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2020 – today
- 2023
[i75]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR abs/2301.01057 (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) - [c111]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 - [c110]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 - [c109]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 - [c108]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
- [c107]Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala:
Digging Into Self-Supervised Learning of Feature Descriptors. 3DV 2021: 1144-1155 - [c106]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 - [c105]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [c104]Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. EUSIPCO 2021: 1725-1729 - [c103]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 - [c102]Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. ICASSP 2021: 4635-4639 - [c101]Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala:
Continual Learning for Image-Based Camera Localization. ICCV 2021: 3232-3242 - [c100]Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala:
Bridging the Gap Between Paired and Unpaired Medical Image Translation. DGM4MICCAI/DALI@MICCAI 2021: 35-44 - [c99]Soumya Tripathy, Juho Kannala, Esa Rahtu:
FACEGAN: Facial Attribute Controllable rEenactment GAN. WACV 2021: 1328-1337 - [c98]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
- [c97]Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. ACCV (1) 2020: 469-484 - [c96]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 - [c95]Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala:
Hierarchical Scene Coordinate Classification and Regression for Visual Localization. CVPR 2020: 11980-11989 - [c94]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 - [c93]Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin:
Movement-induced Priors for Deep Stereo. ICPR 2020: 3628-3635 - [c92]Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. ICPR 2020: 5004-5011 - [c91]Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. NeurIPS 2020 - [c90]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 - [c89]Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV 2020: 3109-3118 - [c88]Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. WACV 2020: 3374-3383 - [c87]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
- [c86]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 - [c85]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRL 2019: 182-191 - [c84]Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin:
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION 2019: 1-8 - [c83]Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. ICCV 2019: 2651-2660 - [c82]Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-supervised Learning. IJCAI 2019: 3635-3641 - [c81]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. IJCNN 2019: 1-7 - [c80]Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. ISBI 2019: 208-212 - [c79]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 - [c78]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 - [c77]Yuxin Hou, Arno Solin, Juho Kannala:
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. SCIA 2019: 54-66 - [c76]Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. WACV 2019: 273-282 - [c75]Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. WACV 2019: 1034-1042 - [c74]Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. WACV 2019: 1061-1069 - [c73]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
- [c72]Ari Heljakka, Arno Solin, Juho Kannala:
Pioneer Networks: Progressively Growing Generative Autoencoder. ACCV (1) 2018: 22-38 - [c71]Soumya Tripathy, Juho Kannala, Esa Rahtu:
Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. ACCV (2) 2018: 51-66 - [c70]Ari Heljakka, Arno Solin, Juho Kannala:
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. ACIVS 2018: 309-320 - [c69]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. AIST 2018: 141-152 - [c68]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 - [c67]Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An Authentic Dataset for Visual-Inertial Odometry. ECCV (10) 2018: 425-440 - [c66]Zakaria Laskar, Juho Kannala:
Semi-supervised Semantic Matching. ECCV Workshops (3) 2018: 444-455 - [c65]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 - [c64]Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
Inertial Odometry on Handheld Smartphones. FUSION 2018: 1-5 - [c63]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Robust Gyroscope-Aided Camera Self-Calibration. FUSION 2018: 772-779 - [c62]Hamed R. Tavakoli, Ali Borji, Rao Muhammad Anwer, Esa Rahtu, Juho Kannala:
Bottom-Up Attention Guidance for Recurrent Image Recognition. ICIP 2018: 3004-3008 - [c61]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 - [c60]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 - [c59]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 - [c58]Santiago Cortés Reina, Arno Solin, Juho Kannala:
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. MLSP 2018: 1-6 - [c57]Xiaotian Li, Juha Ylioinas, Juho Kannala:
Full-Frame Scene Coordinate Regression for Image-Based Localization. Robotics: Science and Systems 2018 - [c56]Marko Linna, Juho Kannala, Esa Rahtu:
Real-time Human Pose Estimation with Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2018: 335-342 - [c55]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
- [c54]