625 citations · 1.2k across the 22 of their papers we have counts for
9 papers · 1 filter
Elastic Neural Networks for Classification
Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya +1
In this work we propose a framework for improving the performance of any deep neural network that may suffer from vanishing gradients. To address the vanishing gradient issue, we s…
Real Time System for Facial Analysis
Janne Tommola, Pedram Ghazi, Bishwo Adhikari +1
In this paper we describe the anatomy of a real-time facial analysis system. The system recognizes the age, gender and facial expression from users in appearing in front of the cam…
Acoustic Scene Classification: A Competition Review
Shayan Gharib, Honain Derrar, Daisuke Niizumi +5
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. We des…
Classification of Building Information Model (BIM) Structures with Deep Learning
Francesco Lomio, Ricardo Farinha, Mauri Laasonen +1
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 desi…
Binarized Convolutional Neural Networks for Efficient Inference on GPUs
Mir Khan, Heikki Huttunen, Jani Boutellier
Convolutional neural networks have recently achieved significant breakthroughs in various image classification tasks. However, they are computationally expensive,which can make the…
Embedded Implementation of a Deep Learning Smile Detector
Pedram Ghazi, Antti P. Happonen, Jani Boutellier +1
In this paper we study the real time deployment of deep learning algorithms in low resource computational environments. As the use case, we compare the accuracy and speed of neural…
Faster Bounding Box Annotation for Object Detection in Indoor Scenes
Bishwo Adhikari, Jukka Peltomäki, Jussi Puura +1
This paper proposes an approach for rapid bounding box annotation for object detection datasets. The procedure consists of two stages: The first step is to annotate a part of the d…
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision
Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen +1
We propose a new framework for image classification with deep neural networks. The framework introduces intermediate outputs to the computational graph of a network. This enables f…
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms
Jani Boutellier, Jiahao Wu, Heikki Huttunen +1
The majority of contemporary mobile devices and personal computers are based on heterogeneous computing platforms that consist of a number of CPU cores and one or more Graphics Pro…