University of Oulu

research

∙ 07/06/2021

Unsupervised Knowledge-Transfer for Learned Image Reconstruction

Deep learning-based image reconstruction approaches have demonstrated im...

Riccardo Barbano, et al. ∙

research

∙ 05/03/2022

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Future AI applications require performance, reliability and privacy that...

Henna Kokkonen, et al. ∙

research

∙ 06/18/2020

Learning non-rigid surface reconstruction from spatio-temporal image patches

We present a method to reconstruct a dense spatio-temporal depth map of ...

Matteo Pedone, et al. ∙

research

∙ 08/16/2021

Pixel Difference Networks for Efficient Edge Detection

Recently, deep Convolutional Neural Networks (CNNs) can achieve human-le...

Zhuo Su, et al. ∙

research

∙ 03/09/2020

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Face anti-spoofing (FAS) plays a vital role in face recognition systems....

Zitong Yu, et al. ∙

research

∙ 12/17/2021

Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks

The distributed inference (DI) framework has gained traction as a techni...

Sohei Itahara, et al. ∙

research

∙ 06/06/2022

Learning Generalized Wireless MAC Communication Protocols via Abstraction

To tackle the heterogeneous requirements of beyond 5G (B5G) and future 6...

Luciano Miuccio, et al. ∙

research

∙ 12/26/2021

Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

To meet the growing mobility needs in intra-city transportation, the con...

Tengchan Zeng, et al. ∙

research

∙ 03/28/2021

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems

The majority of model-based learned image reconstruction methods in medi...

William Herzberg, et al. ∙

research

∙ 02/08/2022

Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces

Photoplethysmography (PPG) signals have become a key technology in many ...

Constantino Álvarez Casado, et al. ∙

research

∙ 06/13/2022

Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction

Reducing energy consumption is a pressing issue in low-power machine-typ...

David E. Ruíz-Guirola, et al. ∙

research

∙ 08/16/2021

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

The threat of 3D masks to face recognition systems is increasingly serio...

Ajian Liu, et al. ∙

research

∙ 03/18/2020

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Face anti-spoofing is critical to the security of face recognition syste...

Zezheng Wang, et al. ∙

research

∙ 06/13/2022

Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach

In this paper, the content popularity prediction problem in fog radio ac...

Zhiheng Wang, et al. ∙

research

∙ 07/08/2022

Towards Semantic Communication Protocols: A Probabilistic Logic Perspective

Classical medium access control (MAC) protocols are interpretable, yet t...

Sejin Seo, et al. ∙

research

∙ 08/12/2019

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation

Degeneration of articular cartilage (AC) is actively studied in knee ost...

Egor Panfilov, et al. ∙

research

∙ 05/08/2022

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is...

George C. Alexandropoulos, 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

∙ 10/19/2018

DGC-Net: Dense Geometric Correspondence Network

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

Iaroslav Melekhov, 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

∙ 01/03/2022

Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform

With the development of data acquisition technology, multi-channel data ...

Hanlin Mo, et al. ∙

research

∙ 11/12/2021

Meta-Teacher For Face Anti-Spoofing

Face anti-spoofing (FAS) secures face recognition from presentation atta...

Yunxiao Qin, et al. ∙

research

∙ 12/14/2021

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

We present a customized 3D mesh Transformer model for the pose transfer ...

Haoyu Chen, et al. ∙

research

∙ 01/31/2018

A Survey of Recent Advances in Texture Representation

Texture is a fundamental characteristic of many types of images, and tex...

Li Liu, et al. ∙

research

∙ 07/11/2019

Micro-expression Action Unit Detection withSpatio-temporal Adaptive Pooling

Action Unit (AU) detection plays an important role for facial expression...

Yante Li, et al. ∙

research

∙ 07/29/2019

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks

This paper addresses the challenge of localization of anatomical landmar...

Aleksei Tiulpin, et al. ∙

research

∙ 02/08/2020

Sparsity-Aware Deep Learning for Automatic 4D Facial Expression Recognition

In this paper, we present a sparsity-aware deep network for automatic 4D...

Muzammil Behzad, et al. ∙

research

∙ 01/25/2022

Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks

Multi-access edge computing (MEC) is viewed as an integral part of futur...

Arian Ahmadi, et al. ∙

research

∙ 06/13/2022

Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach

The fog radio access network (F-RAN) is a promising technology in which ...

Lingling Zhang, et al. ∙

research

∙ 06/24/2019

Audio-Visual Kinship Verification

Visual kinship verification entails confirming whether or not two indivi...

Xiaoting Wu, et al. ∙

research

∙ 07/15/2019

Multi-hop Federated Private Data Augmentation with Sample Compression

On-device machine learning (ML) has brought about the accessibility to a...

Eunjeong Jeong, et al. ∙

research

∙ 03/04/2020

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

Knee osteoarthritis (OA) is one of the highest disability factors in the...

Huy Hoang Nguyen, et al. ∙

research

∙ 03/04/2022

Visibility-Inspired Models of Touch Sensors for Navigation

This paper introduces mathematical models of touch sensors for mobile ro...

Kshitij Tiwari, et al. ∙

research

∙ 10/08/2017

Micro-Expression Spotting: A Benchmark

Micro-expressions are rapid and involuntary facial expressions, which in...

Xiaopeng Hong, et al. ∙

research

∙ 05/09/2017

Cell Tracking via Proposal Generation and Selection

Microscopy imaging plays a vital role in understanding many biological p...

Saad Ullah Akram, et al. ∙

research

∙ 03/07/2017

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild

In this paper, we establish a baseline for object symmetry detection in ...

Wei Ke, et al. ∙

research

∙ 07/26/2015

Solving a Mathematical Problem in Square War: a Go-like Board Game

In this paper, we present a board game: Square War. The game definition ...

Chu Luo, et al. ∙

research

∙ 11/29/2016

Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices

Structure from motion algorithms have an inherent limitation that the re...

Janne Mustaniemi, et al. ∙

research

∙ 10/12/2016

Analyzing the Affect of a Group of People Using Multi-modal Framework

Millions of images on the web enable us to explore images from social ev...

Xiaohua Huang, et al. ∙

research

∙ 09/28/2016

Video Summarization using Deep Semantic Features

This paper presents a video summarization technique for an Internet vide...

Mayu Otani, et al. ∙

research

∙ 08/08/2016

Learning Joint Representations of Videos and Sentences with Web Image Search

Our objective is video retrieval based on natural language queries. In a...

Mayu Otani, et al. ∙

research

∙ 08/07/2016

Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection

Recently, there are increasing interests in inferring mirco-expression f...

Xiaohua Huang, et al. ∙

research

∙ 04/15/2016

Probing the Intra-Component Correlations within Fisher Vector for Material Classification

Fisher vector (FV) has become a popular image representation. One notabl...

Xiaopeng Hong, et al. ∙

research

∙ 09/08/2015

HEp-2 Cell Classification: The Role of Gaussian Scale Space Theory as A Pre-processing Approach

Indirect Immunofluorescence Imaging of Human Epithelial Type 2 (HEp-2) c...

Xianbiao Qi, et al. ∙

research

∙ 04/22/2015

LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification

In this paper, we propose a novel local feature, called Local Orientatio...

Xianbiao Qi, et al. ∙

research

∙ 02/16/2015

HEp-2 Cell Classification via Fusing Texture and Shape Information

Indirect Immunofluorescence (IIF) HEp-2 cell image is an effective evide...

Xianbiao Qi, et al. ∙

research

∙ 02/01/2015

Dynamic texture and scene classification by transferring deep image features

Dynamic texture and scene classification are two fundamental problems in...

Xianbiao Qi, et al. ∙

research

∙ 06/21/2013

Fine-Grained Visual Classification of Aircraft

This paper introduces FGVC-Aircraft, a new dataset containing 10,000 ima...

Subhransu Maji, et al. ∙

research

∙ 10/27/2017

Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling

Software-defined networking (SDN) provides an agile and programmable way...

Chen-Feng Liu, et al. ∙

research

∙ 12/29/2017

Communications and Control for Wireless Drone-Based Antenna Array

In this paper, the effective use of multiple quadrotor drones as an aeri...

Mohammad Mozaffari, et al. ∙

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