPR 2014 Generating Object Segmentation Proposals Using Global and Local Search Pekka Rantalankila, Juho Kannala, Esa Rahtu

WACV 2014 Learning Local Image Descriptors Using Binary Decision Trees Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen

CVPR 2014 Understanding Objects in Detail with Fine-Grained Attributes Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed

ICCV 2011 Learning a Category Independent Object Detection Cascade Esa Rahtu, Juho Kannala, Matthew B. Blaschko

ECCV 2010 Segmenting Salient Objects from Images and Videos Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkilä

ICCVW 2009 Uncalibrated Non-Rigid Factorisation with Automatic Shape Basis Selection Sami S. Brandt, Pekka Koskenkorva, Juho Kannala, Anders Heyden

CVPR 2008 Object Recognition and Segmentation by Non-Rigid Quasi-Dense Matching Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä

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