Search Results for author: Heikki Huttunen

Found 22 papers, 9 papers with code

Towards a Real-Time Facial Analysis System

1 code implementation21 Sep 2021 Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen

Facial analysis is an active research area in computer vision, with many practical applications.

object-detection Object Detection

On the Importance of Encrypting Deep Features

1 code implementation16 Aug 2021 Xingyang Ni, Heikki Huttunen, Esa Rahtu

On the other hand, it is advisable to encrypt feature vectors, especially for a machine learning model in production.

Person Re-Identification

Sample selection for efficient image annotation

no code implementations10 May 2021 Bishwo Adhikari, Esa Rahtu, Heikki Huttunen

Supervised object detection has been proven to be successful in many benchmark datasets achieving human-level performances.

object-detection Object Detection

Selective Probabilistic Classifier Based on Hypothesis Testing

no code implementations9 May 2021 Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen

In this paper, we propose a simple yet effective method to deal with the violation of the Closed-World Assumption for a classifier.

Handwritten Character Recognition from Wearable Passive RFID

no code implementations6 Aug 2020 Leevi Raivio, Han He, Johanna Virkki, Heikki Huttunen

The data is collected sequentially, such that we record both the stroke order and the resulting bitmap.

Adaptive L2 Regularization in Person Re-Identification

1 code implementation15 Jul 2020 Xingyang Ni, Liang Fang, Heikki Huttunen

We introduce an adaptive L2 regularization mechanism in the setting of person re-identification.

Person Re-Identification

Iterative Bounding Box Annotation for Object Detection

no code implementations2 Jul 2020 Bishwo Adhikari, Heikki Huttunen

Manual annotation of bounding boxes for object detection in digital images is tedious, and time and resource consuming.

object-detection Object Detection

Bayesian Receiver Operating Characteristic Metric for Linear Classifiers

no code implementations23 Aug 2019 Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka

We derive a closed-form solution of the proposed accuracy metric for any linear binary classifier under the Gaussianity assumption, and study the accuracy of the proposed estimator using simulated and real-world data.

Surface Type Classification for Autonomous Robot Indoor Navigation

no code implementations1 May 2019 Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen

In this work we describe the preparation of a time series dataset of inertial measurements for determining the surface type under a wheeled robot.

BIG-bench Machine Learning Classification +3

HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning

no code implementations16 Apr 2019 Oguzhan Gencoglu, Mark van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen

Recent advancements in machine learning research, i. e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging from detection of objects in images and speech recognition to playing difficult strategic games.

BIG-bench Machine Learning Decision Making +2

Elastic Neural Networks for Classification

3 code implementations1 Oct 2018 Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen

In this work we propose a framework for improving the performance of any deep neural network that may suffer from vanishing gradients.

Classification General Classification

Real Time System for Facial Analysis

1 code implementation14 Sep 2018 Janne Tommola, Pedram Ghazi, Bishwo Adhikari, Heikki Huttunen

In this paper we describe the anatomy of a real-time facial analysis system.

Anatomy Face Detection

Acoustic Scene Classification: A Competition Review

no code implementations2 Aug 2018 Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen

In this paper we study the problem of acoustic scene classification, i. e., categorization of audio sequences into mutually exclusive classes based on their spectral content.

Acoustic Scene Classification Classification +2

Binarized Convolutional Neural Networks for Efficient Inference on GPUs

no code implementations1 Aug 2018 Mir Khan, Heikki Huttunen, Jani Boutellier

This representation completely eliminates the need for floating point multiplications and additions and decreases both the computational load and the memory footprint compared to a full-precision network implemented in floating point, making it well-suited for resource-constrained environments.

Binarization Image Classification

Classification of Building Information Model (BIM) Structures with Deep Learning

no code implementations1 Aug 2018 Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen

In this work we study an application of machine learning to the construction industry and we use classical and modern machine learning methods to categorize images of building designs into three classes: Apartment building, Industrial building or Other.

BIG-bench Machine Learning General Classification

Faster Bounding Box Annotation for Object Detection in Indoor Scenes

no code implementations3 Jul 2018 Bishwo Adhikari, Jukka Peltomäki, Jussi Puura, Heikki Huttunen

The procedure consists of two stages: The first step is to annotate a part of the dataset manually, and the second step proposes annotations for the remaining samples using a model trained with the first stage annotations.

object-detection Object Detection In Indoor Scenes

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

1 code implementation21 Feb 2017 Emre Çakır, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen

Sound events often occur in unstructured environments where they exhibit wide variations in their frequency content and temporal structure.

Event Detection Sound Event Detection

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

2 code implementations4 Apr 2016 Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen

In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs).

Data Augmentation Event Detection +1

Car Type Recognition with Deep Neural Networks

2 code implementations23 Feb 2016 Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen

In this paper we study automatic recognition of cars of four types: Bus, Truck, Van and Small car.

Cannot find the paper you are looking for? You can Submit a new open access paper.