b'Juho Kannala'

research

∙ 06/17/2022

Representational Multiplicity Should Be Exposed, Not Eliminated

It is prevalent and well-observed, but poorly understood, that two machi...

Ari Heljakka, et al. ∙

research

∙ 05/23/2022

Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes

Positioning using wave signal measurements is used in several applicatio...

Luca Ferranti, et al. ∙

research

∙ 10/15/2021

Bridging the gap between paired and unpaired medical image translation

Medical image translation has the potential to reduce the imaging worklo...

Pauliina Paavilainen, et al. ∙

research

∙ 10/10/2021

Digging Into Self-Supervised Learning of Feature Descriptors

Fully-supervised CNN-based approaches for learning local image descripto...

Iaroslav Melekhov, et al. ∙

research

∙ 08/20/2021

Continual Learning for Image-Based Camera Localization

For several emerging technologies such as augmented reality, autonomous ...

Shuzhe Wang, et al. ∙

research

∙ 08/02/2021

Homotopy Continuation for Sensor Networks Self-Calibration

Given a sensor network, TDOA self-calibration aims at simultaneously est...

Luca Ferranti, et al. ∙

research

∙ 06/22/2021

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry

We present HybVIO, a novel hybrid approach for combining filtering-based...

Otto Seiskari, et al. ∙

research

∙ 06/15/2021

End-to-End Learning of Keypoint Representations for Continuous Control from Images

In many control problems that include vision, optimal controls can be in...

Rinu Boney, et al. ∙

research

∙ 04/07/2021

Single Source One Shot Reenactment using Weighted motion From Paired Feature Points

Image reenactment is a task where the target object in the source image ...

Soumya Tripathy, et al. ∙

research

∙ 01/05/2021

Novel View Synthesis via Depth-guided Skip Connections

We introduce a principled approach for synthesizing new views of a scene...

Yuxin Hou, et al. ∙

research

∙ 12/22/2020

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner

We consider learning to play multiplayer imperfect-information games wit...

Rinu Boney, et al. ∙

research

∙ 11/09/2020

FACEGAN: Facial Attribute Controllable rEenactment GAN

The face reenactment is a popular facial animation method where the pers...

Soumya Tripathy, et al. ∙

research

∙ 11/05/2020

RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning

Current robot platforms available for research are either very expensive...

Rinu Boney, et al. ∙

research

∙ 10/18/2020

Movement-induced Priors for Deep Stereo

We propose a method for fusing stereo disparity estimation with movement...

Yuxin Hou, et al. ∙

research

∙ 10/01/2020

Can You Trust Your Pose? Confidence Estimation in Visual Localization

Camera pose estimation in large-scale environments is still an open ques...

Luca Ferranti, et al. ∙

research

∙ 08/16/2020

Image Stylization for Robust Features

Local features that are robust to both viewpoint and appearance changes ...

Iaroslav Melekhov, et al. ∙

research

∙ 08/03/2020

Learning to Drive Small Scale Cars from Scratch

We consider the problem of learning to drive low-cost small scale cars u...

Ari Viitala, et al. ∙

research

∙ 07/10/2020

Data-Efficient Ranking Distillation for Image Retrieval

Recent advances in deep learning has lead to rapid developments in the f...

Zakaria Laskar, et al. ∙

research

∙ 06/03/2020

Interpolation-based semi-supervised learning for object detection

Despite the data labeling cost for the object detection tasks being subs...

Jisoo Jeong, et al. ∙

research

∙ 05/20/2020

Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions

Given a network of receivers and transmitters, the process of determinin...

Luca Ferranti, et al. ∙

research

∙ 12/21/2019

Deep Automodulators

We introduce a novel autoencoder model that deviates from traditional au...

Ari Heljakka, et al. ∙

research

∙ 10/12/2019

Regularizing Model-Based Planning with Energy-Based Models

Model-based reinforcement learning could enable sample-efficient learnin...

Rinu Boney, et al. ∙

research

∙ 09/25/2019

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

We present GraphMix, a regularization technique for Graph Neural Network...

Vikas Verma, et al. ∙

research

∙ 09/13/2019

Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization

Visual localization is pivotal to many applications in computer vision a...

Xiaotian Li, et al. ∙

research

∙ 06/16/2019

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy

Adversarial robustness has become a central goal in deep learning, both ...

Alex Lamb, et al. ∙

research

∙ 06/02/2019

Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones

Modern smartphones have all the sensing capabilities required for accura...

Santiago Cortés Reina, et al. ∙

research

∙ 05/25/2019

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction

This paper presents a conceptually simple and effective Deep Audio-Visua...

Hamed R. Tavakoli, et al. ∙

research

∙ 04/15/2019

Geometric Image Correspondence Verification by Dense Pixel Matching

This paper addresses the problem of determining dense pixel corresponden...

Zakaria Laskar, et al. ∙

research

∙ 04/12/2019

Multi-View Stereo by Temporal Nonparametric Fusion

We propose a novel idea for depth estimation from unstructured multi-vie...

Yuxin Hou, et al. ∙

research

∙ 04/12/2019

Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders

We build on recent advances in progressively growing generative autoenco...

Ari Heljakka, et al. ∙

research

∙ 04/12/2019

Digging Deeper into Egocentric Gaze Prediction

This paper digs deeper into factors that influence egocentric gaze. Inst...

Hamed R. Tavakoli, et al. ∙

research

∙ 04/03/2019

CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis

Better understanding and modelling of building interiors and the emergen...

Ahti Kalervo, et al. ∙

research

∙ 04/03/2019

ICface: Interpretable and Controllable Face Reenactment Using GANs

This paper presents a generic face animator that is able to control the ...

Soumya Tripathy, et al. ∙

research

∙ 03/28/2019

Regularizing Trajectory Optimization with Denoising Autoencoders

Trajectory optimization with learned dynamics models can often suffer fr...

Rinu Boney, et al. ∙

research

∙ 03/09/2019

Interpolation Consistency Training for Semi-Supervised Learning

We introduce Interpolation Consistency Training (ICT), a simple and comp...

Vikas Verma, et al. ∙

research

∙ 02/06/2019

Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation

This paper presents a novel method, MaskMVS, to solve depth estimation f...

Yuxin Hou, et al. ∙

research

∙ 01/29/2019

Mask-RCNN and U-net Ensembled for Nuclei Segmentation

Nuclei segmentation is both an important and in some ways ideal task for...

Aarno Oskar Vuola, et al. ∙

research

∙ 01/24/2019

Semantic Matching by Weakly Supervised 2D Point Set Registration

In this paper we address the problem of establishing correspondences bet...

Zakaria Laskar, et al. ∙

research

∙ 01/24/2019

Semi-Supervised Semantic Matching

Convolutional neural networks (CNNs) have been successfully applied to s...

Zakaria Laskar, et al. ∙

research

∙ 11/23/2018

LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks

This paper addresses the challenging problem of acquiring high-quality p...

Janne Mustaniemi, et al. ∙

research

∙ 10/19/2018

DGC-Net: Dense Geometric Correspondence Network

This paper addresses the challenge of dense pixel correspondence estimat...

Iaroslav Melekhov, et al. ∙

research

∙ 10/01/2018

Inertial-aided Motion Deblurring with Deep Networks

We propose an inertial-aided deblurring method that incorporates gyrosco...

Janne Mustaniemi, et al. ∙

research

∙ 08/15/2018

Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization

Image-based camera relocalization is an important problem in computer vi...

Xiaotian Li, et al. ∙

research

∙ 08/10/2018

Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones

Strapdown inertial navigation systems are sensitive to the quality of th...

Santiago Cortes, et al. ∙

research

∙ 07/31/2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Mitosis count is an important biomarker for prognosis of various cancers...

Saad Ullah Akram, et al. ∙

research

∙ 07/25/2018

ADVIO: An authentic dataset for visual-inertial odometry

The lack of realistic and open benchmarking datasets for pedestrian visu...

Santiago Cortes, et al. ∙

research

∙ 07/20/2018

Learning Representations for Soft Skill Matching

Employers actively look for talents having not only specific hard skills...

Luiza Sayfullina, et al. ∙

research

∙ 07/09/2018

Pioneer Networks: Progressively Growing Generative Autoencoder

We introduce a novel generative autoencoder network model that learns to...

Ari Heljakka, et al. ∙

research

∙ 05/31/2018

Robust Gyroscope-Aided Camera Self-Calibration

Camera calibration for estimating the intrinsic parameters and lens dist...

Santiago Cortés Reina, et al. ∙

research

∙ 05/22/2018

Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements

Many computer vision and image processing applications rely on local fea...

Janne Mustaniemi, et al. ∙

Juho Kannala

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