Search Results - "AlRegib, Ghassan"
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TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
Published in Signal processing. Image communication (01-02-2019)“…Recent two-stream deep Convolutional Neural Networks (ConvNets) have made significant progress in recognizing human actions in videos. Despite their success,…”
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Air-Writing Recognition-Part I: Modeling and Recognition of Characters, Words, and Connecting Motions
Published in IEEE transactions on human-machine systems (01-06-2016)“…Air-writing refers to writing of linguistic characters or words in a free space by hand or finger movements. Air-writing differs from conventional handwriting;…”
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Stochastic surprisal: An inferential measurement of free energy in neural networks
Published in Frontiers in neuroscience (14-03-2023)“…This paper conjectures and validates a framework that allows for action during inference in supervised neural networks. Supervised neural networks are…”
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Hierarchical Hole-Filling For Depth-Based View Synthesis in FTV and 3D Video
Published in IEEE journal of selected topics in signal processing (01-09-2012)“…Three-dimensional television (3DTV) is believed to be the future of television broadcasting that would replace current 2D HDTV technology. Future 3DTV would…”
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Air-Writing Recognition-Part II: Detection and Recognition of Writing Activity in Continuous Stream of Motion Data
Published in IEEE transactions on human-machine systems (01-06-2016)“…Air-writing refers to writing of characters or words in the free space by hand or finger movements. We address air-writing recognition problems in two…”
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Probing the Purview of Neural Networks via Gradient Analysis
Published in IEEE access (01-01-2023)“…We analyze the data-dependent capacity of neural networks and assess the anomaly in inputs from the perspective of networks during inference. The notion of…”
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A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting
Published in IEEE signal processing letters (01-06-2018)“…In garment manufacturing, an automatic sewing machine is desirable to reduce cost. To accomplish this, a high-speed vision system is required to track fabric…”
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Blind Curvelet-Based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments
Published in Arabian journal for science and engineering (2011) (01-08-2023)“…Distributed acoustic sensing (DAS) is a new seismic monitoring technology. DAS generates a large amount of data, necessitating the development of new…”
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Rate-Constrained Distributed Estimation in Wireless Sensor Networks
Published in IEEE transactions on signal processing (01-05-2007)“…In this paper, we consider the distributed parameter estimation in wireless sensor networks where a total bit rate constraint is imposed. We study the optimal…”
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Feature Processing and Modeling for 6D Motion Gesture Recognition
Published in IEEE transactions on multimedia (01-04-2013)“…A 6D motion gesture is represented by a 3D spatial trajectory and augmented by another three dimensions of orientation. Using different tracking technologies,…”
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Exploiting the Distortion-Semantic Interaction in Fisheye Data
Published in IEEE open journal of signal processing (01-01-2023)“…In this work, we present a methodology to shape a fisheye-specific representation space that reflects the interaction between distortion and semantic context…”
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Seeding undergraduate research experience: From Georgia Tech to KFUPM case study
Published in International journal of electrical engineering & education (01-10-2018)“…In this paper, implementation and outcomes of an undergraduate research course are presented. The associated gains and learning outcomes of the course are…”
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VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Published in IEEE journal of selected topics in signal processing (11-06-2024)“…In this paper, we visualize and quantify the predictive uncertainty of gradient-based post hoc visual explanations for neural networks. Predictive uncertainty…”
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Perceptual image quality assessment through spectral analysis of error representations
Published in Signal processing. Image communication (01-02-2019)“…In this paper, we analyze the statistics of error signals to assess the perceived quality of images. Specifically, we focus on the magnitude spectrum of error…”
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A comparison of seismic saltbody interpretation via neural networks at sample and pattern levels
Published in Geophysical Prospecting (01-02-2020)“…ABSTRACT Saltbodies are important subsurface structures that have significant implications for hydrocarbon accumulation and sealing in petroleum reservoirs,…”
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Extracting Causal Visual Features For Limited Label Classification
Published in 2021 IEEE International Conference on Image Processing (ICIP) (19-09-2021)“…Neural networks trained to classify images do so by identifying features that allow them to distinguish between classes. These sets of features are either…”
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Conference Proceeding -
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CSV: Image quality assessment based on color, structure, and visual system
Published in Signal processing. Image communication (01-10-2016)“…This paper presents a full-reference image quality estimator based on color, structure, and visual system characteristics denoted as CSV. In contrast to the…”
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Effective Data Selection for Seismic Interpretation Through Disagreement
Published in IEEE transactions on geoscience and remote sensing (2024)“…This article presents a discussion on data selection for deep learning in the field of seismic interpretation. To enable robust generalization, the training…”
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Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
Published in IEEE transactions on geoscience and remote sensing (2022)“…In recent years, deep neural networks have significantly impacted the seismic interpretation process. Due to the simple implementation and low interpretation…”
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UNIQUE: Unsupervised Image Quality Estimation
Published in IEEE signal processing letters (01-10-2016)“…In this letter, we estimate perceived image quality using sparse representations obtained from generic image databases through an unsupervised learning…”
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