Janne Heikkilä

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 107

Top Venues

Publications

Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
BS3D: Building-Scale 3D Reconstruction from RGB-D Images. SCIA (2) (2023)
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu
Unbiased Scene Graph Generation via Two-Stage Causal Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Uy Dieu Tran, Minh Luu, Phong Nguyen, Janne Heikkilä, Khoi Nguyen, Binh-Son Hua
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding. CoRR (2023)
Snehal Bhayani, Praneeth Susarla, S. S. Krishna Chaitanya Bulusu, Olli Silvén, Markku J. Juntti, Janne Heikkilä
A Novel Application of Polynomial Solvers in mmWave Analog Radio Beamforming. CoRR (2023)
Dingding Cai, Janne Heikkilä, Esa Rahtu
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. SCIA (2) (2023)
Snehal Bhayani, Praneeth Susarla, S. S. Krishna Chaitanya Bulusu, Olli Silvén, Markku J. Juntti, Janne Heikkilä
A Novel Application of Polynomial Solvers in mmWave Analog Radio Beamforming. ACM Commun. Comput. Algebra 57 (3) (2023)
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu
Unbiased Scene Graph Generation via Two-stage Causal Modeling. CoRR (2023)
Snehal Bhayani, Torsten Sattler, Viktor Larsson, Janne Heikkilä, Zuzana Kukelova
Partially calibrated semi-generalized pose from hybrid point correspondences. WACV (2023)
Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CoRR (2023)
Dingding Cai, Janne Heikkilä, Esa Rahtu
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. CoRR (2023)
Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix. CoRR (2023)
Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR (2023)
Sanna Järvelä, Guoying Zhao, Janne Heikkilä, Hanna Järvenoja, Kristina Mikkonen, Satu Kaleva
Hybrid Intelligence - Human-AI Co-Evolution and Learning in Multirealities (HI). HHAI (2023)
Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CVPR (2023)
Shuzhou Sun, Shuaifeng Zhi, Janne Heikkilä, Li Liu
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation. ICLR (2023)
Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR (2022)
Snehal Bhayani, Viktor Larsson, Torsten Sattler, Janne Heikkilä, Zuzana Kukelova
Partially calibrated semi-generalized pose from hybrid point correspondences. CoRR (2022)
Dingding Cai, Janne Heikkilä, Esa Rahtu
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. 3DV (2022)
Dingding Cai, Janne Heikkilä, Esa Rahtu
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CVPR (2022)
Nadir Bengana, Janne Mustaniemi, Janne Heikkilä
Seeking Attention: Using Full Context Transformers for Better Disparity Estimation. ICPRAI (1) (2022)
Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh
Optimal Correction Cost for Object Detection Evaluation. CVPR (2022)
Ahmed Alhawwary, Janne Mustaniemi, Janne Heikkilä
PatchFlow: A Two-Stage Patch-Based Approach for Lightweight Optical Flow Estimation. ACCV (7) (2022)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
HRF-Net: Holistic Radiance Fields from Sparse Inputs. CoRR (2022)
Dingding Cai, Janne Heikkilä, Esa Rahtu
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. CoRR (2022)
Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung
Free-Viewpoint RGB-D Human Performance Capture and Rendering. ECCV (16) (2022)
Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. WACV (2022)
Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh
Optimal Correction Cost for Object Detection Evaluation. CoRR (2022)
Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä
Learning-Based Non-rigid Video Depth Estimation Using Invariants to Generalized Bas-Relief Transformations. J. Math. Imaging Vis. 64 (9) (2022)
Dingding Cai, Janne Heikkilä, Esa Rahtu
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. CoRR (2022)
Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
Fast Neural Architecture Search for Lightweight Dense Prediction Networks. CoRR (2022)
Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR (2022)
Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. CoRR (2021)
Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova
Calibrated and Partially Calibrated Semi-Generalized Homographies. CoRR (2021)
Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. CoRR (2021)
Nadir Bengana, Janne Heikkilä
Improving Land Cover Segmentation Across Satellites Using Domain Adaptation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. ICCV (2021)
Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. 3DV (2021)
Phong Nguyen, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung
Human View Synthesis using a Single Sparse RGB-D Input. CoRR (2021)
Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. 3DV (2021)
Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova
Calibrated and Partially Calibrated Semi-Generalized Homographies. ICCV (2021)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. BMVC (2020)
Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä
Guiding Monocular Depth Estimation Using Depth-Attention Volume. ECCV (26) (2020)
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
A Sparse Resultant Based Method for Efficient Minimal Solvers. CVPR (2020)
Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. CoRR (2020)
Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä
Guiding Monocular Depth Estimation Using Depth-Attention Volume. CoRR (2020)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä
Sequential View Synthesis with Transformer. ACCV (4) (2020)
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. BMVC (2020)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä
Sequential Neural Rendering with Transformer. CoRR (2020)
Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR (2020)
Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä
Learning non-rigid surface reconstruction from spatio-temporal image patches. CoRR (2020)
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Computing stable resultant-based minimal solvers by hiding a variable. ICPR (2020)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. CoRR (2020)
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Computing stable resultant-based minimal solvers by hiding a variable. CoRR (2020)
Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä
Learning non-rigid surface reconstruction from spatia-temporal image patches. ICPR (2020)
Sercan Türkmen, Janne Heikkilä
An Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions. SCIA (2019)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä
Predicting Novel Views Using Generative Adversarial Query Network. CoRR (2019)
Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkilä, Wenming Zheng
Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding. IEEE Trans. Multim. 21 (7) (2019)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä
Rethinking the Evaluation of Video Summaries. CVPR (2019)
Nadir Bengana, Janne Heikkilä
Improving land cover segmentation across satellites using domain adaptation. CoRR (2019)
Zalan Rajna, Lauri Raitamaa, Timo Tuovinen, Janne Heikkilä, Vesa Kiviniemi, Tapio Seppänen
3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain. IEEE Trans. Medical Imaging 38 (9) (2019)
Sercan Türkmen, Janne Heikkilä
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions. CoRR (2019)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä
Predicting Novel Views Using Generative Adversarial Query Network. SCIA (2019)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä
Rethinking the Evaluation of Video Summaries. CoRR (2019)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Gyroscope-Aided Motion Deblurring with Deep Networks. WACV (2019)
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
A sparse resultant based method for efficient minimal solvers. CoRR (2019)
Liang Wu, Qian Xu, Janne Heikkilä, Zijun Zhao, Liwei Liu, Yali Niu
A Star Sensor On-Orbit Calibration Method Based on Singular Value Decomposition. Sensors 19 (15) (2019)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Inertial-aided Motion Deblurring with Deep Networks. CoRR (2018)
Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR (2018)
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
- Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. CoRR (2018)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. CoRR (2018)
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)
Markus Ylimäki, Juho Kannala, Janne Heikkilä
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. CoRR (2018)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. ICPR (2018)
Xiaochao Zhao, Yaping Lin, Janne Heikkilä
Dynamic Texture Recognition Using Volume Local Binary Count Patterns With an Application to 2D Face Spoofing Detection. IEEE Trans. Multim. 20 (3) (2018)
Markus Ylimäki, Janne Heikkilä, Juho Kannala
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. ICPR (2018)
Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Janne Heikkilä
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks. ICCV Workshops (2017)
Lei Xie, Janne Heikkilä, Bo Li
Media computing and applications for immersive communications: recent advances. J. Ambient Intell. Humaniz. Comput. 8 (6) (2017)
Xiaochao Zhao, Yaping Lin, Janne Heikkilä
Dynamic texture recognition using multiscale PCA-learned filters. ICIP (2017)
Janne Heikkilä
Using Sparse Elimination for Solving Minimal Problems in Computer Vision. ICCV (2017)
Markus Ylimäki, Juho Kannala, Janne Heikkilä
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras. SCIA (1) (2017)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Inertial-based scale estimation for structure from motion on mobile devices. IROS (2017)
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
Cell Tracking via Proposal Generation and Selection. CoRR (2017)
Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä
Deep learning for magnification independent breast cancer histopathology image classification. ICPR (2016)
Daniel Herrera C., Juho Kannala, Janne Heikkilä
Forget the checkerboard: Practical self-calibration using a planar scene. WACV (2016)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya
Video Summarization Using Deep Semantic Features. ACCV (5) (2016)
Janne Mustaniemi, Juho Kannala, Janne Heikkilä
Parallax correction via disparity estimation in a multi-aperture camera. Mach. Vis. Appl. 27 (8) (2016)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya
Learning Joint Representations of Videos and Sentences with Web Image Search. ECCV Workshops (1) (2016)
Lei Xie, Longbiao Wang, Janne Heikkilä, Peng Zhang
Guest Editorial: Immersive Audio/Visual Systems. Multim. Tools Appl. 75 (9) (2016)
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
Joint cell segmentation and tracking using cell proposals. ISBI (2016)
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
Cell proposal network for microscopy image analysis. ICIP (2016)
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices. CoRR (2016)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya
Video Summarization using Deep Semantic Features. CoRR (2016)
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya
Learning Joint Representations of Videos and Sentences with Web Image Search. CoRR (2016)
K. K. Srikrishna Bhat, Utpala Musti, Janne Heikkilä
Geometry based exhaustive line correspondence determination. ICRA (2016)
Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä
Cell Segmentation Proposal Network for Microscopy Image Analysis. LABELS/DLMIA@MICCAI (2016)
Anja Keskinarkaus, Sami Huttunen, Antti Siipo, Jukka Holappa, Magda Laszlo, Ilkka Juuso, Eero Väyrynen, Janne Heikkilä, Matti Lehtihalmes, Tapio Seppänen, Seppo J. Laukka
MORE - a multimodal observation and analysis system for social interaction research. Multim. Tools Appl. 75 (11) (2016)
Neslihan Bayramoglu, Janne Heikkilä
Transfer Learning for Cell Nuclei Classification in Histopathology Images. ECCV Workshops (3) (2016)
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)
Neslihan Bayramoglu, Juho Kannala, Janne Heikkilä
Human Epithelial Type 2 cell classification with convolutional neural networks. BIBE (2015)
Matteo Pedone, Eduardo Bayro-Corrochano, Jan Flusser, Janne Heikkilä
Quaternion Wiener Deconvolution for Noise Robust Color Image Registration. IEEE Signal Process. Lett. 22 (9) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Janne Heikkilä