William J. Beksi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Dictionary Learning

Top Venues

Publications

Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
Few-Shot Fruit Segmentation via Transfer Learning. CoRR (2024)
Minh Q. Tram, Nolan B. Gutierrez, William J. Beksi
A Human-Centered Approach for Bootstrapping Causal Graph Creation. CoRR (2024)
Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
Few-Shot Fruit Segmentation via Transfer Learning. ICRA (2024)
Mohammad Samiul Arshad, William J. Beksi
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. CoRR (2023)
Mohammad Samiul Arshad, William J. Beksi
IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction. J. Vis. Commun. Image Represent. 97 (2023)
Joseph M. Cloud, Minh Q. Tram, William J. Beksi, Michael A. DuPuis
Lunar Excavator Mission Operations Using Dynamic Movement Primitives. IROS (2023)
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. WACV (Workshops) (2023)
Md Ahmed Al Muzaddid, William J. Beksi
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. CoRR (2023)
Mohammad Samiul Arshad, William J. Beksi
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. ICCV (2023)
Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions. IEEE Trans Autom. Sci. Eng. 20 (3) (2023)
Minh Q. Tram, Joseph M. Cloud, William J. Beksi
Intuitive Robot Integration via Virtual Reality Workspaces. ICRA (2023)
Minh Q. Tram, Joseph M. Cloud, William J. Beksi
Intuitive Robot Integration via Virtual Reality Workspaces. CoRR (2023)
Quan H. Nguyen, William J. Beksi
Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. WACV (2023)
Mohammad Samiul Arshad, William J. Beksi
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction. CoRR (2023)
Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi
CitDet: A Benchmark Dataset for Citrus Fruit Detection. CoRR (2023)
Quan H. Nguyen, William J. Beksi
Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. CoRR (2022)
Kashish Dhal, Pritam Karmokar, Animesh Chakravarthy, William J. Beksi
Vision-Based Guidance for Tracking Multiple Dynamic Objects. J. Intell. Robotic Syst. 105 (3) (2022)
Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions. Frontiers Robotics AI 9 (2022)
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. CoRR (2022)
Mohammad Samiul Arshad, William J. Beksi
Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. CoRR (2022)
Md Ahmed Al Muzaddid, William J. Beksi
Variable Rate Compression for Raw 3D Point Clouds. ICRA (2022)
Md Ahmed Al Muzaddid, William J. Beksi
Variable Rate Compression for Raw 3D Point Clouds. CoRR (2022)
Mohammad Samiul Arshad, William J. Beksi
Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. ISMAR Adjunct (2022)
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
Evaluating Uncertainty Calibration for Open-Set Recognition. CoRR (2022)
Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
Probabilistic Movement Primitive Control via Control Barrier Functions. CASE (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, Jiaxin Yao, Rongyuan Wu, Kai Feng, Ning Li, Yongqiang Zhao, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Feras Almasri, Thomas Vandamme, Olivier Debeir, Nolan B. Gutierrez, Quan H. Nguyen, William J. Beksi
Thermal Image Super-Resolution Challenge - PBVS 2021. CVPR Workshops (2021)
Christopher Collander, William J. Beksi, Manfred Huber
Learning the Next Best View for 3D Point Clouds via Topological Features. CoRR (2021)
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
An Uncertainty Estimation Framework for Probabilistic Object Detection. CoRR (2021)
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
An Uncertainty Estimation Framework for Probabilistic Object Detection. CASE (2021)
Nolan B. Gutierrez, William J. Beksi
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. ICVS (2021)
Christopher Collander, William J. Beksi, Manfred Huber
Learning the Next Best View for 3D Point Clouds via Topological Features. ICRA (2021)
Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy
Vision-Based Guidance for Tracking Dynamic Objects. CoRR (2021)
Nolan B. Gutierrez, William J. Beksi
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. CoRR (2021)
Aditya Rajguru, Christopher Collander, William J. Beksi
Camera-Based Adaptive Trajectory Guidance via Neural Networks. CoRR (2020)
Zongyao Lyu, Nolan Gutierrez, Aditya Rajguru, William J. Beksi
Probabilistic Object Detection via Deep Ensembles. ECCV Workshops (6) (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, Kiran B. Raja, Christoph Busch, Feras Almasri, Olivier Debeir, Sabari Nathan, Priya Kansal, Nolan Gutierrez, Bardia Mojra, William J. Beksi
Thermal Image Super-Resolution Challenge - PBVS 2020. CVPR Workshops (2020)
Aditya Rajguru, Christopher Collander, William J. Beksi
Camera-Based Adaptive Trajectory Guidance via Neural Networks. ICMRE (2020)
Mohammad Samiul Arshad, William J. Beksi
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. CoRR (2020)
Mohammad Samiul Arshad, William J. Beksi
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. 3DV (2020)
William J. Beksi, Nikolaos Papanikolopoulos
A topology-based descriptor for 3D point cloud modeling: Theory and experiments. Image Vis. Comput. 88 (2019)
William J. Beksi, Nikolaos Papanikolopoulos
Signature of Topologically Persistent Points for 3D Point Cloud Description. ICRA (2018)
William J. Beksi, Nikolaos Papanikolopoulos
3D region segmentation using topological persistence. IROS (2016)
William J. Beksi, Nikolaos Papanikolopoulos
3D point cloud segmentation using topological persistence. ICRA (2016)
Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos
Covariance based point cloud descriptors for object detection and recognition. Comput. Vis. Image Underst. 142 (2016)
William J. Beksi, Nikolaos Papanikolopoulos
Object classification using dictionary learning and RGB-D covariance descriptors. ICRA (2015)
William J. Beksi, John Spruth, Nikolaos Papanikolopoulos
CORE: A Cloud-based Object Recognition Engine for robotics. IROS (2015)
Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos
Occlusion alleviation through motion using a mobile robot. ICRA (2014)
Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos
RGB-D object classification using covariance descriptors. ICRA (2014)
William J. Beksi, Nikolaos Papanikolopoulos
Point cloud culling for robot vision tasks under communication constraints. IROS (2014)