173 citations · 801 across the 47 of their papers we have counts for
50 papers
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
Min-Hung Chen, Baopu Li, Yingze Bao +2
Despite the recent progress of fully-supervised action segmentation techniques, the performance is still not fully satisfactory. One main challenge is the problem of spatiotemporal…
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
Dogancan Temel, Min-Hung Chen, Ghassan AlRegib
Traffic signs are critical for maintaining the safety and efficiency of our roads. Therefore, we need to carefully assess the capabilities and limitations of automated traffic sign…
Distorted Representation Space Characterization Through Backpropagated Gradients
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel +1
In this paper, we utilize weight gradients from backpropagation to characterize the representation space learned by deep learning algorithms. We demonstrate the utility of such gra…
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Motaz Alfarraj, Ghassan AlRegib
Recent applications of machine learning algorithms in the seismic domain have shown great potential in different areas such as seismic inversion and interpretation. However, such a…
Relative Afferent Pupillary Defect Screening through Transfer Learning
Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib +1
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on rel…
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Min-Hung Chen, Zsolt Kira, Ghassan AlRegib +3
Although various image-based domain adaptation (DA) techniques have been proposed in recent years, domain shift in videos is still not well-explored. Most previous works only evalu…
Temporal Attentive Alignment for Video Domain Adaptation
Min-Hung Chen, Zsolt Kira, Ghassan AlRegib
Although various image-based domain adaptation (DA) techniques have been proposed in recent years, domain shift in videos is still not well-explored. Most previous works only evalu…
Texture retrieval using periodically extended and adaptive curvelets
Hasan Al-Marzouqi, Yuting Hu, Ghassan AlRegib
Image retrieval is an important problem in the area of multimedia processing. This paper presents two new curvelet-based algorithms for texture retrieval which are suitable for use…
Implicit Background Estimation for Semantic Segmentation
Charles Lehman, Dogancan Temel, Ghassan AlRegib
Scene understanding and semantic segmentation are at the core of many computer vision tasks, many of which, involve interacting with humans in potentially dangerous ways. It is the…
Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a multi-level texture encoding and representation network (MuLTER) for texture-related applications. Based on a multi-level pooling architecture, the MuLT…
Automated Pupillary Light Reflex Test on a Portable Platform
Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib +1
In this paper, we introduce a portable eye imaging device denoted as lab-on-a-headset, which can automatically perform a swinging flashlight test. We utilized this device in a clin…
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib +2
As deep learning continues to make progress for challenging perception tasks, there is increased interest in combining vision, language, and decision-making. Specifically, the Visi…
Semantically Interpretable and Controllable Filter Sets
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel +1
In this paper, we generate and control semantically interpretable filters that are directly learned from natural images in an unsupervised fashion. Each semantic filter learns a vi…
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
Dogancan Temel, Tariq Alshawi, Min-Hung Chen +1
State-of-the-art algorithms successfully localize and recognize traffic signs over existing datasets, which are limited in terms of challenging condition type and severity. Therefo…
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel, Jinsol Lee, Ghassan AlRegib
In this paper, we investigate the reliability of online recognition platforms, Amazon Rekognition and Microsoft Azure, with respect to changes in background, acquisition device, an…
Petrophysical Property Estimation from Seismic Data Using Recurrent Neural Networks
Motaz Alfarraj, Ghassan AlRegib
Reservoir characterization involves the estimation petrophysical properties from well-log data and seismic data. Estimating such properties is a challenging task due to the non-lin…
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi +1
In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections. We develop a projecti…
Understanding spatial correlation in eye-fixation maps for visual attention in videos
Tariq Alshawi, Zhiling Long, Ghassan AlRegib
In this paper, we present an analysis of recorded eye-fixation data from human subjects viewing video sequences. The purpose is to better understand visual attention for videos. Ut…
Characterization of migrated seismic volumes using texture attributes: a comparative study
Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +5
In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrat…
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu +4
The Vision-and-Language Navigation (VLN) task entails an agent following navigational instruction in photo-realistic unknown environments. This challenging task demands that the ag…
SalSi: A new seismic attribute for salt dome detection
Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1
In this paper, we propose a saliency-based attribute, SalSi, to detect salt dome bodies within seismic volumes. SalSi is based on the saliency theory and modeling of the human visi…
Tensor-based subspace learning for tracking salt-dome boundaries
Zhen Wang, Zhiling Long, Ghassan AlRegib
The exploration of petroleum reservoirs has a close relationship with the identification of salt domes. To efficiently interpret salt-dome structures, in this paper, we propose a m…
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1
The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely the absence of large publ…
The role of visual saliency in the automation of seismic interpretation
Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long +1
In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on th…