Juho Kannala

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 184

Top Venues

University of Oulu, Finland (PHD)

Education History

University of Oulu, Finland

PHD

Publications

Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. WACV (2024)
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala
Differentiable Product Quantization for Memory Efficient Camera Relocalization. CoRR (2024)
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
Grouped Discrete Representation Guides Object-Centric Learning. CoRR (2024)
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer. Int. J. Comput. Vis. 132 (7) (2024)
Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
Continuous Monte Carlo Graph Search. AAMAS (2024)
Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. CoRR (2024)
Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation. ICRA (2024)
Jyri Maanpää, Julius Pesonen, Heikki Hyyti, Iaroslav Melekhov, Juho Kannala, Petri Manninen, Antero Kukko, Juha Hyyppä
Dense Road Surface Grip Map Prediction from Multimodal Image Data. CoRR (2024)
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. CoRR (2024)
Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
BS3D: Building-Scale 3D Reconstruction from RGB-D Images. SCIA (2) (2023)
Shuzhe Wang, Juho Kannala, Daniel Barath
DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. CoRR (2023)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. ICML (2023)
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR (2023)
Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. CoRR (2023)
Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath
Guiding Local Feature Matching with Surface Curvature. ICCV (2023)
Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala
Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV (2023)
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. CoRR (2023)
Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier
TBPos: Dataset for Large-Scale Precision Visual Localization. CoRR (2023)
Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR (2023)
Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and improving Mixup from directional derivative perspective. UAI (2023)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. CoRR (2023)
Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier
TBPos: Dataset for Large-Scale Precision Visual Localization. SCIA (1) (2023)
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer. CoRR (2023)
Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala
Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR (2022)
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
Interpolation consistency training for semi-supervised learning. Neural Networks 145 (2022)
Benjamin Alldritt, Fedor Urtev, Niko Oinonen, Markus Aapro, Juho Kannala, Peter Liljeroth, Adam S. Foster
Automated tip functionalization via machine learning in scanning probe microscopy. Comput. Phys. Commun. 273 (2022)
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. WACV (2022)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes. CoRR (2022)
Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen
Visual Localization via Few-Shot Scene Region Classification. 3DV (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN (2022)
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR (2022)
Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin
Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR (2022)
Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
Continuous Monte Carlo Graph Search. CoRR (2022)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) (2022)
Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks 154 (2022)
Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen
Visual Localization via Few-Shot Scene Region Classification. CoRR (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR (2022)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14 (2) (2022)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Multiple Offsets Multilateration: A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes. ICASSP (2022)
Hao Dong, Xianjing Zhang, Xuan Jiang, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala, Xieyuanli Chen
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction. CoRR (2022)
Soumya Tripathy, Juho Kannala, Esa Rahtu
Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. WACV (2022)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
Uncertainty-guided Source-free Domain Adaptation. CoRR (2022)
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR (2021)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Homotopy Continuation for Sensor Networks Self-Calibration. CoRR (2021)
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala
Continual Learning for Image-Based Camera Localization. ICCV (2021)
Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. ICAR (2021)
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala
Continual Learning for Image-Based Camera Localization. CoRR (2021)
Yuxin Hou, Arno Solin, Juho Kannala
Novel View Synthesis via Depth-guided Skip Connections. CoRR (2021)
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI (2021)
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala
Digging Into Self-Supervised Learning of Feature Descriptors. 3DV (2021)
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala
Digging Into Self-Supervised Learning of Feature Descriptors. CoRR (2021)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. ICASSP (2021)
Soumya Tripathy, Juho Kannala, Esa Rahtu
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points. CoRR (2021)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Homotopy Continuation for Sensor Networks Self-Calibration. EUSIPCO (2021)
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
Bridging the gap between paired and unpaired medical image translation. CoRR (2021)
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
Bridging the Gap Between Paired and Unpaired Medical Image Translation. DGM4MICCAI/DALI@MICCAI (2021)
Soumya Tripathy, Juho Kannala, Esa Rahtu
FACEGAN: Facial Attribute Controllable rEenactment GAN. WACV (2021)
Rinu Boney, Alexander Ilin, Juho Kannala
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR (2021)
Yuxin Hou, Arno Solin, Juho Kannala
Novel View Synthesis via Depth-guided Skip Connections. WACV (2021)
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. CoRR (2021)
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 (2020)
Ari Viitala, Rinu Boney, Juho Kannala
Learning to Drive Small Scale Cars from Scratch. CoRR (2020)
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)
Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov
Image Stylization for Robust Features. CoRR (2020)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR (2020)
Zakaria Laskar, Juho Kannala
Data-Efficient Ranking Distillation for Image Retrieval. ACCV (1) (2020)
Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
Deep Automodulators. NeurIPS (2020)
Ari Heljakka, Arno Solin, Juho Kannala
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV (2020)
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)
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
Interpolation-based semi-supervised learning for object detection. CoRR (2020)
Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala
Can You Trust Your Pose? Confidence Estimation in Visual Localization. ICPR (2020)
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
Movement-induced Priors for Deep Stereo. ICPR (2020)
Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers (2020)
Zakaria Laskar, Juho Kannala
Data-Efficient Ranking Distillation for Image Retrieval. CoRR (2020)
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
Movement-induced Priors for Deep Stereo. CoRR (2020)
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. CoRR (2020)
Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
Devon: Deformable Volume Network for Learning Optical Flow. WACV (2020)
Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala
Hierarchical Scene Coordinate Classification and Regression for Visual Localization. CVPR (2020)
Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala
Can You Trust Your Pose? Confidence Estimation in Visual Localization. CoRR (2020)
Soumya Tripathy, Juho Kannala, Esa Rahtu
FACEGAN: Facial Attribute Controllable rEenactment GAN. CoRR (2020)
Soumya Tripathy, Juho Kannala, Esa Rahtu
ICface: Interpretable and Controllable Face Reenactment Using GANs. WACV (2020)
Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis. CoRR (2019)
Soumya Tripathy, Juho Kannala, Esa Rahtu
ICface: Interpretable and Controllable Face Reenactment Using GANs. CoRR (2019)
Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
Digging Deeper into Egocentric Gaze Prediction. CoRR (2019)
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)
Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
Digging Deeper Into Egocentric Gaze Prediction. WACV (2019)
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
Interpolation Consistency Training for Semi-Supervised Learning. CoRR (2019)
Ari Heljakka, Arno Solin, Juho Kannala
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. CoRR (2019)
Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala
Mask-RCNN and U-net Ensembled for Nuclei Segmentation. CoRR (2019)
Xiaotian Li, Jakob Verbeek, Juho Kannala
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. CoRR (2019)
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
DGC-Net: Dense Geometric Correspondence Network. WACV (2019)
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
Interpolation Consistency Training for Semi-supervised Learning. IJCAI (2019)
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
Learning Image Relations with Contrast Association Networks. IJCNN (2019)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS (2019)
Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. CoRR (2019)
Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. AISec@CCS (2019)
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION (2019)
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. CoRR (2019)
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR (2019)
Yuxin Hou, Juho Kannala, Arno Solin
Multi-View Stereo by Temporal Nonparametric Fusion. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Juho Kannala