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William J. Beksi

I am an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. I'm also the founder and director of the Robotic Vision Laboratory. My research focuses on robot perception, human-robot interaction, and autonomous systems. I am interested in developing algorithms that enable machines to learn from their interactions with the physical world and autonomously acquire skills necessary to execute complex tasks over time.

Prospective students: If you are a current student at UT Arlington then please fill out this form. Otherwise, please apply directly to the PhD program and mention my name in your application. I am actively recruiting undergraduate/graduate students, who are U.S. citizens, to work on DoD-related projects.

Email: william.beksi at uta.edu
Office: Engineering Research Building 523, 500 UTA Blvd, Arlington, TX 76019

News

Publications

Intuitive Robot Integration via Virtual Reality Workspaces

M.Q. Tram, J.M. Cloud and W.J. Beksi
International Conference on Robotics and Automation (ICRA), 2023
Paper  •   Citation  •   Code

MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration

Z. Lyu, N.B. Gutierrez and W.J. Beksi
Winter Conference on Applications of Computer Vision (WACV) Workshops, 2023
Paper  •   Citation

Single Image Super-Resolution via a Dual Interactive Implicit Neural Network

Q.H. Nguyen and W.J. Beksi
Winter Conference on Applications of Computer Vision (WACV), 2023
Paper  •   Citation  •   Code

Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions

M. Davoodi, A. Iqbal, J.M. Cloud, W.J. Beksi and N.R. Gans
Transactions on Automation Science and Engineering, 2022
Paper  •   Citation

Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds

M.S. Arshad and W.J. Beksi
International Symposium on Mixed and Augmented Reality (ISMAR) Workshops, 2022
Paper  •   Citation

Vision-Based Guidance for Tracking Multiple Dynamic Objects

K. Dhal, P. Karmokar, W.J. Beksi and A. Chakravarthy
Journal of Intelligent & Robotic Systems, 2022
Paper  •   Citation  •   Code

Safe Robot Trajectory Control using Probabilistic Movement Primitives and Control Barrier Functions

M. Davoodi, A. Iqbal, J.M. Cloud, W.J. Beksi and N.R. Gans
Frontiers in Robotics and AI, 2022
Paper  •   Citation

Variable Rate Compression for Raw 3D Point Clouds

M.A.A Muzaddid and W.J. Beksi
International Conference on Robotics and Automation (ICRA), 2022
Paper  •   Citation  •   Code

Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

N.B. Gutierrez and W.J. Beksi
International Conference on Computer Vision Systems (ICVS), 2021
Best Conference Paper Award Finalist  •   Paper  •   Citation  •   Code

Safe Human-Robot Coetaneousness Through Model Predictive Control Barrier Functions and Motion Distributions

M. Davoodi, J.M. Cloud, A. Iqbal, W.J. Beksi and N.R. Gans
Modeling, Estimation, and Control Conference (MECC), 2021
Paper  •   Citation

An Uncertainty Estimation Framework for Probabilistic Object Detection

Z. Lyu, N.B. Gutierrez and W.J. Beksi
International Conference on Automation Science and Engineering (CASE), 2021
Paper  •   Citation  •   Code

Probabilistic Movement Primitive Control via Control Barrier Functions

M. Davoodi, A. Iqbal, J.M. Cloud, W.J. Beksi and N.R. Gans
International Conference on Automation Science and Engineering (CASE), 2021
Best Conference Paper Award Finalist  •   Paper  •   Citation

Vision-Based Guidance for Tracking Dynamic Objects

P. Karmokar, K. Dhal, W.J. Beksi and A. Chakravarthy
International Conference on Unmanned Aircraft Systems (ICUAS), 2021
Paper  •   Citation  •   Code

Thermal Image Super-Resolution Challenge - PBVS 2021

R.E. Rivadeneira, A.D. Sappa, B.X. Vintimilla, S. Nathan, P. Kansal, A. Mehri, P.B. Ardakani, A. Dalal, A. Akula, D. Sharma, S. Pandey, B. Kumar, J. Yao, R. Wu, K. Feng, N. Li, Y. Zhao, H. Patel, V. Chudasama, K. Prajapati, A. Sarvaiya, K.P. Upla, K. Raja, R. Ramachandra, C. Busch, F. Almasri, T. Vandamme, O. Debeir, N.B. Gutierrez, Q.H. Nguyen and W.J. Beksi
Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
Paper  •   Citation  •   Webpage

Learning the Next Best View for 3D Point Clouds via Topological Features

C. Collander, W.J. Beksi and M. Huber
International Conference on Robotics and Automation (ICRA), 2021
Paper  •   Citation  •   Code

A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds

M.S. Arshad and W.J. Beksi
International Conference on 3D Vision (3DV), 2020
Paper  •   Citation  •   Code

Probabilistic Object Detection via Deep Ensembles

Z. Lyu, N. Gutierrez, A. Rajguru and W.J. Beksi
European Conference on Computer Vision (ECCV) Workshops, 2020
Paper  •   Citation  •   Webpage

Thermal Image Super-Resolution Challenge - PBVS 2020

R.E. Rivadeneira, A.D. Sappa, B.X. Vintimilla, L. Guo, J. Hou, A. Merhi, P. Behjati, A.H. Patel, V. Chudasama, K. Prajapati, K.P. Upla, R. Ramachandra, K. Raja, C. Busch, F. Almasri, O. Debeir, S. Nathan, P. Kansal, N. Gutierrez, B. Mojra and W.J. Beksi
Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
Paper  •   Citation  •   Webpage

Camera-Based Adaptive Trajectory Guidance via Neural Networks

A. Rajguru, C. Collander and W.J. Beksi
International Conference on Mechatronics and Robotics Engineering (ICMRE), 2020
Best Presentation Award  •   Paper  •   Citation

A Topology-Based Descriptor for 3D Point Cloud Modeling: Theory and Experiments

W.J. Beksi and N. Papanikolopoulos
Image and Vision Computing, 2019
Paper  •   Citation

Teaching

Sponsors