Search Results - "Ahmad Reza Naghsh Nilchi"

Efficient Image Denoising Method Based on a New Adaptive Wavelet Packet Thresholding Function by Fathi, Abdolhossein, Naghsh-Nilchi, Ahmad Reza

“…This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding function for image denoising based on the generalized Gaussian…”
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Fast, yet robust end-to-end camera pose estimation for robotic applications by Kamranian, Zahra, Sadeghian, Hamid, Naghsh Nilchi, Ahmad Reza, Mehrandezh, Mehran

“…Camera pose estimation in robotic applications is paramount. Most of recent algorithms based on convolutional neural networks demonstrate that they are able to…”
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Joint motion boundary detection and CNN-based feature visualization for video object segmentation by Kamranian, Zahra, Naghsh Nilchi, Ahmad Reza, Sadeghian, Hamid, Tombari, Federico, Navab, Nassir

“…This paper presents a video object segmentation method which jointly uses motion boundary and convolutional neural network (CNN)-based class-level maps to…”
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Iterative algorithm for interactive co-segmentation using semantic information propagation by Kamranian, Zahra, Naghsh Nilchi, Ahmad Reza, Monadjemi, Amirhassan, Navab, Nassir

“…This paper introduces a novel iterative approach for interactive single or multiple foreground co-segmentation using semantic information. A quadratic cost…”
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High‐order Markov random field for single depth image super‐resolution by Elham Shabaninia, Ahmad Reza Naghsh‐Nilchi, Shohreh Kasaei

“…Although there is an increasing interest in employing the depth data in computer vision applications, the spatial resolution of depth maps is still limited…”
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Deep fusion of gray level co-occurrence matrices for lung nodule classification by Saihood, Ahmed, Karshenas, Hossein, Nilchi, Ahmad Reza Naghsh

“…Lung cancer is a serious threat to human health, with millions dying because of its late diagnosis. The computerized tomography (CT) scan of the chest is an…”
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Deep fusion of gray level co-occurrence matrices for lung nodule classification by Ahmed Saihood, Hossein Karshenas, Ahmad Reza Naghsh Nilchi

“…Lung cancer is a serious threat to human health, with millions dying because of its late diagnosis. The computerized tomography (CT) scan of the chest is an…”
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Image captioning using transformer-based double attention network by Parvin, Hashem, Reza Naghsh-Nilchi, Ahmad, Mahvash Mohammadi, Hossein

“…Image captioning generates a human-like description for a query image, which has attracted considerable attention recently. The most broadly utilized model for…”
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Iterative Sinc−convolution method for solving planar D-bar equation with application to EIT by Abbasi, Mahdi, Naghsh-Nilchi, Ahmad-Reza

“…SUMMARY The numerical solution of D‐bar integral equations is the key in inverse scattering solution of many complex problems in science and engineering…”
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Precise two-dimensional D-bar reconstructions of human chest and phantom tank via sinc-convolution algorithm by Abbasi, Mahdi, Naghsh-Nilchi, Ahmad-Reza

“…Electrical Impedance Tomography (EIT) is used as a fast clinical imaging technique for monitoring the health of the human organs such as lungs, heart, brain…”
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Multi-Orientation Local Texture Features for Guided Attention-based Fusion in Lung Nodule Classification by Saihood, Ahmed, Karshenas, Hossein, Nilchi, Ahmadreza Naghsh

“…Computerized tomography (CT) scan images are widely used in automatic lung cancer detection and classification. The lung nodules' texture distribution…”
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Co-segmentation via visualization by Kamranian, Zahra, Tombari, Federico, Naghsh Nilchi, Ahmad Reza, Monadjemi, Amirhassan, Navab, Nassir

“…[Display omitted] •A feature visualization for CNNs method is exploited to improve co-segmentation.•Visualization is used as an auxiliary information to…”
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Medical ultrasound image compression using contextual vector quantization by Hosseini, Seyed Morteza, Naghsh-Nilchi, Ahmad-Reza

“…Abstract With ever increasing use of medical ultrasound (US) images, a challenge exists to deal with storage and transmission of these images while still…”
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Chaotic particle swarm optimization with mutation for classification by Assarzadeh, Zahra, Naghsh-Nilchi, Ahmad Reza

“…In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different…”
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Transformer-based local-global guidance for image captioning by Parvin, Hashem, Naghsh-Nilchi, Ahmad Reza, Mohammadi, Hossein Mahvash

“…Image captioning is a difficult problem for machine learning algorithms to compress huge amounts of images into descriptive languages. The recurrent models are…”
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Noise tolerant local binary pattern operator for efficient texture analysis by Fathi, Abdolhossein, Naghsh-Nilchi, Ahmad Reza

“…► A noise tolerant extension of LBP operators is established. ► A circular majority vote filter is used to reduce the effect of noise. ► More regular uniform…”
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Assessing information diffusion models for influence maximization in signed social networks by Hosseini-Pozveh, Maryam, Zamanifar, Kamran, Naghsh-Nilchi, Ahmad Reza

“…•Two schemes are proposed on distrust propagation in influence maximization.•Three information diffusion models are proposed considering trust and…”
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Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation by Fathi, Abdolhossein, Naghsh-Nilchi, Ahmad Reza

“…► This paper presents a new multi-scale vessel enhancement method based on complex continuous wavelet transform. ► The final vessel network is obtained by…”
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Incorporating social media comments in affective video retrieval by Nemati, Shahla, Naghsh-Nilchi, Ahmad Reza

“…Affective video retrieval systems aim at finding video contents matching the desires and needs of users. Existing systems typically use the information…”
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A dictionary learning approach for human sperm heads classification by Shaker, Fariba, Monadjemi, S. Amirhassan, Alirezaie, Javad, Naghsh-Nilchi, Ahmad Reza

“…To diagnose infertility in men, semen analysis is conducted in which sperm morphology is one of the factors that are evaluated. Since manual assessment of…”
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