Object Classification with Multi-Scale Autoconvolution. - Esa Rahtu; Janne Heikkilä (ICPR (3), 2004)

Convexity Recognition Using Multi-Scale Autoconvolution. - Esa Rahtu; Mikko Salo; Janne Heikkilä (ICPR (1), 2004)

A New Efficient Method for Producing Global Affine Invariants. - Esa Rahtu; Mikko Salo; Janne Heikkilä (ICIAP, 2005)

Affine registration with multi-scale autoconvolution. - Juho Kannala; Esa Rahtu; Janne Heikkilä (ICIP (3), 2005)

A New Method for Affine Registration of Images and Point Sets. - Juho Kannala; Esa Rahtu; Janne Heikkilä; Mikko Salo (SCIA, 2005)

Affine Invariant Pattern Recognition Using Multiscale Autoconvolution. - Esa Rahtu; Mikko Salo; Janne Heikkilä (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

A New Affine Invariant Image Transform Based on Ridgelets. - Esa Rahtu; Janne Heikkilä; Mikko Salo (BMVC, 2006)

Multiscale Autoconvolution Histograms for Affine Invariant Pattern Recognition. - Esa Rahtu; Mikko Salo; Janne Heikkilä (BMVC, 2006)

Properties of Patch Based Approaches for the Recognition of Visual Object Classes. - Alexandra Teynor; Esa Rahtu; Lokesh Setia; Hans Burkhardt (DAGM-Symposium, 2006)

Generalized affine moment invariants for object recogntion. - Esa Rahtu; Mikko Salo; Janne Heikkilä; Jan Flusser (ICPR (2), 2006)

A New Convexity Measure Based on a Probabilistic Interpretation of Images. - Esa Rahtu; Mikko Salo; Janne Heikkilä (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Nonlinear Functionals in the Construction of Multiscale Affine Invariants. - Esa Rahtu; Mikko Salo; Janne Heikkilä (SCIA, 2007)

Object recognition and segmentation by non-rigid quasi-dense matching. - Juho Kannala; Esa Rahtu; Sami S. Brandt; Janne Heikkilä (CVPR, 2008)

Recognition of blurred faces using Local Phase Quantization. - Timo Ahonen; Esa Rahtu; Ville Ojansivu; Janne Heikkilä (ICPR, 2008)

Rotation invariant local phase quantization for blur insensitive texture analysis. - Ville Ojansivu; Esa Rahtu; Janne Heikkilä (ICPR, 2008)

A Simple and efficient saliency detector for background subtraction. - Esa Rahtu; Janne Heikkilä (ICCV Workshops, 2009)

Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy. - Esa Rahtu; Jarno Nikkanen; Juho Kannala; Leena Lepistö; Janne Heikkilä (ICIAP, 2009)

Dense and Deformable Motion Segmentation for Wide Baseline Images. - Juho Kannala; Esa Rahtu; Sami S. Brandt; Janne Heikkilä (SCIA, 2009)

Segmenting Salient Objects from Images and Videos. - Esa Rahtu; Juho Kannala; Mikko Salo; Janne Heikkilä (ECCV (5), 2010)

Improved Blur Insensitivity for Decorrelated Local Phase Quantization. - Janne Heikkilä; Ville Ojansivu; Esa Rahtu (ICPR, 2010)

Compressing Sparse Feature Vectors Using Random Ortho-Projections. - Esa Rahtu; Mikko Salo; Janne Heikkilä (ICPR, 2010)

The Structural Form in Image Categorization. - Juha Hanni; Esa Rahtu; Janne Heikkilä (VISAPP (2), 2010)

Learning a category independent object detection cascade. - Esa Rahtu; Juho Kannala; Matthew B. Blaschko (ICCV, 2011)

Real-Time Detection of Landscape Scenes. - Sami Huttunen; Esa Rahtu; Iivari Kunttu; Juuso Grén; Janne Heikkilä (SCIA, 2011)

Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification. - Juhani Päivärinta; Esa Rahtu; Janne Heikkilä (SCIA, 2011)

Watermark Recovery from a Dual Layer Hologram with a Digital Camera. - Anu Pramila; Anja Keskinarkaus; Esa Rahtu; Tapio Seppänen (SCIA, 2011)

Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (SCIA, 2011)

Temporal Saliency for Fast Motion Detection. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ACCV Workshops (1), 2012)

TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. - Yuning Chai; Esa Rahtu; Victor S. Lempitsky; Luc Van Gool; Andrew Zisserman (ECCV (1), 2012)

BSIF: Binarized statistical image features. - Juho Kannala; Esa Rahtu (ICPR, 2012)

Local phase quantization for blur-insensitive image analysis. - Esa Rahtu; Janne Heikkilä; Ville Ojansivu; Timo Ahonen (Image Vis. Comput., 2012)

Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ACIVS, 2013)

Non Maximal Suppression in Cascaded Ranking Models. - Matthew B. Blaschko; Juho Kannala; Esa Rahtu (SCIA, 2013)

Saliency Detection Using Joint Temporal and Spatial Decorrelation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (SCIA, 2013)

Fine-Grained Visual Classification of Aircraft. - Subhransu Maji; Esa Rahtu; Juho Kannala; Matthew B. Blaschko; Andrea Vedaldi (CoRR, 2013)

Stochastic bottom-up fixation prediction and saccade generation. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (Image Vis. Comput., 2013)

Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow. - Jie Chen 001; Guoying Zhao 001; Mikko Salo; Esa Rahtu; Matti Pietikäinen (IEEE Trans. Image Process., 2013)

Local Phase Quantization for Blur Insensitive Texture Description. - Janne Heikkilä; Esa Rahtu; Ville Ojansivu (Local Binary Patterns, 2013)

Generating Object Segmentation Proposals Using Global and Local Search. - Pekka Rantalankila; Juho Kannala; Esa Rahtu (CVPR, 2014)

Understanding Objects in Detail with Fine-Grained Attributes. - 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; et al. (CVPR, 2014)

An O(n log n) Cutting Plane Algorithm for Structured Output Ranking. - Matthew B. Blaschko; Arpit Mittal; Esa Rahtu (GCPR, 2014)

Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Janne Heikkilä (ECCV Workshops (2), 2014)

Emotional Valence Recognition, Analysis of Salience and Eye Movements. - Hamed Rezazadegan Tavakoli; Victoria Yanulevskaya; Esa Rahtu; Janne Heikkilä; Nicu Sebe (ICPR, 2014)

Total Cluster: A person agnostic clustering method for broadcast videos. - Makarand Tapaswi; Omkar M. Parkhi; Esa Rahtu; Eric Sommerlade; Rainer Stiefelhagen; Andrew Zisserman (ICVGIP, 2014)

Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. - Marko Linna; Juho Kannala; Esa Rahtu (ACIVS, 2015)

Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. - Simo Särkkä; Ville Tolvanen; Juho Kannala; Esa Rahtu (IPIN, 2015)

Image Patch Matching Using Convolutional Descriptors with Euclidean Distance. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (ACCV Workshops (3), 2016)

Video Summarization Using Deep Semantic Features. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Naokazu Yokoya (ACCV (5), 2016)

Learning Joint Representations of Videos and Sentences with Web Image Search. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Naokazu Yokoya (ECCV Workshops (1), 2016)

Robust loop closures for scene reconstruction by combining odometry and visual correspondences. - Zakaria Laskar; Sami Huttunen; Daniel Herrera C.; Esa Rahtu; Juho Kannala (ICIP, 2016)

Siamese network features for image matching. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (ICPR, 2016)

On the Contribution of Saliency in Visual Tracking. - Iman Alikhani; Hamed Rezazadegan Tavakoli; Esa Rahtu; Jorma Laaksonen (VISIGRAPP (4: VISAPP), 2016)

Real-time Human Pose Estimation from Video with Convolutional Neural Networks. - Marko Linna; Juho Kannala; Esa Rahtu (CoRR, 2016)

Relative Camera Pose Estimation Using Convolutional Neural Networks. - Iaroslav Melekhov; Juha Ylioinas; Juho Kannala; Esa Rahtu (ACIVS, 2017)

Image-Based Localization Using Hourglass Networks. - Iaroslav Melekhov; Juha Ylioinas; Juho Kannala; Esa Rahtu (ICCV Workshops, 2017)

A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Simo Saarakkala (SCIA (2), 2017)

Relative Camera Pose Estimation Using Convolutional Neural Networks. - Iaroslav Melekhov; Juho Kannala; Esa Rahtu (CoRR, 2017)

Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. - Hamed Rezazadegan Tavakoli; Jorma Laaksonen; Esa Rahtu (CoRR, 2017)

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Petri Lehenkari; Simo Saarakkala (CoRR, 2017)

Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. - Hamed Rezazadegan Tavakoli; Ali Borji; Jorma Laaksonen; Esa Rahtu (Neurocomputing, 2017)

Learning Image-to-Image Translation Using Paired and Unpaired Training Samples. - Soumya Tripathy; Juho Kannala; Esa Rahtu (ACCV (2), 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (ECCV (10), 2018)

Inertial Odometry on Handheld Smartphones. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (FUSION, 2018)

Bottom-Up Attention Guidance for Recurrent Image Recognition. - Hamed R. Tavakoli; Ali Borji; Rao Muhammad Anwer; Esa Rahtu; Juho Kannala (ICIP, 2018)

Real-time Human Pose Estimation with Convolutional Neural Networks. - Marko Linna; Juho Kannala; Esa Rahtu (VISIGRAPP (5: VISAPP), 2018)

PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (WACV, 2018)

Summarization of User-Generated Sports Video by Using Deep Action Recognition Features. - Antonio Tejero-de-Pablos; Yuta Nakashima; Tomokazu Sato; Naokazu Yokoya; Marko Linna; Esa Rahtu (IEEE Trans. Multim., 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

Rethinking the Evaluation of Video Summaries. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä (CVPR, 2019)

MLAttack: Fooling Semantic Segmentation Networks by Multi-layer Attacks. - Puneet Gupta 002; Esa Rahtu (GCPR, 2019)

CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising. - Puneet Gupta; Esa Rahtu (ICCV, 2019)

Predicting Novel Views Using Generative Adversarial Query Network. - Phong Nguyen-Ha 001; Lam Huynh; Esa Rahtu; Janne Heikkilä (SCIA, 2019)

DGC-Net: Dense Geometric Correspondence Network. - Iaroslav Melekhov; Aleksei Tiulpin; Torsten Sattler; Marc Pollefeys; Esa Rahtu; Juho Kannala (WACV, 2019)

Digging Deeper Into Egocentric Gaze Prediction. - Hamed Rezazadegan Tavakoli; Esa Rahtu; Juho Kannala; Ali Borji (WACV, 2019)

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - Aleksei Tiulpin; Stefan Klein; Sita M. A. Bierma-Zeinstra; Jérôme Thevenot; Esa Rahtu; Joyce van Meurs; Edwin H. G. Oei; Simo Saarakkala (CoRR, 2019)

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. - Hamed R. Tavakoli; Ali Borji; Esa Rahtu; Juho Kannala (CoRR, 2019)

Visually Guided Sound Source Separation Using Cascaded Opponent Filter Network. - Lingyu Zhu 001; Esa Rahtu (ACCV (6), 2020)

Sequential View Synthesis with Transformer. - Phong Nguyen-Ha 001; Lam Huynh; Esa Rahtu; Janne Heikkilä (ACCV (4), 2020)

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer. - Vladimir Iashin; Esa Rahtu (BMVC, 2020)

Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä (BMVC, 2020)

Multi-modal Dense Video Captioning. - Vladimir Iashin; Esa Rahtu (CVPR Workshops, 2020)

End-to-End Learning for Video Frame Compression with Self-Attention. - Nannan Zou; Honglei Zhang; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (CVPR Workshops, 2020)

Guiding Monocular Depth Estimation Using Depth-Attention Volume. - Lam Huynh; Phong Nguyen-Ha 001; Jiri Matas; Esa Rahtu; Janne Heikkilä (ECCV (26), 2020)

Deep Audio-Visual Saliency: Baseline Model and Data. - Hamed Rezazadegan Tavakoli; Ali Borji; Juho Kannala; Esa Rahtu (ETRA Short Papers, 2020)

Deep Learning Off-the-shelf Holistic Feature Descriptors for Visual Place Recognition in Challenging Conditions. - Farid Alijani; Esa Rahtu (MMSP, 2020)

L2C - Learning to Learn to Compress. - Nannan Zou; Honglei Zhang; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Miska M. Hannuksela; Emre Aksu; Esa Rahtu (MMSP, 2020)

ICface: Interpretable and Controllable Face Reenactment Using GANs. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2020)

Sequential Neural Rendering with Transformer. - Phong Nguyen-Ha 001; Lam Huynh; Esa Rahtu; Janne Heikkilä (CoRR, 2020)

Separating Sounds from a Single Image. - Lingyu Zhu 001; Esa Rahtu (CoRR, 2020)

Automated Video Face Labelling for Films and TV Material. - Omkar M. Parkhi; Esa Rahtu; Qiong Cao; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. - Lam Huynh; Matteo Pedone; Phong Nguyen 001; Jiri Matas; Esa Rahtu; Janne Heikkilä (3DV, 2021)

RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. - Phong Nguyen 001; Animesh Karnewar; Lam Huynh; Esa Rahtu; Jiri Matas; Janne Heikkilä (3DV, 2021)

Taming Visually Guided Sound Generation. - Vladimir Iashin; Esa Rahtu (BMVC, 2021)

Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. - Nannan Zou; Honglei Zhang; Francesco Cricri; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (CVPR Workshops, 2021)

Leveraging Category Information for Single-Frame Visual Sound Source Separation. - Lingyu Zhu 001; Esa Rahtu (EUVIP, 2021)

Sample Selection for Efficient Image Annotation. - Bishwo Adhikari; Esa Rahtu; Heikki Huttunen (EUVIP, 2021)

Selective Probabilistic Classifier Based on Hypothesis Testing. - Saeed Bakhshi Germi; Esa Rahtu; Heikki Huttunen (EUVIP, 2021)

FlipReID: Closing the Gap Between Training and Inference in Person Re-Identification. - Xingyang Ni; Esa Rahtu (EUVIP, 2021)

Automatic Dataset Generation From CAD for Vision-Based Grasping. - Saad Ahmad; Kulunu Samarawickrama; Esa Rahtu; Roel Pieters (ICAR, 2021)

Image Coding For Machines: an End-To-End Learned Approach. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Esa Rahtu (ICASSP, 2021)

Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. - Lam Huynh; Phong Nguyen 001; Jirí Matas; Esa Rahtu; Janne Heikkilä (ICCV, 2021)

On the Importance of Encrypting Deep Features. - Xingyang Ni; Heikki Huttunen; Esa Rahtu (ICCVW, 2021)

Learned Image Coding for Machines: A Content-Adaptive Approach. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Esa Rahtu (ICME, 2021)

Evaluation of Long-term LiDAR Place Recognition. - Jukka Peltomäki; Farid Alijani; Jussi Puura; Heikki Huttunen; Esa Rahtu; Joni-Kristian Kämäräinen (IROS, 2021)

Learned Enhancement Filters for Image Coding for Machines. - Jukka I. Ahonen; Ramin Ghaznavi Youvalari; Nam Le 003; Honglei Zhang; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Content-adaptive convolutional neural network post-processing filter. - María Santamaría 001; Yat-Hong Lam; Francesco Cricri; Jani Lainema; Ramin Ghaznavi Youvalari; Honglei Zhang; Miska M. Hannuksela; Esa Rahtu; Moncef Gabbouj (ISM, 2021)

Enhancing Image Coding for Machines with Compressed Feature Residuals. - Joni Seppälä; Honglei Zhang; Nam Le 003; Ramin Ghaznavi Youvalari; Francesco Cricri; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Adaptation and Attention for Neural Video Coding. - Nannan Zou; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed R. Tavakoli; Jani Lainema; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ISM, 2021)

Towards a Real-Time Facial Analysis System. - Bishwo Adhikari; Xingyang Ni; Esa Rahtu; Heikki Huttunen (MMSP, 2021)

Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition. - Farid Alijani; Esa Rahtu (MMSP, 2021)

Effect of Label Noise on Robustness of Deep Neural Network Object Detectors. - Bishwo Adhikari; Jukka Peltomäki; Saeed Bakhshi Germi; Esa Rahtu; Heikki Huttunen (SAFECOMP Workshops, 2021)

FACEGAN: Facial Attribute Controllable rEenactment GAN. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2021)

Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data. - Adam Ligocki; Ales Jelinek; Ludek Zalud; Esa Rahtu (Sensors, 2021)

SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. - Dingding Cai; Janne Heikkilä; Esa Rahtu (3DV, 2022)

A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms. - Saeed Bakhshi Germi; Esa Rahtu (SafeAI@AAAI, 2022)

Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors. - Vladimir Iashin; Weidi Xie; Esa Rahtu; Andrew Zisserman (BMVC, 2022)

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration. - Amir Mehman Sefat; Alexandre Angleraud; Esa Rahtu; Roel Pieters (CASE, 2022)

OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. - Dingding Cai; Janne Heikkilä; Esa Rahtu (CVPR, 2022)

Optimal Correction Cost for Object Detection Evaluation. - Mayu Otani; Riku Togashi; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Shin'ichi Satoh 001 (CVPR, 2022)

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. - Riku Togashi; Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Tetsuya Sakai (CVPR, 2022)

Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification. - Saeed Bakhshi Germi; Esa Rahtu (ICIAP (1), 2022)

Online Panoptic 3D Reconstruction as a Linear Assignment Problem. - Leevi Raivio; Esa Rahtu (ICIAP (2), 2022)

Bridging the Gap Between Image Coding for Machines and Humans. - Nam Le 003; Honglei Zhang; Francesco Cricri; Ramin Ghaznavi Youvalari; Hamed Rezazadegan Tavakoli; Emre Aksu; Miska M. Hannuksela; Esa Rahtu (ICIP, 2022)

Long-term Visual Place Recognition. - Farid Alijani; Jukka Peltomäki; Jussi Puura; Heikki Huttunen; Joni-Kristian Kämäräinen; Esa Rahtu (ICPR, 2022)

TPSAD: Learning to Detect and Localize Anomalies With Thin Plate Spline Transformation. - Afshin Dini; Esa Rahtu (ICPR, 2022)

The Lottery Ticket Adaptation for Neural Video Coding. - Nannan Zou; Francesco Cricri; Honglei Zhang; Hamed R. Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2022)

Evaluation of Long-term Deep Visual Place Recognition. - Farid Alijani; Jukka Peltomäki; Jussi Puura; Heikki Huttunen; Joni-Kristian Kämäräinen; Esa Rahtu (VISIGRAPP (5: VISAPP), 2022)

Evaluation of RGB and LiDAR Combination for Robust Place Recognition. - Farid Alijani; Jukka Peltomäki; Jussi Puura; Heikki Huttunen; Joni-Kristian Kämäräinen; Esa Rahtu (VISIGRAPP (5: VISAPP), 2022)

SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion. - Juan Pablo Lagos; Esa Rahtu (VISIGRAPP (5: VISAPP), 2022)

Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations. - Lingyu Zhu 001; Esa Rahtu (WACV, 2022)

V-SlowFast Network for Efficient Visual Sound Separation. - Lingyu Zhu 001; Esa Rahtu (WACV, 2022)

Lightweight Monocular Depth with a Novel Neural Architecture Search Method. - Lam Huynh; Phong Nguyen 001; Jirí Matas; Esa Rahtu; Janne Heikkilä (WACV, 2022)

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. - Otto Seiskari; Pekka Rantalankila; Juho Kannala; Jerry Ylilammi; Esa Rahtu; Arno Solin (WACV, 2022)

Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. - Soumya Tripathy; Juho Kannala; Esa Rahtu (WACV, 2022)

FATALRead - Fooling visual speech recognition models. - Anup Kumar Gupta; Puneet Gupta 002; Esa Rahtu (Appl. Intell., 2022)

Fast Neural Architecture Search for Lightweight Dense Prediction Networks. - Lam Huynh; Esa Rahtu; Jiri Matas; Janne Heikkilä (CoRR, 2022)

Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision. - Lingyu Zhu 001; Esa Rahtu; Hang Zhao (CoRR, 2022)

HRF-Net: Holistic Radiance Fields from Sparse Inputs. - Phong Nguyen-Ha 001; Lam Huynh; Esa Rahtu; Jiri Matas; Janne Heikkilä (CoRR, 2022)

Momentum Adapt: Robust Unsupervised Adaptation for Improving Temporal Consistency in Video Semantic Segmentation During Test-Time. - Amirhossein Hassankhani; Hamed Rezazadegan Tavakoli; Esa Rahtu (BMVC, 2023)

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. - Mayu Otani; Riku Togashi; Yu Sawai; Ryosuke Ishigami; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Shin'ichi Satoh 001 (CVPR, 2023)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (ISM, 2023)

Region of Interest Enabled Learned Image Coding for Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Francesco Cricri; Esa Rahtu (MMSP, 2023)

MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation. - Dingding Cai; Janne Heikkilä; Esa Rahtu (SCIA (2), 2023)

TAU-Indoors Dataset for Visual and LiDAR Place Recognition. - Atakan Dag; Farid Alijani; Jukka Peltomäki; Lauri Suomela; Esa Rahtu; Harry Edelman; Joni-Kristian Kämäräinen (SCIA (2), 2023)

FinnWoodlands Dataset. - Juan Pablo Lagos; Urho Lempiö; Esa Rahtu (SCIA (1), 2023)

BS3D: Building-Scale 3D Reconstruction from RGB-D Images. - Janne Mustaniemi; Juho Kannala; Esa Rahtu; Li Liu 002; Janne Heikkilä (SCIA (2), 2023)

LiDAR Place Recognition Evaluation with the Oxford Radar RobotCar Dataset Revised. - Jukka Peltomäki; Farid Alijani; Jussi Puura; Heikki Huttunen; Esa Rahtu; Joni-Kristian Kämäräinen (SCIA (1), 2023)

Visual Anomaly Detection and Localization with a Patch-Wise Transformer and Convolutional Model. - Afshin Dini; Esa Rahtu (VISIGRAPP (5: VISAPP), 2023)

IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification. - Saeed Bakhshi Germi; Esa Rahtu (VISIGRAPP (5: VISAPP), 2023)

PanDepth: Joint Panoptic Segmentation and Depth Completion. - Juan Pablo Lagos; Esa Rahtu (VISIGRAPP (5: VISAPP), 2023)

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. - Otto Seiskari; Jerry Ylilammi; Valtteri Kaatrasalo; Pekka Rantalankila; Matias Turkulainen; Juho Kannala; Esa Rahtu; Arno Solin (ECCV (71), 2024)

Synchformer: Efficient Synchronization From Sparse Cues. - Vladimir Iashin; Weidi Xie; Esa Rahtu; Andrew Zisserman (ICASSP, 2024)

Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing. - Afshin Dini; Marja Mettänen; Esa Rahtu (VISIGRAPP (2): VISAPP, 2024)

Detecting Anomalies in Textured Images Using Modified Transformer Masked Autoencoder. - Afshin Dini; Esa Rahtu (VISIGRAPP (2): VISAPP, 2024)

MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis. - Xuqian Ren; Wenjia Wang; Dingding Cai; Tuuli Tuominen; Juho Kannala; Esa Rahtu (WACV, 2024)

GS-Pose: Cascaded Framework for Generalizable Segmentation-based 6D Object Pose Estimation. - Dingding Cai; Janne Heikkilä; Esa Rahtu (CoRR, 2024)

Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis. - Phong Nguyen 001; Lam Huynh; Esa Rahtu; Jiri Matas; Janne Heikkilä (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NN-VVC: A Hybrid Learned-Conventional Video Codec Targeting Humans and Machines. - Jukka I. Ahonen; Nam Le 003; Honglei Zhang; Antti Hallapuro; Francesco Cricri; Hamed Rezazadegan Tavakoli; Miska M. Hannuksela; Esa Rahtu (Int. J. Semantic Comput., 2024)

GS-Pose: Generalizable Segmentation-Based 6D Object Pose Estimation with 3D Gaussian Splatting. - Dingding Cai; Janne Heikkilä; Esa Rahtu (3DV, 2025)

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones. - Xuqian Ren; Matias Turkulainen; Jiepeng Wang 001; Otto Seiskari; Iaroslav Melekhov; Juho Kannala; Esa Rahtu (3DV, 2025)

Temporally Aligned Audio for Video with Autoregression. - Ilpo Viertola; Vladimir Iashin; Esa Rahtu (ICASSP, 2025)

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. - Ulas Gunes; Matias Turkulainen; Xuqian Ren; Arno Solin; Juho Kannala; Esa Rahtu (SCIA (2), 2025)

The Weighting Game: Evaluating Quality of Explainability Methods. - Lassi Raatikainen; Esa Rahtu (SCIA (2), 2025)

Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition. - Xuqian Ren; Juho Kannala; Esa Rahtu (SCIA (1), 2025)

Deep Local Feature Matching Image Anomaly Detection with Patch Adaptive Average Pooling Technique. - Afshin Dini; Esa Rahtu (VISIGRAPP (2): VISAPP, 2025)

Heterogeneous Datasets for Unsupervised Image Anomaly Detection. - Juan Pablo Lagos; Haider Ali; Adnan Faroque; Esa Rahtu (WACV, 2025)

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. - Matias Turkulainen; Xuqian Ren; Iaroslav Melekhov; Otto Seiskari; Esa Rahtu; Juho Kannala (WACV, 2025)

UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM. - Mostafa Mansour; Ahmed Abdelsalam; Ari Happonen; Jari Porras; Esa Rahtu (Array, 2025)

Evaluating Fisheye-Compatible 3D Gaussian Splatting Methods on Real Images Beyond 180 Degree Field of View. - Ulas Gunes; Matias Turkulainen; Juho Kannala; Esa Rahtu (CoRR, 2025)