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2020 – today
- 2025
[c141]Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin:
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. CVPR 2025: 722-732- [c140]Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar:
A Dataset for Semantic Segmentation in the Presence of Unknowns. CVPR 2025: 1439-1448 - [c139]Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen:
Multi-Scale Fusion for Object Representation. ICLR 2025 - [c138]Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu:
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. SCIA (2) 2025: 3-17 - [c137]Xuqian Ren, Juho Kannala, Esa Rahtu:
Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition. SCIA (1) 2025: 247-261 - [c136]Junyuan Fang, Zihan Wang, Yejun Zhang, Shuzhe Wang
, Iaroslav Melekhov, Juho Kannala:
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation. SCIA (1) 2025: 353-367 - [c135]Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala:
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. WACV 2025: 2421-2431 - [i104]Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink:
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. CoRR abs/2501.18592 (2025) - [i103]Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen:
Generalist World Model Pre-Training for Efficient Reinforcement Learning. CoRR abs/2502.19544 (2025) - [i102]Yejun Zhang, Shuzhe Wang, Juho Kannala:
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization. CoRR abs/2502.20036 (2025) - [i101]Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Vector-Quantized Vision Foundation Models for Object-Centric Learning. CoRR abs/2502.20263 (2025) - [i100]Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar:
A Dataset for Semantic Segmentation in the Presence of Unknowns. CoRR abs/2503.22309 (2025) - [i99]Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu:
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. CoRR abs/2504.01732 (2025) - [i98]Junyuan Fang, Zihan Wang, Yejun Zhang, Shuzhe Wang, Iaroslav Melekhov, Juho Kannala:
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation. CoRR abs/2504.14638 (2025) - [i97]Yinfan Wang, Jie Gui, Baosheng Yu, Qi Li, Zhenan Sun, Juho Kannala, Guoying Zhao:
FingerVeinSyn-5M: A Million-Scale Dataset and Benchmark for Finger Vein Recognition. CoRR abs/2506.03635 (2025) - 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) - [c134]Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. AAMAS 2024: 1047-1056 - [c133]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. BMVC 2024 - [c132]Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala:
Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization. BMVC 2024 - [c131]Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler:
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. CoRL 2024: 5184-5203 - [c130]Shuzhe Wang, Juho Kannala, Daniel Barath:
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. CVPR 2024: 20881-20891 - [c129]Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala:
Medical Image Segmentation with SAM-Generated Annotations. ECCV Workshops (22) 2024: 51-62 - [c128]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. ECCV (71) 2024: 160-177 - [c127]Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala:
Efficient NeRF Optimization - Not All Samples Remain Equally Hard. ECCV (36) 2024: 198-213 - [c126]Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin:
Sources of Uncertainty in 3D Scene Reconstruction. ECCV Workshops (17) 2024: 271-289 - [c125]Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala:
Differentiable Product Quantization for Memory Efficient Camera Relocalization. ECCV (85) 2024: 470-489 - [c124]Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen:
Optimistic Multi-Agent Policy Gradient. ICML 2024 - [c123]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. ICPR (17) 2024: 387-404 - [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 - [i96]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) - [i95]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) - [i94]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) - [i93]Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala:
Differentiable Product Quantization for Memory Efficient Camera Relocalization. CoRR abs/2407.15540 (2024) - [i92]Juuso Korhonen, Rangu Goutham, Hamed R. Tavakoli, Juho Kannala:
Efficient NeRF Optimization - Not All Samples Remain Equally Hard. CoRR abs/2408.03193 (2024) - [i91]Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler:
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. CoRR abs/2408.11048 (2024) - [i90]Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin:
Sources of Uncertainty in 3D Scene Reconstruction. CoRR abs/2409.06407 (2024) - [i89]Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala:
Medical Image Segmentation with SAM-generated Annotations. CoRR abs/2409.20253 (2024) - [i88]Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Multi-Scale Fusion for Object Representation. CoRR abs/2410.01539 (2024) - [i87]Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala:
Gaussian Splatting in Mirrors: Reflection-Aware Rendering via Virtual Camera Optimization. CoRR abs/2410.01614 (2024) - [i86]Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Grouped Discrete Representation for Object-Centric Learning. CoRR abs/2411.02299 (2024) - [i85]Xuqian Ren, Matias Turkulainen, Jiepeng Wang, Otto Seiskari, Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones. CoRR abs/2411.19271 (2024) - [i84]Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin:
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. CoRR abs/2411.19756 (2024) - [i83]Siyan Dong, Shuzhe Wang, Shaohui Liu, Lulu Cai, Qingnan Fan, Juho Kannala, Yanchao Yang:
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization. CoRR abs/2412.08376 (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 Andreas Lopi, 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 Andreas Lopi, 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 - [d3]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 1. Zenodo, 2018 [all versions]
- [d2]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 2. Zenodo, 2018 [all versions] - [d1]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. Version 3. Zenodo, 2018 [all versions] - [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
[c138] [c137] [c135] [i99] [c128] [c121] [i96] [i95] [i85] [c117] [i82] [i75] [c110] [c109] [c100] [i64] [i62] [c95] [c89] [i49] [c77] [c76] [i41] [i39] [i35] [c72] [c68] [c65] [c63] [c57] [c56] [d3] [d2] [d1] [i24] [i19] [i14] [c55] [c54] [i12] [i11] [i9] [i5] [i4] [c49] [c48] [c46] [i3] [c41] [c35] [c30] [c29] [c24] [i1] [c20] [c17] [c15] [c12] [c11] [c10] [c4] [c2]
[c141] [c138] [i103] [i99] [c128] [c126] [i96] [i90] [i84] [c116] [c115] [j8] [c113] [c110] [i73] [i71] [i68] [i66] [c99] [i65] [i62] [c94] [c92] [c90] [i51] [i50] [c85] [c84] [c78] [i44] [i38] [i37] [i34] [i29] [c73] [c71] [c68] [c65] [c64] [c59] [c56] [d3] [d2] [d1] [i27] [i22] [i21] [i19] [i17] [i11] [i5]
Hamed Rezazadegan Tavakoli
aka: Hamed R. Tavakoli
aka: Hamed R. Tavakoli
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