b'Juho Kannala'

research

∙ 06/21/2023

DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching

Direct matching of 2D keypoints in an input image to a 3D point cloud of...

0 Shuzhe Wang, et al. ∙

research

∙ 06/15/2023

Simplified Temporal Consistency Reinforcement Learning

Reinforcement learning is able to solve complex sequential decision-maki...

0 Yi Zhao, et al. ∙

research

∙ 05/05/2023

HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer

Visual localization is critical to many applications in computer vision ...

0 Shuzhe Wang, et al. ∙

research

∙ 02/20/2023

TBPos: Dataset for Large-Scale Precision Visual Localization

Image based localization is a classical computer vision challenge, with ...

0 Masud Fahim, et al. ∙

research

∙ 01/03/2023

BS3D: Building-scale 3D Reconstruction from RGB-D Images

Various datasets have been proposed for simultaneous localization and ma...

0 Janne Mustaniemi, et al. ∙

research

∙ 12/27/2022

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective

Mixup is a popular data augmentation technique for training deep neural ...

0 Vikas Verma, et al. ∙

research

∙ 11/28/2022

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction

High-definition (HD) semantic map generation of the environment is an es...

3 Hao Dong, et al. ∙

research

∙ 11/01/2022

Expansion of Visual Hints for Improved Generalization in Stereo Matching

We introduce visual hints expansion for guiding stereo matching to impro...

0 Andrea Pilzer, et al. ∙

research

∙ 10/25/2022

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

Offline reinforcement learning, by learning from a fixed dataset, makes ...

0 Yi Zhao, et al. ∙

research

∙ 10/04/2022

Continuous Monte Carlo Graph Search

In many complex sequential decision making tasks, online planning is cru...

0 Amin Babadi, et al. ∙

research

∙ 08/16/2022

Uncertainty-guided Source-free Domain Adaptation

Source-free domain adaptation (SFDA) aims to adapt a classifier to an un...

14 Subhankar Roy, et al. ∙

research

∙ 08/14/2022

Visual Localization via Few-Shot Scene Region Classification

Visual (re)localization addresses the problem of estimating the 6-DoF (D...

15 Siyan Dong, et al. ∙

research

∙ 06/17/2022

Representational Multiplicity Should Be Exposed, Not Eliminated

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

0 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...

0 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...

0 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...

0 Iaroslav Melekhov, et al. ∙

research

∙ 08/20/2021

Continual Learning for Image-Based Camera Localization

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

0 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...

0 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...

0 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...

1 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 ...

0 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...

0 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...

0 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...

3 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...

67 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...

0 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...

0 Luca Ferranti, et al. ∙

research

∙ 08/16/2020

Image Stylization for Robust Features

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

1 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...

0 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...

0 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...

3 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...

0 Luca Ferranti, et al. ∙

research

∙ 12/21/2019

Deep Automodulators

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

17 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...

0 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...

4 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...

8 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 ...

11 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 Soumya Tripathy, et al. ∙

research

∙ 03/28/2019

Regularizing Trajectory Optimization with Denoising Autoencoders

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

0 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...

10 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...

0 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...

0 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...

0 Zakaria Laskar, et al. ∙

Juho Kannala

Featured Co-authors