William J. Beksi

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Citations	383	268
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Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaVerified email at cs.umn.edu
Mohammad Samiul ArshadPhd Candidate, University of Texas at ArlingtonVerified email at mavs.uta.edu
Nolan GutierrezResearch Assistant, University of Texas at ArlingtonVerified email at mavs.uta.edu
Dimitris ZermasSenteraVerified email at sentera.com
Duc FehrAdministration des Contributions Directes, LuxembourgVerified email at co.etat.lu
Joseph M. CloudNASAVerified email at nasa.gov
Zongyao Lyu (吕宗耀)PhD Student, University of Texas at ArlingtonVerified email at mavs.uta.edu
Nicholas GansUniversity of Texas at ArlingtonVerified email at uta.edu
Asif IqbalKearfott CorporationVerified email at kearfott.com
Mohammadreza davoodiUniversity of MemphisVerified email at memphis.edu
Pritam KarmokarUniversity of Texas at ArlingtonVerified email at mavs.uta.edu
Md Ahmed Al MuzaddidUniversity of Texas, ArlingtonVerified email at mavs.uta.edu
Animesh ChakravarthyUniversity of Texas at ArlingtonVerified email at uta.edu
Quan NguyenPhD Student in Computer Science, The University of Texas at ArlingtonVerified email at mavs.uta.edu
Amanda M Hulse-KempComputational Biologist, USDA-ARSVerified email at ars.usda.gov
Jordan JamesPhD Student, University of Texas at ArlingtonVerified email at mavs.uta.edu
Chris CollanderPhD Candidate, University of Texas ArlingtonVerified email at mavs.uta.edu
Minh TramGraduate Research Assistant, University of Texas at ArlingtonVerified email at mavs.uta.edu
Heather ManchingResearch Associate at North Carolina State UniversityVerified email at ncsu.edu

William J. Beksi

Assistant Professor, University of Texas at Arlington

Verified email at uta.edu - Homepage

Robot Perception Robot Learning Autonomous Systems


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Covariance Based Point Cloud Descriptors for Object Detection and Recognition D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos Computer Vision and Image Understanding 142, 80-93, 2016	43	2016
CORE: A Cloud-based Object Recognition Engine for Robotics WJ Beksi, J Spruth, N Papanikolopoulos IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2015	36	2015
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds MS Arshad, WJ Beksi International Conference on 3D Vision (3DV), 712-722, 2020	33	2020
Object Classification Using Dictionary Learning and RGB-D Covariance Descriptors WJ Beksi, N Papanikolopoulos IEEE International Conference on Robotics and Automation (ICRA), 1880-1885, 2015	30	2015
Thermal Image Super-Resolution Challenge - PBVS 2021 RE Rivadeneira, AD Sappa, BX Vintimilla, S Nathan, P Kansal, A Mehri, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2021	28	2021
RGB-D Object Classification Using Covariance Descriptors D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos IEEE International Conference on Robotics and Automation (ICRA), 5467-5472, 2014	20	2014
3D Region Segmentation Using Topological Persistence WJ Beksi, N Papanikolopoulos IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2016	19	2016
A Topology-based Descriptor for 3D Point Cloud Modeling: Theory and Experiments WJ Beksi, N Papanikolopoulos Image and Vision Computing 88, 84-95, 2019	17	2019
Single Image Super-Resolution via a Dual Interactive Implicit Neural Network QH Nguyen, WJ Beksi IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 4936-4945, 2023	16	2023
Probabilistic Object Detection via Deep Ensembles Z Lyu, N Gutierrez, A Rajguru, WJ Beksi European Conference on Computer Vision Workshops, 67-75, 2020	15	2020
3D Point Cloud Segmentation Using Topological Persistence WJ Beksi, N Papanikolopoulos IEEE International Conference on Robotics and Automation (ICRA), 5046-5051, 2016	13	2016
Point Cloud Culling for Robot Vision Tasks Under Communication Constraints WJ Beksi, N Papanikolopoulos IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2014	13	2014
Learning the Next Best View for 3D Point Clouds via Topological Features C Collander, WJ Beksi, M Huber IEEE International Conference on Robotics and Automation (ICRA), 12207--12213, 2021	11	2021
Vision-Based Guidance for Tracking Multiple Dynamic Objects K Dhal, P Karmokar, A Chakravarthy, WJ Beksi Journal of Intelligent & Robotic Systems 105 (3), 66, 2022	9	2022
Signature of Topologically Persistent Points for 3D Point Cloud Description WJ Beksi, N Papanikolopoulos IEEE International Conference on Robotics and Automation (ICRA), 3229-3234, 2018	8	2018
Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions M Davoodi, A Iqbal, JM Cloud, WJ Beksi, NR Gans IEEE Transactions on Automation Science and Engineering, 2022	7	2022
Vision-Based Guidance for Tracking Dynamic Objects P Karmokar, K Dhal, WJ Beksi, A Chakravarthy International Conference on Unmanned Aircraft Systems (ICUAS), 1106-1115, 2021	7	2021
Metamax: Improved Open-Set Deep Neural Networks via Weibull Calibration Z Lyu, NB Gutierrez, WJ Beksi IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2023	6	2023
Citdet: A Benchmark Dataset for Citrus Fruit Detection JA James, HK Manching, MR Mattia, KD Bowman, AM Hulse-Kemp, ... IEEE Robotics and Automation Letters 9 (12), 10788-10795, 2024	5	2024
Variable Rate Compression for Raw 3d Point Clouds MA Al Muzaddid, WJ Beksi International Conference on Robotics and Automation (ICRA), 8748-8755, 2022	5	2022

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