Search Results for author: Matti Pietikäinen

Found 16 papers, 3 papers with code

Dynamic Binary Neural Network by learning channel-wise thresholds

no code implementations8 Oct 2021 Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu

The experimental results prove that our method is an effective and straightforward way to reduce information loss and enhance performance of BNNs.

Pixel Difference Networks for Efficient Edge Detection

2 code implementations ICCV 2021 Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu

A faster version of PiDiNet with less than 0. 1M parameters can still achieve comparable performance among state of the arts with 200 FPS.

BSDS500 Edge Detection

Deep Learning for Scene Classification: A Survey

no code implementations26 Jan 2021 Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challenging problem in computer vision.

General Classification Scene Classification

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

1 code implementation19 Oct 2020 Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu

Binary neural networks (BNNs), where both weights and activations are binarized into 1 bit, have been widely studied in recent years due to its great benefit of highly accelerated computation and substantially reduced memory footprint that appeal to the development of resource constrained devices.

Image Classification Quantization

Dynamic Group Convolution for Accelerating Convolutional Neural Networks

1 code implementation ECCV 2020 Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu

In this paper, we propose dynamic group convolution (DGC) that adaptively selects which part of input channels to be connected within each group for individual samples on the fly.

Image Classification

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition

no code implementations22 Jul 2019 Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu

It is computationally efficient and only marginally increases the cost of computing LBPTOP, yet is extremely effective for ME recognition.

Micro-Expression Recognition

Deep Learning for Generic Object Detection: A Survey

no code implementations6 Sep 2018 Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images.

Object Proposal Generation

Texture Classification in Extreme Scale Variations using GANet

no code implementations13 Feb 2018 Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen

Because extreme scale variations are not necessarily present in most standard texture databases, to support the proposed extreme-scale aspects of texture understanding we are developing a new dataset, the Extreme Scale Variation Textures (ESVaT), to test the performance of our framework.

General Classification Texture Classification

PCANet-II: When PCANet Meets the Second Order Pooling

no code implementations30 Sep 2017 Lei Tian, Xiaopeng Hong, Guoying Zhao, Chunxiao Fan, Yue Ming, Matti Pietikäinen

Moreover, it is easy to combine other discriminative and robust cues by using the second order pooling.

Two decades of local binary patterns: A survey

no code implementations20 Dec 2016 Matti Pietikäinen, Guoying Zhao

In recent years very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBP) have been developed, which has led to significant progress in applying texture methods to different problems and applications.

HEp-2 Cell Classification via Fusing Texture and Shape Information

no code implementations16 Feb 2015 Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen

Indirect Immunofluorescence (IIF) HEp-2 cell image is an effective evidence for diagnosis of autoimmune diseases.

General Classification

Dynamic texture and scene classification by transferring deep image features

no code implementations1 Feb 2015 Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen

Moreover we explore two different implementations of the TCoF scheme, i. e., the \textit{spatial} TCoF and the \textit{temporal} TCoF, in which the mean-removed frames and the difference between two adjacent frames are used as the inputs of the ConvNet, respectively.

General Classification Image Classification +1

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