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ORCIDAndrzej Stefan Sluzek
Andrzej Sluzek – Andrzej S. Sluzek
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2020 – today
- 2024
[c76]Andrzej Sluzek:
Incremental Image Decolorization with Randomizing Factors. EUSIPCO 2024: 591-595- 2023
- [c75]Andrzej Sluzek
, Marcin Dudzinski, Tomasz Swislocki:
Automatic Colorization of Digital Movies using Decolorization Models and SSIM Index. FedCSIS 2023: 843-853 - 2022
- [j16]M. Sami Zitouni, Andrzej Sluzek:
A Data Association Model for Analysis of Crowd Structure. Int. J. Appl. Math. Comput. Sci. 32(1): 81-94 (2022) - [c74]Andrzej Sluzek:
Insights into Neural Architectures for Learning Numerical Concepts from Simple Visual Data. FedCSIS 2022: 205-209 - [c73]Andrzej Sluzek, M. Sami Zitouni:
On Formal Models of Interactions Between Detectors and Trackers in Crowd Analysis Tasks. ICCVG 2022: 17-29 - 2021
- [c72]Suood Al Mazrouei, Andrzej Sluzek:
Simple Methodology for Eye Gaze Direction Estimation. ACIIDS (Companion) 2021: 241-253 - [c71]Andrzej Sluzek:
Description-Based Ranking of Visual Instances: Feasibility Study for Keypoints. CORES/IP&C/ACS 2021: 87-96 - 2020
- [j15]M. Sami Zitouni, Andrzej Sluzek, Harish Bhaskar:
Towards understanding socio-cognitive behaviors of crowds from visual surveillance data. Multim. Tools Appl. 79(3-4): 1781-1799 (2020) - [c70]M. Sami Zitouni, Andrzej Sluzek:
Mid-level Features for Categorization of Social Interactions in Public Spaces. ICARCV 2020: 1150-1155 - [c69]M. Sami Zitouni, Andrzej Sluzek:
Video-Surveillance Tools for Monitoring Social Responsibility Under Covid-19 Restrictions. ICCVG 2020: 227-239 - [c68]Nouf Alkaabi, Siddhartha Shakya, Adriana Gabor, Andrzej Stefan Sluzek, Beum-Seuk Lee, Gilbert Owusu:
An Application of EDA and GA for Permutation Based Spare Part Allocation Problem. SGAI Conf. 2020: 393-399
2010 – 2019
- 2019
- [j14]M. Sami Zitouni, Andrzej Sluzek, Harish Bhaskar:
Visual analysis of socio-cognitive crowd behaviors for surveillance: A survey and categorization of trends and methods. Eng. Appl. Artif. Intell. 82: 294-312 (2019) - [j13]Yi Liu, Bu-Sung Lee, Deepu Rajan, Andrzej Sluzek, Martin J. McKeown:
CamType: assistive text entry using gaze with an off-the-shelf webcam. Mach. Vis. Appl. 30(3): 407-421 (2019) - [c67]Ahmad Obeid, Abdulrahman Takiddeen, Andrzej Stefan Sluzek:
ICSAC: Towards Outliers Rejection and Multi-Model Identification in Keypoint-Based Matching of Partial Near-Duplicates. AICCSA 2019: 1-5 - [c66]M. Sami Zitouni, Andrzej Sluzek, Harish Bhaskar:
CNN-Based Analysis of Crowd Structure using Automatically Annotated Training Data. AVSS 2019: 1-8 - [c65]Alia Aljasmi, Andrzej Sluzek:
MSER-based Framework for Classification of Objects in Thermal Images. ICINCO (2) 2019: 566-572 - 2018
- [c64]Andrzej Sluzek:
Descriptor-Driven Keypoint Detection. DICTA 2018: 1-8 - [c63]Sara AlShizawi, Siddhartha Shakya, Andrzej Stefan Sluzek, Russell Ainslie, Gilbert Owusu:
Predicting Fluid Work Demand in Service Organizations Using AI Techniques. SGAI Conf. 2018: 266-276 - 2017
- [j12]Peng-Yong Kong, Andrzej Sluzek:
Average Packet Delay Analysis for a Mobile User in a Two-Tier Heterogeneous Cellular Network. IEEE Syst. J. 11(4): 2726-2736 (2017) - [c62]M. Sami Zitouni, Harish Bhaskar, Andrzej Sluzek:
Dynamic textures based target detection for PTZ camera sequences. SMC 2017: 1328-1332 - 2016
- [c61]Yi Liu, Bu-Sung Lee, Andrzej Sluzek, Deepu Rajan, Martin J. McKeown:
Feasibility Analysis of Eye Typing with a Standard Webcam. ECCV Workshops (2) 2016: 254-268 - [c60]Andrzej Sluzek:
Improving Performances of MSER Features in Matching and Retrieval Tasks. ECCV Workshops (3) 2016: 759-770 - [c59]Andrzej Sluzek:
Machine Vision in Food Recognition: Attempts to Enhance CBVIR Tools. FedCSIS (Position Papers) 2016: 57-61 - [c58]Andrzej Sluzek, Aamna Alali, Amna Alzaabi, Alia Aljasmi:
Visual Target Tracking Using a Low-Cost Methodology Based on Visual Words. ICCVG 2016: 498-508 - [c57]Andrzej Sluzek:
Near-duplicate Fragments in Simultaneously Captured Videos - A Study on Real-time Detection using CBVIR Approach. ICINCO (2) 2016: 232-237 - [c56]Andrzej Sluzek, Hani H. Saleh:
Algorithmic foundations for hardware implementation of scale-insensitive MSER features. MWSCAS 2016: 1-4 - 2015
- [j11]Elahe Farahzadeh, Tat-Jen Cham, Andrzej Sluzek:
Scene recognition by semantic visual words. Signal Image Video Process. 9(8): 1935-1944 (2015) - [c55]Andrzej Sluzek:
Multi-distinctive MSER Features and Their Descriptors: A Low-Complexity Tool for Image Matching. ACIVS 2015: 672-680 - [c54]Tamador Alkhidir, Andrzej Sluzek, Murat Kaya Yapici:
Simple method for adaptive filtering of motion artifacts in E-textile wearable ECG sensors. EMBC 2015: 3807-3810 - [c53]Andrzej Sluzek:
Visual detection of objects by mobile agents using CBVIR techniques of low complexity. FedCSIS 2015: 241-246 - [c52]Ehab Salahat, Hani H. Saleh, M. Sami Zitouni, Andrzej S. Sluzek, Baker Mohammad, Mahmoud Al-Qutayri, Mohammad Ismail:
A robust histogram-based image segmentation ASIC design for System-on-Chip using 65nm technology. ICCSPA 2015: 1-4 - [c51]Sohailah Alyammahi, Ehab Salahat, Hani H. Saleh, Andrzej Sluzek:
A hardware accelerator for real-time extraction of the linear-time MSER algorithm. IECON 2015: 65-69 - [c50]Ehab Salahat, Hani H. Saleh, Andrzej Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammad Ismail:
A maximally stable extremal regions system-on-chip for real-time visual surveillance. IECON 2015: 2812-2815 - [c49]Ehab Salahat, Hani H. Saleh, Andrzej Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammad Ismail:
Novel fast and scalable parallel union-find ASIC implementation for real-time digital image segmentation. IECON 2015: 3122-3125 - [c48]Ehab Salahat, Hani H. Saleh, Andrzej S. Sluzek, Baker Mohammad, Mahmoud Al-Qutayri, Mohammad Ismail:
Novel MSER-guided street extraction from satellite images. IGARSS 2015: 1032-1035 - [c47]Ehab Salahat, Hani H. Saleh, Andrzej Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail:
Evolutionary QR-Based Traffic Sign Recognition System for Next-Generation Intelligent Vehicles. VTC Fall 2015: 1-5 - 2014
- [c46]Andrzej Sluzek:
Extended Keypoint Description and the Corresponding Improvements in Image Retrieval. ACCV Workshops (1) 2014: 698-709 - [c45]Andrzej Sluzek:
Contextual descriptors improving credibility of keypoint matching: Harris-Affine, Hessian-Affme and SIFT feasibility study. ICARCV 2014: 117-122 - 2013
- [c44]Andrzej Sluzek:
Partial Near-Duplicate Detection in Random Images by a Combination of Detectors. ACIVS 2013: 238-249 - [c43]Andrzej Sluzek:
Inverted indexing in image fragment retrieval using huge keypoint-based vocabularies. CBMI 2013: 167-172 - [c42]Ehab Salahat, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Andrzej Sluzek, Mohammed Ismail:
Automated real-time video surveillance algorithms for SoC implementation: A survey. ICECS 2013: 82-83 - [c41]Andrzej Sluzek:
Affine-invariant description of keypoint bundles for detecting partial near-duplicates in random images. ICECS 2013: 269-272 - [c40]Andrzej Sluzek:
A Novel Approach to Retrieval of Similar Patterns in Biological Images. ISVC (2) 2013: 643-652 - 2012
- [j10]Andrzej Sluzek, Mariusz Paradowski:
Visual similarity issues in face recognition. Int. J. Biom. 4(1): 22-37 (2012) - [c39]Andrzej Sluzek, Mariusz Paradowski:
Detection of Near-Duplicate Patches in Random Images Using Keypoint-Based Features. ACIVS 2012: 301-312 - [c38]Andrzej Sluzek:
Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches. ECCV Workshops (1) 2012: 229-238 - [c37]Andrzej Sluzek, Mariusz Paradowski:
Is Visual Similarity Sufficient for Semantic Object Recognition?. FedCSIS 2012: 167-173 - [c36]Andrzej Sluzek, Mariusz Paradowski, Duanduan Yang:
Reinforcement of Keypoint Matching by Co-segmentation in Object Retrieval: Face Recognition Case Study. ICONIP (5) 2012: 34-41 - 2011
- [c35]Halina Kwasnicka, Mariusz Paradowski, Michal Stanek, Michal Spytkowski, Andrzej Sluzek:
Image Similarities on the Basis of Visual Content - An Attempt to Bridge the Semantic Gap. ACIIDS (1) 2011: 14-26 - [c34]Andrzej Sluzek, Mariusz Paradowski:
Assessment of Visibility Quality in Adverse Weather and Illumination Conditions. DAGM-Symposium 2011: 216-225 - [c33]Mariusz Paradowski, Andrzej Sluzek:
Automatic Image Annotation by Image Fragment Matching. FedCSIS 2011: 83-89 - [c32]Andrzej Sluzek, Mariusz Paradowski:
Improved Credibility of Keypoint Matching by Using Co-affine Pairs of Ellipses. IP&C 2011: 67-75 - [p1]Mariusz Paradowski, Andrzej Sluzek:
A Semi-local Topological Constraint for Efficient Detection of Near-Duplicate Image Fragments. Computer Recognition Systems 4 2011: 403-410 - 2010
- [j9]Duanduan Yang, Andrzej Sluzek:
A low-dimensional local descriptor incorporating TPS warping for image matching. Image Vis. Comput. 28(8): 1184-1195 (2010) - [c31]Andrzej Sluzek, Mariusz Paradowski:
Real-Time Retrieval of Near-Duplicate Fragments in Images and Video-Clips. ACIVS (1) 2010: 18-29 - [c30]Behrouz Khadem, Elahe Farahzadeh, Deepu Rajan, Andrzej Sluzek:
Embedding Visual Words into Concept Space for Action and Scene Recognition. BMVC 2010: 1-11 - [c29]Andrzej Sluzek, Duanduan Yang, Mariusz Paradowski:
Beyond Keypoints: Novel Techniques for Content-Based Image Matching and Retrieval. ICAISC (1) 2010: 555-562 - [c28]Andrzej Sluzek, Mariusz Paradowski, Duanduan Yang:
Detection and segmentation of near-duplicate fragments in random images. ICARCV 2010: 1161-1166 - [c27]Mariusz Paradowski, Andrzej Sluzek:
Keypoint-Based Detection of Near-Duplicate Image Fragments Using Image Geometry and Topology. ICCVG (2) 2010: 175-182 - [c26]Duanduan Yang, Andrzej Sluzek:
Performance evaluation of low-dimensional sifts. ICIP 2010: 2729-2732 - [c25]Md. Saiful Islam, Andrzej Sluzek:
Hierarchical Object Categorization with Automatic Feature Selection. IMCSIT 2010: 45-51 - [c24]Mariusz Paradowski, Andrzej Sluzek:
Automatic Visual Class Formation using Image Fragment Matching. IMCSIT 2010: 97-104 - [c23]Md. Saiful Islam, Andrzej Sluzek:
An Evaluation of Local Image Features for Object Class Recognition. VISAPP (2) 2010: 519-523
2000 – 2009
- 2009
- [j8]Andrzej Sluzek:
Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform. EURASIP J. Image Video Process. 2009 (2009) - [j7]Pawel Piotr Czapski, Andrzej Sluzek:
Experiments on data processing algorithms: energy efficiency of wireless and untethered field programmable gate array (FPGA)-based embedded systems. Int. J. Inf. Commun. Technol. 2(1/2): 4-18 (2009) - [c22]Duanduan Yang, Andrzej Sluzek:
Aligned matching: An efficient image matching technique. ICIP 2009: 165-168 - [c21]Andrzej Sluzek:
Image Features Based on Local Hough Transforms. KES (2) 2009: 143-150 - 2008
- [j6]Md. Saiful Islam, Andrzej Sluzek:
Relative scale method to locate an object in cluttered environment. Image Vis. Comput. 26(2): 259-274 (2008) - [c20]Andrzej Sluzek:
Detecting local features in complex images: A combination of Hough transform and moment-based approximations. ICARCV 2008: 1323-1328 - [c19]Jimmy Addison Lee, Kin Choong Yow, Andrzej Sluzek:
Image-Based Information Guide on Mobile Devices. ISVC (2) 2008: 346-355 - 2007
- [c18]Andrzej Sluzek:
Approximation-Based Keypoints in Colour Images - A Tool for Building and Searching Visual Databases. VISUAL 2007: 5-16 - 2006
- [j5]Andrzej Sluzek, Annamalai Palaniappan, Md. Saiful Islam, Pawel Piotr Czapski:
Towards wireless sensor networks with enhanced vision capabilities. Ann. UMCS Informatica 4(1): 6-19 (2006) - [c17]Andrzej Sluzek, Phung Khoi Duy Minh:
Embedded Vision Module for Robot-soccer. AICCSA 2006: 159-162 - [c16]Md. Saiful Islam, Andrzej Sluzek:
3D Object Localization Using Local Shape Features. ICARCV 2006: 1-6 - [c15]Deepak Gangadharan, Raveendranath Mahesh, Andrzej Sluzek:
Design of an Area-Efficient Multiplierless Processing Element For Fast Two Dimensional Image Convolution. ICECS 2006: 467-470 - [c14]Andrzej Sluzek, Md. Saiful Islam, Annamalai Palaniappan:
Using Interest Points for Robust Visual Detection and Identification of Objects in Complex Scenes. IROS 2006: 5321-5326 - [c13]Andrzej Sluzek:
A New Local-Feature Framework for Scale-Invariant Detection of Partially Occluded Objects. PSIVT 2006: 248-257 - 2005
- [j4]Andrzej Sluzek:
On moment-based local operators for detecting image patterns. Image Vis. Comput. 23(3): 287-298 (2005) - [c12]Andrzej Sluzek, Tan Ching Seong:
Image Formation in Highly Turbid Media by Adaptive Fusion of Gated Images. ACIVS 2005: 194-201 - [c11]Md. Saiful Islam, Andrzej Sluzek, Zhu Lin:
Towards Invariant Interest Point Detection of an Objects. WSCG (Short Papers) 2005: 101-104 - 2004
- [c10]Andrzej Sluzek, Tan Ching Seong:
Visual detection of 3D obstacles using gated images. ICARCV 2004: 92-97 - [c9]Andrzej Sluzek:
An Improved Detection Algorithm for Local Features in Gray-Level Images. ICCVG 2004: 406-412 - [c8]Andrzej Sluzek, Tan Ching Seong:
Gated Images: New Perspectives for Vision-Based Navigation. ICCVG 2004: 509-515 - [c7]Andrzej Sluzek, Tan Ching Seong:
A feasibility study on a novel method of visual obstacle detection. ICIP 2004: 2447-2450 - 2003
- [c6]Andrzej Sluzek:
Feature Maps: A New Approach in Hierarchical Interpretation of Images. CW 2003: 245-250 - [c5]Tan Ching Seong, Gerald G. Seet, Andrzej Sluzek:
Practical quantitative assessment of imaging system in turbid water using a modified fidelity index. Visual Information Processing 2003: 51-62 - 2002
- [c4]Andrzej Sluzek:
Moments in contour extraction: an algorithm and its implementation. ICARCV 2002: 320-325 - 2001
- [c3]Andrzej Sluzek:
A Local Algorithm for Real-Time Junction Detection in Contour Images. CAIP 2001: 465-472 - 2000
- [c2]Andrzej Sluzek:
Hardware Supported Technique for Detecting Multi-Corners In Digital Contours. CAMP 2000: 320-
1990 – 1999
- 1998
- [c1]Andrzej Sluzek:
Multi-level contour segmentation using multiple segmentation primitives. ICPR 1998: 741-743 - 1995
- [j3]Andrzej Sluzek:
Identification and inspection of 2-D objects using new moment-based shape descriptors. Pattern Recognit. Lett. 16(7): 687-697 (1995)
1980 – 1989
- 1988
- [j2]Andrzej Sluzek:
Identification of planar objects in 3-D space from perspective projections. Pattern Recognit. Lett. 7(1): 59-63 (1988) - [j1]Andrzej Sluzek:
Using moment invariants to recognize and locate partially occluded 2D objects. Pattern Recognit. Lett. 7(4): 253-257 (1988)
Coauthor Index
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