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Juho Kannala
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2020 – today
- 2024
- [j10]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): 2530-2550 (2024) - [c123]Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. AAMAS 2024: 1047-1056 - [c122]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: 9056-9062 - [c121]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: 4496-4505 - [i87]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 abs/2403.13327 (2024) - [i86]Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala:
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. CoRR abs/2403.17822 (2024) - [i85]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 abs/2404.17324 (2024) - [i84]Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Grouped Discrete Representation Guides Object-Centric Learning. CoRR abs/2407.01726 (2024) - [i83]Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala:
Differentiable Product Quantization for Memory Efficient Camera Relocalization. CoRR abs/2407.15540 (2024) - 2023
- [c120]Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath:
Guiding Local Feature Matching with Surface Curvature. ICCV 2023: 17935-17945 - [c119]Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen:
Simplified Temporal Consistency Reinforcement Learning. ICML 2023: 42227-42246 - [c118]Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier:
TBPos: Dataset for Large-Scale Precision Visual Localization. SCIA (1) 2023: 84-94 - [c117]Janne Mustaniemi, Juho Kannala, Esa Rahtu
, Li Liu, Janne Heikkilä:
BS3D: Building-Scale 3D Reconstruction from RGB-D Images. SCIA (2) 2023: 551-565 - [c116]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: 2597-2607 - [c115]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin
, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV 2023: 5829-5838 - [i82]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR abs/2301.01057 (2023) - [i81]Masud An Nur Islam Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier:
TBPos: Dataset for Large-Scale Precision Visual Localization. CoRR abs/2302.09825 (2023) - [i80]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 abs/2305.03595 (2023) - [i79]Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen:
Simplified Temporal Consistency Reinforcement Learning. CoRR abs/2306.09466 (2023) - [i78]Shuzhe Wang, Juho Kannala, Daniel Barath:
DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. CoRR abs/2306.12547 (2023) - [i77]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 abs/2310.15128 (2023) - [i76]Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen:
Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. CoRR abs/2311.01953 (2023) - [i75]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 abs/2311.02778 (2023) - 2022
- [j9]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: 108258 (2022) - [j8]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: 90-106 (2022) - [j7]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: 218-233 (2022) - [j6]Rinu Boney
, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14(2): 262-272 (2022) - [c114]Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys
, Baoquan Chen:
Visual Localization via Few-Shot Scene Region Classification. 3DV 2022: 393-402 - [c113]Subhankar Roy
, Martin Trapp
, Andrea Pilzer, Juho Kannala, Nicu Sebe
, Elisa Ricci
, Arno Solin
:
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) 2022: 537-555 - [c112]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
:
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN 2022 - [c111]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: 4958-4962 - [c110]Otto Seiskari
, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu
, Arno Solin
:
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. WACV 2022: 287-296 - [c109]Soumya Tripathy, Juho Kannala, Esa Rahtu
:
Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. WACV 2022: 2121-2130 - [i74]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 abs/2205.11299 (2022) - [i73]Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin:
Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR abs/2206.08890 (2022) - [i72]Siyan Dong, Shuzhe Wang
, Yixin Zhuang, Juho Kannala, Marc Pollefeys
, Baoquan Chen:
Visual Localization via Few-Shot Scene Region Classification. CoRR abs/2208.06933 (2022) - [i71]Subhankar Roy
, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci
, Arno Solin:
Uncertainty-guided Source-free Domain Adaptation. CoRR abs/2208.07591 (2022) - [i70]Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. CoRR abs/2210.01426 (2022) - [i69]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen:
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR abs/2210.13846 (2022) - [i68]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR abs/2211.00392 (2022) - [i67]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 abs/2211.15656 (2022) - [i66]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 abs/2212.13381 (2022) - 2021
- [c108]Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang
, Juho Kannala:
Digging Into Self-Supervised Learning of Feature Descriptors. 3DV 2021: 1144-1155 - [c107]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: 10024-10032 - [c106]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [c105]Luca Ferranti
, Kalle Åström
, Magnus Oskarsson
, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. EUSIPCO 2021: 1725-1729 - [c104]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: 275-281 - [c103]Luca Ferranti
, Kalle Åström
, Magnus Oskarsson
, Jani Boutellier, Juho Kannala:
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. ICASSP 2021: 4635-4639 - [c102]Shuzhe Wang
, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala:
Continual Learning for Image-Based Camera Localization. ICCV 2021: 3232-3242 - [c101]Pauliina Paavilainen, Saad Ullah Akram
, Juho Kannala
:
Bridging the Gap Between Paired and Unpaired Medical Image Translation. DGM4MICCAI/DALI@MICCAI 2021: 35-44 - [c100]Soumya Tripathy, Juho Kannala, Esa Rahtu
:
FACEGAN: Facial Attribute Controllable rEenactment GAN. WACV 2021: 1328-1337 - [c99]Yuxin Hou, Arno Solin
, Juho Kannala:
Novel View Synthesis via Depth-guided Skip Connections. WACV 2021: 3118-3127 - [i65]Yuxin Hou, Arno Solin, Juho Kannala:
Novel View Synthesis via Depth-guided Skip Connections. CoRR abs/2101.01619 (2021) - [i64]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points. CoRR abs/2104.03117 (2021) - [i63]Rinu Boney, Alexander Ilin, Juho Kannala:
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR abs/2106.07995 (2021) - [i62]Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin:
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. CoRR abs/2106.11857 (2021) - [i61]Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. CoRR abs/2108.00667 (2021) - [i60]Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala:
Continual Learning for Image-Based Camera Localization. CoRR abs/2108.09112 (2021) - [i59]Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala:
Digging Into Self-Supervised Learning of Feature Descriptors. CoRR abs/2110.04773 (2021) - [i58]Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala:
Bridging the gap between paired and unpaired medical image translation. CoRR abs/2110.08407 (2021) - 2020
- [c98]Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. ACCV (1) 2020: 469-484 - [c97]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 - [c96]Xiaotian Li, Shuzhe Wang
, Yi Zhao, Jakob Verbeek, Juho Kannala:
Hierarchical Scene Coordinate Classification and Regression for Visual Localization. CVPR 2020: 11980-11989 - [c95]Hamed Rezazadegan Tavakoli, Ali Borji, Juho Kannala, Esa Rahtu
:
Deep Audio-Visual Saliency: Baseline Model and Data. ETRA Short Papers 2020: 23:1-23:5 - [c94]Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
:
Movement-induced Priors for Deep Stereo. ICPR 2020: 3628-3635 - [c93]Luca Ferranti
, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. ICPR 2020: 5004-5011 - [c92]Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. NeurIPS 2020 - [c91]Yao Lu, Jack Valmadre
, Heng Wang, Juho Kannala, Mehrtash Harandi
, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. WACV 2020: 2694-2702 - [c90]Ari Heljakka
, Arno Solin
, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV 2020: 3109-3118 - [c89]Soumya Tripathy, Juho Kannala, Esa Rahtu
:
ICface: Interpretable and Controllable Face Reenactment Using GANs. WACV 2020: 3374-3383 - [c88]Jacopo Bufalino, Maria L. Montoya Freire
, Juho Kannala, Mario Di Francesco:
MAMBA: Adaptive and Bi-directional Data Transfer for Reliable Camera-display Communication. WoWMoM 2020: 307-316 - [i57]Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. CoRR abs/2005.10298 (2020) - [i56]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. CoRR abs/2006.02158 (2020) - [i55]Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. CoRR abs/2007.05299 (2020) - [i54]Ari Viitala, Rinu Boney, Juho Kannala:
Learning to Drive Small Scale Cars from Scratch. CoRR abs/2008.00715 (2020) - [i53]Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov:
Image Stylization for Robust Features. CoRR abs/2008.06959 (2020) - [i52]Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. CoRR abs/2010.00347 (2020) - [i51]Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin:
Movement-induced Priors for Deep Stereo. CoRR abs/2010.09105 (2020) - [i50]Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala:
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. CoRR abs/2011.03085 (2020) - [i49]Soumya Tripathy, Juho Kannala, Esa Rahtu
:
FACEGAN: Facial Attribute Controllable rEenactment GAN. CoRR abs/2011.04439 (2020) - [i48]Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR abs/2012.12186 (2020)
2010 – 2019
- 2019
- [c87]Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. AISec@CCS 2019: 95-103 - [c86]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRL 2019: 182-191 - [c85]Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION 2019: 1-8 - [c84]Yuxin Hou, Juho Kannala, Arno Solin
:
Multi-View Stereo by Temporal Nonparametric Fusion. ICCV 2019: 2651-2660 - [c83]Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-supervised Learning. IJCAI 2019: 3635-3641 - [c82]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. IJCNN 2019: 1-7 - [c81]Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. ISBI 2019: 208-212 - [c80]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS 2019: 2855-2865 - [c79]Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala:
CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis. SCIA 2019: 28-40 - [c78]Yuxin Hou
, Arno Solin
, Juho Kannala
:
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. SCIA 2019: 54-66 - [c77]Hamed Rezazadegan Tavakoli, Esa Rahtu
, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. WACV 2019: 273-282 - [c76]Iaroslav Melekhov, Aleksei Tiulpin
, Torsten Sattler, Marc Pollefeys
, Esa Rahtu
, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. WACV 2019: 1034-1042 - [c75]Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. WACV 2019: 1061-1069 - [c74]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas
, Janne Heikkilä:
Gyroscope-Aided Motion Deblurring with Deep Networks. WACV 2019: 1914-1922 - [i47]Zakaria Laskar, Juho Kannala:
Semi-Supervised Semantic Matching. CoRR abs/1901.08339 (2019) - [i46]Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. CoRR abs/1901.08341 (2019) - [i45]Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-net Ensembled for Nuclei Segmentation. CoRR abs/1901.10170 (2019) - [i44]Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. CoRR abs/1902.02166 (2019) - [i43]Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-Supervised Learning. CoRR abs/1903.03825 (2019) - [i42]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR abs/1903.11981 (2019) - [i41]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. CoRR abs/1904.01909 (2019) - [i40]Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala:
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis. CoRR abs/1904.01920 (2019) - [i39]Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper into Egocentric Gaze Prediction. CoRR abs/1904.06090 (2019) - [i38]Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. CoRR abs/1904.06145 (2019) - [i37]Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. CoRR abs/1904.06397 (2019) - [i36]Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala:
Geometric Image Correspondence Verification by Dense Pixel Matching. CoRR abs/1904.06882 (2019) - [i35]Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala:
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. CoRR abs/1905.10693 (2019) - [i34]Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. CoRR abs/1906.00360 (2019) - [i33]Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. CoRR abs/1906.06784 (2019) - [i32]Xiaotian Li, Jakob Verbeek, Juho Kannala:
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. CoRR abs/1909.06216 (2019) - [i31]Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR abs/1909.11715 (2019) - [i30]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRR abs/1910.05527 (2019) - [i29]Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. CoRR abs/1912.10321 (2019) - 2018
- [c73]Ari Heljakka
, Arno Solin
, Juho Kannala
:
Pioneer Networks: Progressively Growing Generative Autoencoder. ACCV (1) 2018: 22-38 - [c72]Soumya Tripathy, Juho Kannala, Esa Rahtu
:
Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. ACCV (2) 2018: 51-66 - [c71]Ari Heljakka
, Arno Solin
, Juho Kannala:
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. ACIVS 2018: 309-320 - [c70]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. AIST 2018: 141-152 - [c69]Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. ECCV Workshops (3) 2018: 229-245 - [c68]Santiago Cortés Reina
, Arno Solin
, Esa Rahtu
, Juho Kannala
:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. ECCV (10) 2018: 425-440 - [c67]Zakaria Laskar, Juho Kannala:
Semi-supervised Semantic Matching. ECCV Workshops (3) 2018: 444-455 - [c66]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi
, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. ECCV Workshops (6) 2018: 673-677 - [c65]Arno Solin
, Santiago Cortés Reina, Esa Rahtu
, Juho Kannala:
Inertial Odometry on Handheld Smartphones. FUSION 2018: 1-5 - [c64]Santiago Cortés Reina, Arno Solin
, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. FUSION 2018: 772-779 - [c63]Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu
, Juho Kannala:
Bottom-Up Attention Guidance for Recurrent Image Recognition. ICIP 2018: 3004-3008 - [c62]Markus Ylimäki, Janne Heikkilä, Juho Kannala:
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. ICPR 2018: 1977-1982 - [c61]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas
, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. ICPR 2018: 3068-3073 - [c60]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. COMPAY/OMIA@MICCAI 2018: 69-77 - [c59]Santiago Cortés Reina, Arno Solin
, Juho Kannala:
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. MLSP 2018: 1-6 - [c58]Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. Robotics: Science and Systems 2018 - [c57]Marko Linna, Juho Kannala, Esa Rahtu
:
Real-time Human Pose Estimation with Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2018: 335-342 - [c56]Arno Solin
, Santiago Cortés Reina, Esa Rahtu
, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. WACV 2018: 616-625 - [i28]Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. CoRR abs/1802.03237 (2018) - [i27]Ari Heljakka, Arno Solin, Juho Kannala:
Recursive Chaining of Reversible Image-to-image Translators For Face Aging. CoRR abs/1802.05023 (2018) - [i26]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. CoRR abs/1802.07351 (2018) - [i25]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. CoRR abs/1804.08912 (2018) - [i24]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning image-to-image translation using paired and unpaired training samples. CoRR abs/1805.03189 (2018) - [i23]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. CoRR abs/1805.08542 (2018) - [i22]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. CoRR abs/1805.12506 (2018) - [i21]Ari Heljakka, Arno Solin, Juho Kannala:
Pioneer Networks: Progressively Growing Generative Autoencoder. CoRR abs/1807.03026 (2018) - [i20]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. CoRR abs/1807.07741 (2018) - [i19]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An authentic dataset for visual-inertial odometry. CoRR abs/1807.09828 (2018) - [i18]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR abs/1807.11677 (2018) - [i17]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones. CoRR abs/1808.03485 (2018) - [i16]Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. CoRR abs/1808.04999 (2018) - [i15]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. CoRR abs/1810.00986 (2018) - [i14]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. CoRR abs/1810.08393 (2018) - [i13]Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. CoRR abs/1811.09485 (2018) - 2017
- [c55]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu
:
Relative Camera Pose Estimation Using Convolutional Neural Networks. ACIVS 2017: 675-687 - [c54]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu
:
Image-Based Localization Using Hourglass Networks. ICCV Workshops 2017: 870-877 - [c53]Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala:
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. ICCV Workshops 2017: 920-929 - [c52]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas
, Janne Heikkilä:
Inertial-based scale estimation for structure from motion on mobile devices. IROS 2017: 4394-4401 - [c51]Zakaria Laskar, Juho Kannala:
Context Aware Query Image Representation for Particular Object Retrieval. SCIA (2) 2017: 88-99 - [c50]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras. SCIA (1) 2017: 122-134 - [i12]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Relative Camera Pose Estimation Using Convolutional Neural Networks. CoRR abs/1702.01381 (2017) - [i11]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. CoRR abs/1703.00154 (2017) - [i10]Zakaria Laskar, Juho Kannala:
Context Aware Query Image Representation for Particular Object Retrieval. CoRR abs/1703.01226 (2017) - [i9]Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-based Localization using Hourglass Networks. CoRR abs/1703.07971 (2017) - [i8]Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Tracking via Proposal Generation and Selection. CoRR abs/1705.03386 (2017) - [i7]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. CoRR abs/1705.05665 (2017) - [i6]Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala:
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. CoRR abs/1707.09733 (2017) - [i5]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. CoRR abs/1708.00894 (2017) - [i4]Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. CoRR abs/1710.11359 (2017) - 2016
- [j5]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Parallax correction via disparity estimation in a multi-aperture camera. Mach. Vis. Appl. 27(8): 1313-1323 (2016) - [c49]Iaroslav Melekhov, Juho Kannala, Esa Rahtu
:
Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. ACCV Workshops (3) 2016: 638-653 - [c48]Zakaria Laskar, Sami Huttunen, Daniel Herrera C., Esa Rahtu
, Juho Kannala:
Robust loop closures for scene reconstruction by combining odometry and visual correspondences. ICIP 2016: 2603-2607 - [c47]Saad Ullah Akram
, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell proposal network for microscopy image analysis. ICIP 2016: 3199-3203 - [c46]Iaroslav Melekhov, Juho Kannala, Esa Rahtu
:
Siamese network features for image matching. ICPR 2016: 378-383 - [c45]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Deep learning for magnification independent breast cancer histopathology image classification. ICPR 2016: 2440-2445 - [c44]Saad Ullah Akram
, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Joint cell segmentation and tracking using cell proposals. ISBI 2016: 920-924 - [c43]Saad Ullah Akram
, Juho Kannala, Lauri Eklund, Janne Heikkilä:
Cell Segmentation Proposal Network for Microscopy Image Analysis. LABELS/DLMIA@MICCAI 2016: 21-29 - [c42]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Forget the checkerboard: Practical self-calibration using a planar scene. WACV 2016: 1-9 - [i3]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation from Video with Convolutional Neural Networks. CoRR abs/1609.07420 (2016) - [i2]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices. CoRR abs/1611.09498 (2016) - 2015
- [j4]Markus Ylimäki, Juho Kannala, Jukka Holappa, Sami S. Brandt
, Janne Heikkilä:
Fast and accurate multi-view reconstruction by multi-stage prioritised matching. IET Comput. Vis. 9(4): 576-587 (2015) - [c41]Marko Linna, Juho Kannala, Esa Rahtu
:
Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. ACIVS 2015: 403-414 - [c40]Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä:
Human Epithelial Type 2 cell classification with convolutional neural networks. BIBE 2015: 1-6 - [c39]Janne Mustaniemi, Juho Kannala, Janne Heikkilä:
Disparity Estimation for Image Fusion in a Multi-aperture Camera. CAIP (2) 2015: 158-170 - [c38]Markus Ylimäki, Juho Kannala, Janne Heikkilä:
Optimizing the Accuracy and Compactness of Multi-view Reconstructions. CAIP (2) 2015: 171-183 - [c37]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Unsupervised learning of overcomplete face descriptors. CVPR Workshops 2015: 75-83 - [c36]Neslihan Bayramoglu, Juho Kannala, Malin Akerfelt, Mika Kaakinen, Lauri Eklund, Matthias Nees, Janne Heikkilä:
A novel feature descriptor based on microscopy image statistics. ICIP 2015: 2695-2699 - [c35]Simo Särkkä, Ville Tolvanen, Juho Kannala, Esa Rahtu
:
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. IPIN 2015: 1-7 - [c34]K. K. Srikrishna Bhat, Juho Kannala, Janne Heikkilä:
3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB. SCIA 2015: 79-91 - [c33]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Face Recognition Using Smoothed High-Dimensional Representation. SCIA 2015: 516-529 - 2014
- [c32]Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkilä:
DT-SLAM: Deferred Triangulation for Robust SLAM. 3DV 2014: 609-616 - [c31]Saad Ullah Akram
, Juho Kannala, Mika Kaakinen, Lauri Eklund, Janne Heikkilä:
Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach. ACCV (3) 2014: 300-314 - [c30]Pekka Rantalankila, Juho Kannala, Esa Rahtu
:
Generating Object Segmentation Proposals Using Global and Local Search. CVPR 2014: 2417-2424 - [c29]Andrea Vedaldi
, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu
, Iasonas Kokkinos, Matthew B. Blaschko
, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c28]Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Malin Akerfelt, Matthias Nees, Juho Kannala, Janne Heikkilä:
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach. ICPR 2014: 3345-3350 - [c27]Juha Ylioinas, Abdenour Hadid, Juho Kannala, Matti Pietikäinen:
An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition. ICPR 2014: 4471-4476 - [c26]Juha Ylioinas, Juho Kannala, Abdenour Hadid, Matti Pietikäinen:
Learning local image descriptors using binary decision trees. WACV 2014: 347-354 - 2013
- [c25]Daniel Herrera C., Juho Kannala, Peter F. Sturm, Janne Heikkilä:
A Learned Joint Depth and Intensity Prior Using Markov Random Fields. 3DV 2013: 17-24 - [c24]Matthew B. Blaschko
, Juho Kannala, Esa Rahtu
:
Non Maximal Suppression in Cascaded Ranking Models. SCIA 2013: 408-419 - [c23]Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä:
Depth Map Inpainting under a Second-Order Smoothness Prior. SCIA 2013: 555-566 - [c22]Tomi Kyöstilä, Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Merging Overlapping Depth Maps into a Nonredundant Point Cloud. SCIA 2013: 567-578 - [i1]Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew B. Blaschko, Andrea Vedaldi:
Fine-Grained Visual Classification of Aircraft. CoRR abs/1306.5151 (2013) - 2012
- [j3]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Joint Depth and Color Camera Calibration with Distortion Correction. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 2058-2064 (2012) - [c21]Weijia Feng, Juha Röning
, Juho Kannala, Xiaoning Zong, Baofeng Zhang:
A general model and calibration method for spherical stereoscopic vision. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 830107 - [c20]Juho Kannala, Esa Rahtu:
BSIF: Binarized statistical image features. ICPR 2012: 1363-1366 - [c19]Markus Ylimäki, Juho Kannala, Jukka Holappa, Janne Heikkilä, Sami S. Brandt:
Robust and accurate multi-view reconstruction by prioritized matching. ICPR 2012: 2673-2676 - 2011
- [c18]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Accurate and Practical Calibration of a Depth and Color Camera Pair. CAIP (2) 2011: 437-445 - [c17]Esa Rahtu
, Juho Kannala, Matthew B. Blaschko
:
Learning a category independent object detection cascade. ICCV 2011: 1052-1059 - [c16]Daniel Herrera C., Juho Kannala, Janne Heikkilä:
Multi-view Alpha Matte for Free Viewpoint Rendering. MIRAGE 2011: 98-109 - 2010
- [b1]Juho Kannala:
Models and methods for geometric computer vision. University of Oulu, Finland, 2010 - [c15]Esa Rahtu
, Juho Kannala, Mikko Salo, Janne Heikkilä:
Segmenting Salient Objects from Images and Videos. ECCV (5) 2010: 366-379 - [c14]Pekka Koskenkorva, Juho Kannala, Sami S. Brandt
:
Quasi-dense Wide Baseline Matching for Three Views. ICPR 2010: 806-809
2000 – 2009
- 2009
- [c13]Sami S. Brandt
, Pekka Koskenkorva, Juho Kannala, Anders Heyden:
Uncalibrated non-rigid factorisation with automatic shape basis selection. ICCV Workshops 2009: 352-359 - [c12]Esa Rahtu
, Jarno Nikkanen
, Juho Kannala, Leena Lepistö, Janne Heikkilä:
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy. ICIAP 2009: 873-882 - [c11]Juho Kannala, Esa Rahtu
, Sami S. Brandt
, Janne Heikkilä:
Dense and Deformable Motion Segmentation for Wide Baseline Images. SCIA 2009: 379-389 - 2008
- [j2]Juho Kannala, Sami S. Brandt
, Janne Heikkilä:
Measuring and modelling sewer pipes from video. Mach. Vis. Appl. 19(2): 73-83 (2008) - [c10]Juho Kannala, Esa Rahtu
, Sami S. Brandt
, Janne Heikkilä:
Object recognition and segmentation by non-rigid quasi-dense matching. CVPR 2008 - [c9]Juho Kannala, Sami S. Brandt, Janne Heikkilä:
Self-Calibration of Central Cameras by Minimizing Angular Error. VISAPP (1) 2008: 28-35 - [c8]Juho Kannala, Sami S. Brandt
, Janne Heikkilä:
Self-calibration of Central Cameras from Point Correspondences by Minimizing Angular Error. VISIGRAPP (Selected Papers) 2008: 109-122 - [p1]Juho Kannala, Janne Heikkilä, Sami S. Brandt
:
Geometric Camera Calibration. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [c7]Juho Kannala, Sami S. Brandt
:
Quasi-Dense Wide Baseline Matching Using Match Propagation. CVPR 2007 - 2006
- [j1]Juho Kannala, Sami S. Brandt
:
A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1335-1340 (2006) - [c6]Juho Kannala, Mikko Salo, Janne Heikkilä:
Algorithms for Computing a Planar Homography from Conics in Correspondence. BMVC 2006: 77-86 - [c5]Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
:
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP 2006: 457-467 - 2005
- [c4]Juho Kannala, Esa Rahtu
, Janne Heikkilä:
Affine registration with multi-scale autoconvolution. ICIP (3) 2005: 1064-1067 - [c3]Juho Kannala, Sami S. Brandt:
Measuring the Shape of Sewer Pipes from Video. MVA 2005: 237-240 - [c2]Juho Kannala, Esa Rahtu
, Janne Heikkilä, Mikko Salo:
A New Method for Affine Registration of Images and Point Sets. SCIA 2005: 224-234 - 2004
- [c1]Juho Kannala, Sami S. Brandt
:
A Generic Camera Calibration Method for Fish-Eye Lenses. ICPR (1) 2004: 10-13
Coauthor Index
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