Juho Kannala

276 papers A* 27A 24B 20C 6Misc 7Journal 122Unranked 68
YearRankTypeTitle / Venue / Authors
2026 — conf
3D Gaussian Splatting with Fisheye Images: Field of View Analysis and Depth-Based Initialization.
VISAPP (3)
Ulas Gunes, Matias Turkulainen, Mikhail Silaev, Juho Kannala, Esa Rahtu
2026 — conf
A Simple and Efficient 3D Gaussians Storage Format.
VISAPP (3)
Denis Chaplygin, Juho Kannala, Esa Rahtu
2026 J jnl
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2026 J jnl
PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos.
CoRR
Yihao Wang, Yang Miao, Wenshuai Zhao, Wenyan Yang, Zihan Wang, Joni Pajarinen, Luc Van Gool, Danda Pani Paudel, Juho Kannala, Xi Wang, Arno Solin
2026 A* conf
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs.
AAAI
Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2026 J jnl
Sparsely Supervised Diffusion.
CoRR
Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juho Kannala, Arno Solin
2026 A* conf
Tuning Qwen2.5-VL to Improve Its Web Interaction Skills.
WWW
Alexandra Yakovleva, Henrik Pärssinen, Harri Valpola, Juho Kannala, Alexander Ilin
2025 A* conf
A Dataset for Semantic Segmentation in the Presence of Unknowns.
CVPR
Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar
2025 J jnl
A Dataset for Semantic Segmentation in the Presence of Unknowns.
CoRR
Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar
2025 — conf
A2-GNN: Angle-Annular GNN for Visual Descriptor-Free Camera Relocalization.
3DV
Yejun Zhang, Shuzhe Wang, Juho Kannala
2025 J jnl
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization.
CoRR
Yejun Zhang, Shuzhe Wang, Juho Kannala
2025 — conf
AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones.
3DV
Xuqian Ren, Matias Turkulainen, Jiepeng Wang, Otto Seiskari, Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2025 J jnl
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models.
CoRR
Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2025 A conf
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.
WACV
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala
2025 A* conf
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering.
CVPR
Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin
2025 J jnl
Dexterous Robotic Piano Playing at Scale.
CoRR
Le Chen, Yi Zhao, Jan Schneider, Quankai Gao, Simon Guist, Cheng Qian, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2025 J jnl
Evaluating Fisheye-Compatible 3D Gaussian Splatting Methods on Real Images Beyond 180 Degree Field of View.
CoRR
Ulas Gunes, Matias Turkulainen, Juho Kannala, Esa Rahtu
2025 — conf
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking.
SCIA (2)
Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu
2025 J jnl
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking.
CoRR
Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu
2025 A* conf
FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition.
ACM Multimedia
Yifan Wang, Jie Gui, Baosheng Yu, Qi Li, Zhenan Sun, Juho Kannala, Guoying Zhao
2025 J jnl
FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition.
CoRR
Yinfan Wang, Jie Gui, Baosheng Yu, Qi Li, Zhenan Sun, Juho Kannala, Guoying Zhao
2025 J jnl
Generalist World Model Pre-Training for Efficient Reinforcement Learning.
CoRR
Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen
2025 — conf
Grouped Discrete Representation for Object-Centric Learning.
ECML/PKDD (6)
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2025 A* conf
Multi-Scale Fusion for Object Representation.
ICLR
Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025 — conf
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation.
SCIA (1)
Junyuan Fang, Zihan Wang, Yejun Zhang, Shuzhe Wang, Iaroslav Melekhov, Juho Kannala
2025 J jnl
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation.
CoRR
Junyuan Fang, Zihan Wang, Yejun Zhang, Shuzhe Wang, Iaroslav Melekhov, Juho Kannala
2025 J jnl
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs.
CoRR
Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2025 — conf
Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition.
SCIA (1)
Xuqian Ren, Juho Kannala, Esa Rahtu
2025 A* conf
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization.
CVPR
Siyan Dong, Shuzhe Wang, Shaohui Liu, Lulu Cai, Qingnan Fan, Juho Kannala, Yanchao Yang
2025 A* conf
Slot Attention with Re-Initialization and Self-Distillation.
ACM Multimedia
Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025 J jnl
Slot Attention with Re-Initialization and Self-Distillation.
CoRR
Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025 J jnl
Smoothing Slot Attention Iterations and Recurrences.
CoRR
Rongzhen Zhao, Wenyan Yang, Juho Kannala, Joni Pajarinen
2025 A* conf
Vector-Quantized Vision Foundation Models for Object-Centric Learning.
ACM Multimedia
Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025 J jnl
Vector-Quantized Vision Foundation Models for Object-Centric Learning.
CoRR
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024 J jnl
AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones.
CoRR
Xuqian Ren, Matias Turkulainen, Jiepeng Wang, Otto Seiskari, Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2024 A conf
Continuous Monte Carlo Graph Search.
AAMAS
Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2024 A* conf
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching.
CVPR
Shuzhe Wang, Juho Kannala, Daniel Barath
2024 J jnl
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.
CoRR
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala
2024 J jnl
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering.
CoRR
Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin
2024 — conf
Dense Road Surface Grip Map Prediction from Multimodal Image Data.
ICPR (17)
Jyri Maanpää, Julius Pesonen, Heikki Hyyti, Iaroslav Melekhov, Juho Kannala, Petri Manninen, Antero Kukko, Juha Hyyppä
2024 J jnl
Dense Road Surface Grip Map Prediction from Multimodal Image Data.
CoRR
Jyri Maanpää, Julius Pesonen, Heikki Hyyti, Iaroslav Melekhov, Juho Kannala, Petri Manninen, Antero Kukko, Juha Hyyppä
2024 — conf
Differentiable Product Quantization for Memory Efficient Camera Relocalization.
ECCV (85)
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala
2024 J jnl
Differentiable Product Quantization for Memory Efficient Camera Relocalization.
CoRR
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala
2024 — conf
Efficient NeRF Optimization - Not All Samples Remain Equally Hard.
ECCV (36)
Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala
2024 J jnl
Efficient NeRF Optimization - Not All Samples Remain Equally Hard.
CoRR
Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala
2024 J jnl
Gaussian Splatting in Mirrors: Reflection-Aware Rendering via Virtual Camera Optimization.
CoRR
Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala
2024 A conf
Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization.
BMVC
Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala
2024 — conf
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion.
ECCV (71)
Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
2024 J jnl
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion.
CoRR
Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
2024 J jnl
Grouped Discrete Representation for Object-Centric Learning.
CoRR
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024 J jnl
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.
Int. J. Comput. Vis.
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
2024 — conf
Medical Image Segmentation with SAM-Generated Annotations.
ECCV Workshops (22)
Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala
2024 J jnl
Medical Image Segmentation with SAM-generated Annotations.
CoRR
Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala
2024 A conf
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis.
WACV
Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu
2024 J jnl
Multi-Scale Fusion for Object Representation.
CoRR
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024 A* conf
Optimistic Multi-Agent Policy Gradient.
ICML
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2024 A conf
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
BMVC
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2024 Misc conf
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.
CoRL
Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024 J jnl
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.
CoRR
Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024 J jnl
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization.
CoRR
Siyan Dong, Shuzhe Wang, Shaohui Liu, Lulu Cai, Qingnan Fan, Juho Kannala, Yanchao Yang
2024 — conf
Sources of Uncertainty in 3D Scene Reconstruction.
ECCV Workshops (17)
Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin
2024 J jnl
Sources of Uncertainty in 3D Scene Reconstruction.
CoRR
Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin
2024 A* conf
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation.
ICRA
Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen
2023 — conf
BS3D: Building-Scale 3D Reconstruction from RGB-D Images.
SCIA (2)
Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
2023 J jnl
BS3D: Building-scale 3D Reconstruction from RGB-D Images.
CoRR
Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
2023 J jnl
DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching.
CoRR
Shuzhe Wang, Juho Kannala, Daniel Barath
2023 A conf
Expansion of Visual Hints for Improved Generalization in Stereo Matching.
WACV
Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2023 A* conf
Guiding Local Feature Matching with Surface Curvature.
ICCV
Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath
2023 J jnl
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.
CoRR
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
2023 A conf
MixupE: Understanding and improving Mixup from directional derivative perspective.
UAI
Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2023 J jnl
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis.
CoRR
Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu
2023 J jnl
Optimistic Multi-Agent Policy Gradient for Cooperative Tasks.
CoRR
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2023 J jnl
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
CoRR
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2023 A* conf
Simplified Temporal Consistency Reinforcement Learning.
ICML
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2023 J jnl
Simplified Temporal Consistency Reinforcement Learning.
CoRR
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2023 — conf
TBPos: Dataset for Large-Scale Precision Visual Localization.
SCIA (1)
Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier
2023 J jnl
TBPos: Dataset for Large-Scale Precision Visual Localization.
CoRR
Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier
2022 B conf
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.
ESANN
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022 J jnl
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.
CoRR
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022 J jnl
Automated tip functionalization via machine learning in scanning probe microscopy.
Comput. Phys. Commun.
Benjamin Alldritt, Fedor Urtev, Niko Oinonen, Markus Aapro, Juho Kannala, Peter Liljeroth, Adam S. Foster
2022 J jnl
Continuous Monte Carlo Graph Search.
CoRR
Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2022 J jnl
Expansion of Visual Hints for Improved Generalization in Stereo Matching.
CoRR
Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2022 A conf
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry.
WACV
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
2022 J jnl
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.
Neural Networks
Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
2022 J jnl
Interpolation consistency training for semi-supervised learning.
Neural Networks
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
2022 J jnl
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner.
IEEE Trans. Games
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
2022 J jnl
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
CoRR
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022 Misc conf
Multiple Offsets Multilateration: A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes.
ICASSP
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2022 J jnl
Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes.
CoRR
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2022 J jnl
Representational Multiplicity Should Be Exposed, Not Eliminated.
CoRR
Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin
2022 A conf
Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points.
WACV
Soumya Tripathy, Juho Kannala, Esa Rahtu
2022 J jnl
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction.
CoRR
Hao Dong, Xianjing Zhang, Xuan Jiang, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala, Xieyuanli Chen
2022 — conf
Uncertainty-Guided Source-Free Domain Adaptation.
ECCV (25)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2022 J jnl
Uncertainty-guided Source-free Domain Adaptation.
CoRR
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2022 — conf
Visual Localization via Few-Shot Scene Region Classification.
3DV
Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen
2022 J jnl
Visual Localization via Few-Shot Scene Region Classification.
CoRR
Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen
2021 — conf
Bridging the Gap Between Paired and Unpaired Medical Image Translation.
DGM4MICCAI/DALI@MICCAI
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
2021 J jnl
Bridging the gap between paired and unpaired medical image translation.
CoRR
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
2021 A* conf
Continual Learning for Image-Based Camera Localization.
ICCV
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala
2021 J jnl
Continual Learning for Image-Based Camera Localization.
CoRR
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala
2021 — conf
Digging Into Self-Supervised Learning of Feature Descriptors.
3DV
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala
2021 J jnl
Digging Into Self-Supervised Learning of Feature Descriptors.
CoRR
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala
2021 J jnl
End-to-End Learning of Keypoint Representations for Continuous Control from Images.
CoRR
Rinu Boney, Alexander Ilin, Juho Kannala
2021 A conf
FACEGAN: Facial Attribute Controllable rEenactment GAN.
WACV
Soumya Tripathy, Juho Kannala, Esa Rahtu
2021 A* conf
GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
AAAI
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021 — conf
Homotopy Continuation for Sensor Networks Self-Calibration.
EUSIPCO
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2021 J jnl
Homotopy Continuation for Sensor Networks Self-Calibration.
CoRR
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2021 J jnl
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry.
CoRR
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
2021 A* conf
Interpolation-Based Semi-Supervised Learning for Object Detection.
CVPR
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
2021 — conf
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.
ICAR
Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala
2021 A conf
Novel View Synthesis via Depth-guided Skip Connections.
WACV
Yuxin Hou, Arno Solin, Juho Kannala
2021 J jnl
Novel View Synthesis via Depth-guided Skip Connections.
CoRR
Yuxin Hou, Arno Solin, Juho Kannala
2021 Misc conf
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions.
ICASSP
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2021 J jnl
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points.
CoRR
Soumya Tripathy, Juho Kannala, Esa Rahtu
2020 B conf
Can You Trust Your Pose? Confidence Estimation in Visual Localization.
ICPR
Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala
2020 J jnl
Can You Trust Your Pose? Confidence Estimation in Visual Localization.
CoRR
Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala
2020 — conf
Data-Efficient Ranking Distillation for Image Retrieval.
ACCV (1)
Zakaria Laskar, Juho Kannala
2020 J jnl
Data-Efficient Ranking Distillation for Image Retrieval.
CoRR
Zakaria Laskar, Juho Kannala
2020 — conf
Deep Audio-Visual Saliency: Baseline Model and Data.
ETRA Short Papers
Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
2020 A* conf
Deep Automodulators.
NeurIPS
Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
2020 A conf
Devon: Deformable Volume Network for Learning Optical Flow.
WACV
Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2020 J jnl
FACEGAN: Facial Attribute Controllable rEenactment GAN.
CoRR
Soumya Tripathy, Juho Kannala, Esa Rahtu
2020 A* conf
Hierarchical Scene Coordinate Classification and Regression for Visual Localization.
CVPR
Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala
2020 A conf
ICface: Interpretable and Controllable Face Reenactment Using GANs.
WACV
Soumya Tripathy, Juho Kannala, Esa Rahtu
2020 J jnl
Image Stylization for Robust Features.
CoRR
Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov
2020 J jnl
Interpolation-based semi-supervised learning for object detection.
CoRR
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
2020 A conf
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs.
BMVC
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
2020 J jnl
Learning to Drive Small Scale Cars from Scratch.
CoRR
Ari Viitala, Rinu Boney, Juho Kannala
2020 J jnl
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner.
CoRR
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
2020 C conf
MAMBA: Adaptive and Bi-directional Data Transfer for Reliable Camera-display Communication.
WoWMoM
Jacopo Bufalino, Maria L. Montoya Freire, Juho Kannala, Mario Di Francesco
2020 B conf
Movement-induced Priors for Deep Stereo.
ICPR
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
2020 J jnl
Movement-induced Priors for Deep Stereo.
CoRR
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
2020 J jnl
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning.
CoRR
Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala
2020 J jnl
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions.
CoRR
Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala
2020 A conf
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders.
WACV
Ari Heljakka, Arno Solin, Juho Kannala
2019 J jnl
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis.
CoRR
Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala
2019 — conf
CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis.
SCIA
Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala
2019 J jnl
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction.
CoRR
Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala
2019 A conf
DGC-Net: Dense Geometric Correspondence Network.
WACV
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
2019 J jnl
Deep Automodulators.
CoRR
Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
2019 A conf
Digging Deeper Into Egocentric Gaze Prediction.
WACV
Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
2019 J jnl
Digging Deeper into Egocentric Gaze Prediction.
CoRR
Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
2019 J jnl
Geometric Image Correspondence Verification by Dense Pixel Matching.
CoRR
Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala
2019 J jnl
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.
CoRR
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2019 A conf
Gyroscope-Aided Motion Deblurring with Deep Networks.
WACV
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2019 J jnl
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization.
CoRR
Xiaotian Li, Jakob Verbeek, Juho Kannala
2019 J jnl
ICface: Interpretable and Controllable Face Reenactment Using GANs.
CoRR
Soumya Tripathy, Juho Kannala, Esa Rahtu
2019 — conf
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy.
AISec@CCS
Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio
2019 J jnl
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.
CoRR
Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio
2019 J jnl
Interpolation Consistency Training for Semi-Supervised Learning.
CoRR
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
2019 A* conf
Interpolation Consistency Training for Semi-supervised Learning.
IJCAI
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
2019 C conf
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones.
FUSION
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
2019 J jnl
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones.
CoRR
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
2019 B conf
Learning Image Relations with Contrast Association Networks.
IJCNN
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
2019 — conf
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation.
ISBI
Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala
2019 J jnl
Mask-RCNN and U-net Ensembled for Nuclei Segmentation.
CoRR
Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala
2019 A* conf
Multi-View Stereo by Temporal Nonparametric Fusion.
ICCV
Yuxin Hou, Juho Kannala, Arno Solin
2019 J jnl
Multi-View Stereo by Temporal Nonparametric Fusion.
CoRR
Yuxin Hou, Juho Kannala, Arno Solin
2019 Misc conf
Regularizing Model-Based Planning with Energy-Based Models.
CoRL
Rinu Boney, Juho Kannala, Alexander Ilin
2019 J jnl
Regularizing Model-Based Planning with Energy-Based Models.
CoRR
Rinu Boney, Juho Kannala, Alexander Ilin
2019 A* conf
Regularizing Trajectory Optimization with Denoising Autoencoders.
NeurIPS
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
2019 J jnl
Regularizing Trajectory Optimization with Denoising Autoencoders.
CoRR
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
2019 A conf
Semantic Matching by Weakly Supervised 2D Point Set Registration.
WACV
Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala
2019 J jnl
Semantic Matching by Weakly Supervised 2D Point Set Registration.
CoRR
Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala
2019 J jnl
Semi-Supervised Semantic Matching.
CoRR
Zakaria Laskar, Juho Kannala
2019 J jnl
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders.
CoRR
Ari Heljakka, Arno Solin, Juho Kannala
2019 J jnl
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation.
CoRR
Yuxin Hou, Arno Solin, Juho Kannala
2019 — conf
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation.
SCIA
Yuxin Hou, Arno Solin, Juho Kannala
2018 — conf
ADVIO: An Authentic Dataset for Visual-Inertial Odometry.
ECCV (10)
Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala
2018 J jnl
ADVIO: An authentic dataset for visual-inertial odometry.
CoRR
Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala
2018 B conf
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement.
ICPR
Markus Ylimäki, Janne Heikkilä, Juho Kannala
2018 J jnl
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement.
CoRR
Markus Ylimäki, Juho Kannala, Janne Heikkilä
2018 B conf
Bottom-Up Attention Guidance for Recurrent Image Recognition.
ICIP
Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala
2018 J jnl
DGC-Net: Dense Geometric Correspondence Network.
CoRR
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
2018 J jnl
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones.
CoRR
Santiago Cortés Reina, Arno Solin, Juho Kannala
2018 — conf
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones.
MLSP
Santiago Cortés Reina, Arno Solin, Juho Kannala
2018 — conf
Devon: Deformable Volume Network for Learning Optical Flow.
ECCV Workshops (6)
Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2018 J jnl
Devon: Deformable Volume Network for Learning Optical Flow.
CoRR
Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr
2018 B conf
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements.
ICPR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 J jnl
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 — conf
Full-Frame Scene Coordinate Regression for Image-Based Localization.
Robotics: Science and Systems
Xiaotian Li, Juha Ylioinas, Juho Kannala
2018 J jnl
Full-Frame Scene Coordinate Regression for Image-Based Localization.
CoRR
Xiaotian Li, Juha Ylioinas, Juho Kannala
2018 C conf
Inertial Odometry on Handheld Smartphones.
FUSION
Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2018 J jnl
Inertial-aided Motion Deblurring with Deep Networks.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 J jnl
LSD
CoRR
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
2018 — conf
Learning Image-to-Image Translation Using Paired and Unpaired Training Samples.
ACCV (2)
Soumya Tripathy, Juho Kannala, Esa Rahtu
2018 Misc conf
Learning Representations for Soft Skill Matching.
AIST
Luiza Sayfullina, Eric Malmi, Juho Kannala
2018 J jnl
Learning Representations for Soft Skill Matching.
CoRR
Luiza Sayfullina, Eric Malmi, Juho Kannala
2018 J jnl
Learning image-to-image translation using paired and unpaired training samples.
CoRR
Soumya Tripathy, Juho Kannala, Esa Rahtu
2018 — conf
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.
COMPAY/OMIA@MICCAI
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
2018 J jnl
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.
CoRR
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
2018 A conf
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation.
WACV
Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2018 — conf
Pioneer Networks: Progressively Growing Generative Autoencoder.
ACCV (1)
Ari Heljakka, Arno Solin, Juho Kannala
2018 J jnl
Pioneer Networks: Progressively Growing Generative Autoencoder.
CoRR
Ari Heljakka, Arno Solin, Juho Kannala
2018 — conf
Real-time Human Pose Estimation with Convolutional Neural Networks.
VISIGRAPP (5: VISAPP)
Marko Linna, Juho Kannala, Esa Rahtu
2018 B conf
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging.
ACIVS
Ari Heljakka, Arno Solin, Juho Kannala
2018 J jnl
Recursive Chaining of Reversible Image-to-image Translators For Face Aging.
CoRR
Ari Heljakka, Arno Solin, Juho Kannala
2018 C conf
Robust Gyroscope-Aided Camera Self-Calibration.
FUSION
Santiago Cortés Reina, Arno Solin, Juho Kannala
2018 J jnl
Robust Gyroscope-Aided Camera Self-Calibration.
CoRR
Santiago Cortés Reina, Arno Solin, Juho Kannala
2018 — conf
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization.
ECCV Workshops (3)
Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
2018 J jnl
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization.
CoRR
Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
2018 — conf
Semi-supervised Semantic Matching.
ECCV Workshops (3)
Zakaria Laskar, Juho Kannala
2017 — conf
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network.
ICCV Workshops
Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala
2017 J jnl
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network.
CoRR
Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala
2017 J jnl
Cell Tracking via Proposal Generation and Selection.
CoRR
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
2017 — conf
Context Aware Query Image Representation for Particular Object Retrieval.
SCIA (2)
Zakaria Laskar, Juho Kannala
2017 J jnl
Context Aware Query Image Representation for Particular Object Retrieval.
CoRR
Zakaria Laskar, Juho Kannala
2017 J jnl
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance.
CoRR
Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2017 — conf
Image-Based Localization Using Hourglass Networks.
ICCV Workshops
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu
2017 J jnl
Image-based Localization using Hourglass Networks.
CoRR
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu
2017 J jnl
Inertial Odometry on Handheld Smartphones.
CoRR
Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2017 A conf
Inertial-based scale estimation for structure from motion on mobile devices.
IROS
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2017 J jnl
Learning Image Relations with Contrast Association Networks.
CoRR
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
2017 J jnl
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation.
CoRR
Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2017 B conf
Relative Camera Pose Estimation Using Convolutional Neural Networks.
ACIVS
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu
2017 J jnl
Relative Camera Pose Estimation Using Convolutional Neural Networks.
CoRR
Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2017 — conf
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras.
SCIA (1)
Markus Ylimäki, Juho Kannala, Janne Heikkilä
2016 — conf
Cell Segmentation Proposal Network for Microscopy Image Analysis.
LABELS/DLMIA@MICCAI
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
2016 B conf
Cell proposal network for microscopy image analysis.
ICIP
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
2016 B conf
Deep learning for magnification independent breast cancer histopathology image classification.
ICPR
Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä
2016 A conf
Forget the checkerboard: Practical self-calibration using a planar scene.
WACV
Daniel Herrera C., Juho Kannala, Janne Heikkilä
2016 — conf
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance.
ACCV Workshops (3)
Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2016 J jnl
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2016 — conf
Joint cell segmentation and tracking using cell proposals.
ISBI
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
2016 J jnl
Parallax correction via disparity estimation in a multi-aperture camera.
Mach. Vis. Appl.
Janne Mustaniemi, Juho Kannala, Janne Heikkilä
2016 J jnl
Real-time Human Pose Estimation from Video with Convolutional Neural Networks.
CoRR
Marko Linna, Juho Kannala, Esa Rahtu
2016 B conf
Robust loop closures for scene reconstruction by combining odometry and visual correspondences.
ICIP
Zakaria Laskar, Sami Huttunen, Daniel Herrera C., Esa Rahtu, Juho Kannala
2016 B conf
Siamese network features for image matching.
ICPR
Iaroslav Melekhov, Juho Kannala, Esa Rahtu
2015 — conf
3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB.
SCIA
K. K. Srikrishna Bhat, Juho Kannala, Janne Heikkilä
2015 B conf
A novel feature descriptor based on microscopy image statistics.
ICIP
Neslihan Bayramoglu, Juho Kannala, Malin Akerfelt, Mika Kaakinen, Lauri Eklund, Matthias Nees, Janne Heikkilä
2015 C conf
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems.
IPIN
Simo Särkkä, Ville Tolvanen, Juho Kannala, Esa Rahtu
2015 — conf
Disparity Estimation for Image Fusion in a Multi-aperture Camera.
CAIP (2)
Janne Mustaniemi, Juho Kannala, Janne Heikkilä
2015 — conf
Face Recognition Using Smoothed High-Dimensional Representation.
SCIA
Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen
2015 J jnl
Fast and accurate multi-view reconstruction by multi-stage prioritised matching.
IET Comput. Vis.
Markus Ylimäki, Juho Kannala, Jukka Holappa, Sami S. Brandt, Janne Heikkilä
2015 C conf
Human Epithelial Type 2 cell classification with convolutional neural networks.
BIBE
Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä
2015 B conf
Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking.
ACIVS
Marko Linna, Juho Kannala, Esa Rahtu
2015 — conf
Optimizing the Accuracy and Compactness of Multi-view Reconstructions.
CAIP (2)
Markus Ylimäki, Juho Kannala, Janne Heikkilä
2015 — conf
Unsupervised learning of overcomplete face descriptors.
CVPR Workshops
Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen
2014 B conf
An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition.
ICPR
Juha Ylioinas, Abdenour Hadid, Juho Kannala, Matti Pietikäinen
2014 — conf
DT-SLAM: Deferred Triangulation for Robust SLAM.
3DV
Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkilä
2014 B conf
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach.
ICPR
Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Malin Akerfelt, Matthias Nees, Juho Kannala, Janne Heikkilä
2014 A* conf
Generating Object Segmentation Proposals Using Global and Local Search.
CVPR
Pekka Rantalankila, Juho Kannala, Esa Rahtu
2014 A conf
Learning local image descriptors using binary decision trees.
WACV
Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen
2014 — conf
Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach.
ACCV (3)
Saad Ullah Akram, Juho Kannala, Mika Kaakinen, Lauri Eklund, Janne Heikkilä
2014 A* conf
Understanding Objects in Detail with Fine-Grained Attributes.
CVPR
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
2013 — conf
A Learned Joint Depth and Intensity Prior Using Markov Random Fields.
3DV
Daniel Herrera C., Juho Kannala, Peter F. Sturm, Janne Heikkilä
2013 — conf
Depth Map Inpainting under a Second-Order Smoothness Prior.
SCIA
Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä
2013 J jnl
Fine-Grained Visual Classification of Aircraft.
CoRR
Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew B. Blaschko, Andrea Vedaldi
2013 — conf
Merging Overlapping Depth Maps into a Nonredundant Point Cloud.
SCIA
Tomi Kyöstilä, Daniel Herrera C., Juho Kannala, Janne Heikkilä
2013 — conf
Non Maximal Suppression in Cascaded Ranking Models.
SCIA
Matthew B. Blaschko, Juho Kannala, Esa Rahtu
2012 — conf
A general model and calibration method for spherical stereoscopic vision.
Intelligent Robots and Computer Vision: Algorithms and Techniques
Weijia Feng, Juha Röning, Juho Kannala, Xiaoning Zong, Baofeng Zhang
2012 B conf
BSIF: Binarized statistical image features.
ICPR
Juho Kannala, Esa Rahtu
2012 J jnl
Joint Depth and Color Camera Calibration with Distortion Correction.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniel Herrera C., Juho Kannala, Janne Heikkilä
2012 B conf
Robust and accurate multi-view reconstruction by prioritized matching.
ICPR
Markus Ylimäki, Juho Kannala, Jukka Holappa, Janne Heikkilä, Sami S. Brandt
2011 — conf
Accurate and Practical Calibration of a Depth and Color Camera Pair.
CAIP (2)
Daniel Herrera C., Juho Kannala, Janne Heikkilä
2011 A* conf
Learning a category independent object detection cascade.
ICCV
Esa Rahtu, Juho Kannala, Matthew B. Blaschko
2011 — conf
Multi-view Alpha Matte for Free Viewpoint Rendering.
MIRAGE
Daniel Herrera C., Juho Kannala, Janne Heikkilä
2010 — —
Models and methods for geometric computer vision.
Juho Kannala
2010 B conf
Quasi-dense Wide Baseline Matching for Three Views.
ICPR
Pekka Koskenkorva, Juho Kannala, Sami S. Brandt
2010 — conf
Segmenting Salient Objects from Images and Videos.
ECCV (5)
Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkilä
2009 Misc conf
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy.
ICIAP
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lepistö, Janne Heikkilä
2009 — conf
Dense and Deformable Motion Segmentation for Wide Baseline Images.
SCIA
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä
2009 — conf
Uncalibrated non-rigid factorisation with automatic shape basis selection.
ICCV Workshops
Sami S. Brandt, Pekka Koskenkorva, Juho Kannala, Anders Heyden
2008 — ch.
Geometric Camera Calibration.
Wiley Encyclopedia of Computer Science and Engineering
Juho Kannala, Janne Heikkilä, Sami S. Brandt
2008 J jnl
Measuring and modelling sewer pipes from video.
Mach. Vis. Appl.
Juho Kannala, Sami S. Brandt, Janne Heikkilä
2008 A* conf
Object recognition and segmentation by non-rigid quasi-dense matching.
CVPR
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Heikkilä
2008 — conf
Self-Calibration of Central Cameras by Minimizing Angular Error.
VISAPP (1)
Juho Kannala, Sami S. Brandt, Janne Heikkilä
2008 — conf
Self-calibration of Central Cameras from Point Correspondences by Minimizing Angular Error.
VISIGRAPP (Selected Papers)
Juho Kannala, Sami S. Brandt, Janne Heikkilä
2007 A* conf
Quasi-Dense Wide Baseline Matching Using Match Propagation.
CVPR
Juho Kannala, Sami S. Brandt
2006 J jnl
A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses.
IEEE Trans. Pattern Anal. Mach. Intell.
Juho Kannala, Sami S. Brandt
2006 A conf
Algorithms for Computing a Planar Homography from Conics in Correspondence.
BMVC
Juho Kannala, Mikko Salo, Janne Heikkilä
2006 — conf
Object Localization by Subspace Clustering of Local Descriptors.
ICVGIP
Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
2005 — conf
A New Method for Affine Registration of Images and Point Sets.
SCIA
Juho Kannala, Esa Rahtu, Janne Heikkilä, Mikko Salo
2005 — conf
Affine registration with multi-scale autoconvolution.
ICIP (3)
Juho Kannala, Esa Rahtu, Janne Heikkilä
2005 Misc conf
Measuring the Shape of Sewer Pipes from Video.
MVA
Juho Kannala, Sami S. Brandt
2004 — conf
A Generic Camera Calibration Method for Fish-Eye Lenses.
ICPR (1)
Juho Kannala, Sami S. Brandt