Occlusion alleviation through motion using a mobile robot. - Duc Fehr; William J. Beksi; Dimitris Zermas; Nikolaos Papanikolopoulos (ICRA, 2014)

RGB-D object classification using covariance descriptors. - Duc Fehr; William J. Beksi; Dimitris Zermas; Nikolaos Papanikolopoulos (ICRA, 2014)

Point cloud culling for robot vision tasks under communication constraints. - William J. Beksi; Nikolaos Papanikolopoulos (IROS, 2014)

Object classification using dictionary learning and RGB-D covariance descriptors. - William J. Beksi; Nikolaos Papanikolopoulos (ICRA, 2015)

CORE: A Cloud-based Object Recognition Engine for robotics. - William J. Beksi; John Spruth; Nikolaos Papanikolopoulos (IROS, 2015)

3D point cloud segmentation using topological persistence. - William J. Beksi; Nikolaos Papanikolopoulos (ICRA, 2016)

3D region segmentation using topological persistence. - William J. Beksi; Nikolaos Papanikolopoulos (IROS, 2016)

Covariance based point cloud descriptors for object detection and recognition. - Duc Fehr; William J. Beksi; Dimitris Zermas; Nikolaos Papanikolopoulos (Comput. Vis. Image Underst., 2016)

Signature of Topologically Persistent Points for 3D Point Cloud Description. - William J. Beksi; Nikolaos Papanikolopoulos (ICRA, 2018)

A topology-based descriptor for 3D point cloud modeling: Theory and experiments. - William J. Beksi; Nikolaos Papanikolopoulos (Image Vis. Comput., 2019)

A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. - Mohammad Samiul Arshad; William J. Beksi (3DV, 2020)

Thermal Image Super-Resolution Challenge - PBVS 2020. - Rafael E. Rivadeneira; Ángel D. Sappa; Boris Xavier Vintimilla; Lin Guo; Jiankun Hou; Armin Mehri; Parichehr Behjati Ardakani; Heena Patel; Vishal M. Chudasama; Kalpesh Prajapati; Kishor P. Upla; Raghavendra Ramachandra; et al. (CVPR Workshops, 2020)

Probabilistic Object Detection via Deep Ensembles. - Zongyao Lyu; Nolan Gutierrez; Aditya Rajguru; William J. Beksi (ECCV Workshops (6), 2020)

Camera-Based Adaptive Trajectory Guidance via Neural Networks. - Aditya Rajguru; Christopher Collander; William J. Beksi (ICMRE, 2020)

Probabilistic Movement Primitive Control via Control Barrier Functions. - Mohammadreza Davoodi; Asif Iqbal 009; Joseph M. Cloud; William J. Beksi; Nicholas R. Gans (CASE, 2021)

An Uncertainty Estimation Framework for Probabilistic Object Detection. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (CASE, 2021)

Thermal Image Super-Resolution Challenge - PBVS 2021. - Rafael E. Rivadeneira; Ángel D. Sappa; Boris Xavier Vintimilla; Sabari Nathan; Priya Kansal; Armin Mehri; Parichehr Behjati Ardakani; Anurag Dalal; Aparna Akula; Darshika Sharma; Shashwat Pandey; Basant Kumar; et al. (CVPR Workshops, 2021)

Learning the Next Best View for 3D Point Clouds via Topological Features. - Christopher Collander; William J. Beksi; Manfred Huber (ICRA, 2021)

Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. - Nolan B. Gutierrez; William J. Beksi (ICVS, 2021)

Vision-Based Guidance for Tracking Dynamic Objects. - Pritam Karmokar; Kashish Dhal; William J. Beksi; Animesh Chakravarthy (CoRR, 2021)

Variable Rate Compression for Raw 3D Point Clouds. - Md Ahmed Al Muzaddid; William J. Beksi (ICRA, 2022)

Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. - Mohammad Samiul Arshad; William J. Beksi (ISMAR Adjunct, 2022)

Evaluating Uncertainty Calibration for Open-Set Recognition. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (CoRR, 2022)

Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions. - Mohammadreza Davoodi; Asif Iqbal 009; Joseph M. Cloud; William J. Beksi; Nicholas R. Gans (Frontiers Robotics AI, 2022)

Vision-Based Guidance for Tracking Multiple Dynamic Objects. - Kashish Dhal; Pritam Karmokar; Animesh Chakravarthy; William J. Beksi (J. Intell. Robotic Syst., 2022)

LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. - Mohammad Samiul Arshad; William J. Beksi (ICCV, 2023)

Intuitive Robot Integration via Virtual Reality Workspaces. - Minh Q. Tram; Joseph M. Cloud; William J. Beksi (ICRA, 2023)

Lunar Excavator Mission Operations Using Dynamic Movement Primitives. - Joseph M. Cloud; Minh Q. Tram; William J. Beksi; Michael A. DuPuis (IROS, 2023)

MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (WACV (Workshops), 2023)

Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. - Quan H. Nguyen; William J. Beksi (WACV, 2023)

CitDet: A Benchmark Dataset for Citrus Fruit Detection. - Jordan A. James; Heather K. Manching; Matthew R. Mattia; Kim D. Bowman; Amanda M. Hulse-Kemp; William J. Beksi (CoRR, 2023)

Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions. - Mohammadreza Davoodi; Asif Iqbal 009; Joseph M. Cloud; William J. Beksi; Nicholas R. Gans (IEEE Trans Autom. Sci. Eng., 2023)

IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction. - Mohammad Samiul Arshad; William J. Beksi (J. Vis. Commun. Image Represent., 2023)

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. - Zongyao Lyu; William J. Beksi (ICPR (1), 2024)

Few-Shot Fruit Segmentation via Transfer Learning. - Jordan A. James; Heather K. Manching; Amanda M. Hulse-Kemp; William J. Beksi (ICRA, 2024)

A Human-Centered Approach for Bootstrapping Causal Graph Creation. - Minh Q. Tram; Nolan B. Gutierrez; William J. Beksi (CoRR, 2024)

NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. - Md Ahmed Al Muzaddid; William J. Beksi (IEEE Trans Autom. Sci. Eng., 2024)

Secrets of Edge-Informed Contrast Maximization for Event-Based Vision. - Pritam Karmokar; Quan H. Nguyen; William J. Beksi (WACV, 2025)

Agent deception via polynomial path planning. - Nolan B. Gutierrez; Brian M. Sadler; William J. Beksi (Eng. Appl. Artif. Intell., 2025)