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, robot learning, 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

I will be a 2024 ONR Summer Faculty Fellow at NSWCDD
Our AFRL-sponsored 3D computer vision project was featured as a UTA news release
I'll serve as an Associate Editor for IROS 2024
I will serve as a Guest Editor for a Drones special issue on Artificial Intelligence and Machine Learning in UAV Technology
I presented my lab's latest work to the AFRL Materials and Manufacturing Directorate
I will serve as an Associate Editor for IEEE Transactions on Automation Science and Engineering

I will serve as an Associate Editor for UR 2024

I received a USDA grant to create computer vision tools for automating high-throughput crop phenotyping

In collaboration with krtkl, we've been awarded a U.S. Air Force Phase II contract to develop a 3D vision system for advanced manufacturing

I'll serve as an Associate Editor for ICRA 2024

Dongchul Kim and I were awarded a grant from Google to explore causal reinforcement learning

I will be a 2023 ONR Summer Faculty Fellow at NSWCDD

Nick Gans, Katie Skinner, and I will be organizing the first workshop on Photorealistic Image and Environment Synthesis for Robotics at IROS 2023

I will serve on the Program Committee of ICVS 2023

I'll serve as an Associate Editor for IROS 2023

I will serve as an Associate Editor for UR 2023

I've been invited to give a talk at the First Workshop on Photorealistic Image and Environment Synthesis for Computer Vision at WACV 2023

I will be working with krtkl to create a neuromorphic stereo vision system for the U.S. Space Force as part of the Orbital Prime program

I will be a 2022 ONR Summer Faculty Fellow at NSWCDD

I have received a generous donation of tools from Stanley Black & Decker

I will serve as an Associate Editor for UR 2022

In collaboration with krtkl, we've been awarded a U.S. Air Force Phase I contract to develop a 3D vision system for advanced manufacturing

I've joined the Standard for Measuring Robot Agility (IEEE P2940) working group

Our work on thermal image super-resolution was an ICVS 2021 Best Conference Paper Award finalist

Our work on probabilistic movement primitive control by control barrier functions was a CASE 2021 Best Conference Paper Award finalist

I have graciously received a set of Jetson Nano 2GB Developer Kits through the NVIDIA Grant Program

I will be chairing the session "Stereo Vision Applications" at ICRA 2021

I'll serve as an Associate Editor for UR 2021

Our work on generating dense and colored 3D point cloud objects has been featured as a TACC-enabled science story

I will be a Faculty Chair for the IROS 2020 tutorial Space Robotics for In-Situ Resource Utilization: Needs, Challenges, and Approaches

I've been awarded an NSF REU Supplement

Animesh Chakravarthy and I have received a UTA Research Enhancement Program grant to explore vision-based collision avoidance for UAVs

I received an NSF CRII Award to investigate topological methods for robotic perception

I've accepted an invitation to be an Associate Editor for UR 2020

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Publications

Few-Shot Fruit Segmentation via Transfer Learning

J.A. James, H.K. Manching, A.M. Hulse-Kemp, and W.J. Beksi
IEEE International Conference on Robotics and Automation (ICRA), 2024
Paper • Preprint • Source Code • Citation

NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting

M.A.A Muzaddid and W.J. Beksi
IEEE Transactions on Automation Science and Engineering, 2023
Paper • Preprint • Website • Citation

IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction

M.S. Arshad and W.J. Beksi
Journal of Visual Communication and Image Representation, 2023
Paper • Preprint • Source Code • Citation

LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction

M.S. Arshad and W.J. Beksi
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Paper • Supplement • Preprint • Source Code • Citation

Lunar Excavator Mission Operations using Dynamic Movement Primitives

J.M. Cloud, M.Q. Tram, W.J. Beksi, and M.A. DuPuis
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Paper • Preprint • Citation

Intuitive Robot Integration via Virtual Reality Workspaces

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

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

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

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

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

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
IEEE 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
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Workshops, 2022
Paper • Preprint • Citation

Vision-Based Guidance for Tracking Multiple Dynamic Objects

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

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
IEEE International Conference on Robotics and Automation (ICRA), 2022
Paper • Preprint • Source Code • Citation

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 • Preprint • Source Code • Citation

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
IEEE International Conference on Automation Science and Engineering (CASE), 2021
Paper • Preprint • Source Code • Citation

Probabilistic Movement Primitive Control via Control Barrier Functions

M. Davoodi, A. Iqbal, J.M. Cloud, W.J. Beksi, and N.R. Gans
IEEE 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 • Preprint • Source Code • Citation

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
IEEE/CVF 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
IEEE International Conference on Robotics and Automation (ICRA), 2021
Paper • Preprint • Source Code • Citation

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 • Preprint • Source Code • Citation

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 • Preprint • 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
IEEE/CVF 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 • Preprint • Citation