William J. Beksi

63 papers A* 12A 6C 1Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting. CoRR Md Ahmed Al Muzaddid, William J. Beksi
2026	J	`jnl`	Movement Primitives in Robotics: A Comprehensive Survey. CoRR Nolan B. Gutierrez, William J. Beksi
2026	J	`jnl`	UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow. CoRR Nick Truong, Pritam Karmokar, William J. Beksi
2025	J	`jnl`	Agent deception via polynomial path planning. Eng. Appl. Artif. Intell. Nolan B. Gutierrez, Brian M. Sadler, William J. Beksi
2025	J	`jnl`	CropTrack: A Tracking with Re-Identification Framework for Precision Agriculture. CoRR Md Ahmed Al Muzaddid, Jordan A. James, William J. Beksi
2025	J	`jnl`	Inertia-Informed Orientation Priors for Event-Based Optical Flow Estimation. CoRR Pritam Karmokar, William J. Beksi
2025	A*	`conf`	Instance Segmentation-Based Hazard Detection with Lunar South Pole Lighting. ICRA Joseph M. Cloud, Bradley C. Buckles, Thomas J. Muller, William J. Beksi, Jason M. Schuler
2025	J	`jnl`	Person Re-Identification via Generalized Class Prototypes. CoRR Md Ahmed Al Muzaddid, William J. Beksi
2025	A	`conf`	Secrets of Edge-Informed Contrast Maximization for Event-Based Vision. WACV Pritam Karmokar, Quan H. Nguyen, William J. Beksi
2025	A*	`conf`	Vision-Based Movement Primitives for Lunar Hazard Avoidance. ICRA Joseph M. Cloud, William J. Beksi, Jason M. Schuler
2024	J	`jnl`	A Human-Centered Approach for Bootstrapping Causal Graph Creation. CoRR Minh Q. Tram, Nolan B. Gutierrez, William J. Beksi
2024	A*	`conf`	Few-Shot Fruit Segmentation via Transfer Learning. ICRA Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
2024	J	`jnl`	Few-Shot Fruit Segmentation via Transfer Learning. CoRR Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
2024	J	`jnl`	NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. IEEE Trans Autom. Sci. Eng. Md Ahmed Al Muzaddid, William J. Beksi
2024	J	`jnl`	Secrets of Edge-Informed Contrast Maximization for Event-Based Vision. CoRR Pritam Karmokar, Quan H. Nguyen, William J. Beksi
2024	—	`conf`	Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. ICPR (1) Zongyao Lyu, William J. Beksi
2024	J	`jnl`	Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. CoRR Zongyao Lyu, William J. Beksi
2023	J	`jnl`	CitDet: A Benchmark Dataset for Citrus Fruit Detection. CoRR Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi
2023	J	`jnl`	IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction. CoRR Mohammad Samiul Arshad, William J. Beksi
2023	J	`jnl`	IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction. J. Vis. Commun. Image Represent. Mohammad Samiul Arshad, William J. Beksi
2023	A*	`conf`	Intuitive Robot Integration via Virtual Reality Workspaces. ICRA Minh Q. Tram, Joseph M. Cloud, William J. Beksi
2023	J	`jnl`	Intuitive Robot Integration via Virtual Reality Workspaces. CoRR Minh Q. Tram, Joseph M. Cloud, William J. Beksi
2023	A*	`conf`	LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. ICCV Mohammad Samiul Arshad, William J. Beksi
2023	J	`jnl`	LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. CoRR Mohammad Samiul Arshad, William J. Beksi
2023	A	`conf`	Lunar Excavator Mission Operations Using Dynamic Movement Primitives. IROS Joseph M. Cloud, Minh Q. Tram, William J. Beksi, Michael A. DuPuis
2023	—	`conf`	MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. WACV (Workshops) Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
2023	J	`jnl`	NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. CoRR Md Ahmed Al Muzaddid, William J. Beksi
2023	J	`jnl`	Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions. IEEE Trans Autom. Sci. Eng. Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
2023	A	`conf`	Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. WACV Quan H. Nguyen, William J. Beksi
2022	—	`conf`	Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. ISMAR Adjunct Mohammad Samiul Arshad, William J. Beksi
2022	J	`jnl`	Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. CoRR Mohammad Samiul Arshad, William J. Beksi
2022	J	`jnl`	Evaluating Uncertainty Calibration for Open-Set Recognition. CoRR Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
2022	J	`jnl`	MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. CoRR Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
2022	J	`jnl`	Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions. Frontiers Robotics AI Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
2022	J	`jnl`	Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. CoRR Quan H. Nguyen, William J. Beksi
2022	A*	`conf`	Variable Rate Compression for Raw 3D Point Clouds. ICRA Md Ahmed Al Muzaddid, William J. Beksi
2022	J	`jnl`	Variable Rate Compression for Raw 3D Point Clouds. CoRR Md Ahmed Al Muzaddid, William J. Beksi
2022	J	`jnl`	Vision-Based Guidance for Tracking Multiple Dynamic Objects. J. Intell. Robotic Syst. Kashish Dhal, Pritam Karmokar, Animesh Chakravarthy, William J. Beksi
2021	—	`conf`	An Uncertainty Estimation Framework for Probabilistic Object Detection. CASE Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
2021	J	`jnl`	An Uncertainty Estimation Framework for Probabilistic Object Detection. CoRR Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
2021	A*	`conf`	Learning the Next Best View for 3D Point Clouds via Topological Features. ICRA Christopher Collander, William J. Beksi, Manfred Huber
2021	J	`jnl`	Learning the Next Best View for 3D Point Clouds via Topological Features. CoRR Christopher Collander, William J. Beksi, Manfred Huber
2021	—	`conf`	Probabilistic Movement Primitive Control via Control Barrier Functions. CASE Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans
2021	—	`conf`	Thermal Image Super-Resolution Challenge - PBVS 2021. CVPR Workshops 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
2021	C	`conf`	Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. ICVS Nolan B. Gutierrez, William J. Beksi
2021	J	`jnl`	Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. CoRR Nolan B. Gutierrez, William J. Beksi
2021	J	`jnl`	Vision-Based Guidance for Tracking Dynamic Objects. CoRR Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy
2020	—	`conf`	A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. 3DV Mohammad Samiul Arshad, William J. Beksi
2020	J	`jnl`	A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. CoRR Mohammad Samiul Arshad, William J. Beksi
2020	—	`conf`	Camera-Based Adaptive Trajectory Guidance via Neural Networks. ICMRE Aditya Rajguru, Christopher Collander, William J. Beksi
2020	J	`jnl`	Camera-Based Adaptive Trajectory Guidance via Neural Networks. CoRR Aditya Rajguru, Christopher Collander, William J. Beksi
2020	—	`conf`	Probabilistic Object Detection via Deep Ensembles. ECCV Workshops (6) Zongyao Lyu, Nolan Gutierrez, Aditya Rajguru, William J. Beksi
2020	—	`conf`	Thermal Image Super-Resolution Challenge - PBVS 2020. CVPR Workshops 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
2019	J	`jnl`	A topology-based descriptor for 3D point cloud modeling: Theory and experiments. Image Vis. Comput. William J. Beksi, Nikolaos Papanikolopoulos
2018	A*	`conf`	Signature of Topologically Persistent Points for 3D Point Cloud Description. ICRA William J. Beksi, Nikolaos Papanikolopoulos
2016	A*	`conf`	3D point cloud segmentation using topological persistence. ICRA William J. Beksi, Nikolaos Papanikolopoulos
2016	A	`conf`	3D region segmentation using topological persistence. IROS William J. Beksi, Nikolaos Papanikolopoulos
2016	J	`jnl`	Covariance based point cloud descriptors for object detection and recognition. Comput. Vis. Image Underst. Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos
2015	A	`conf`	CORE: A Cloud-based Object Recognition Engine for robotics. IROS William J. Beksi, John Spruth, Nikolaos Papanikolopoulos
2015	A*	`conf`	Object classification using dictionary learning and RGB-D covariance descriptors. ICRA William J. Beksi, Nikolaos Papanikolopoulos
2014	A*	`conf`	Occlusion alleviation through motion using a mobile robot. ICRA Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos
2014	A	`conf`	Point cloud culling for robot vision tasks under communication constraints. IROS William J. Beksi, Nikolaos Papanikolopoulos
2014	A*	`conf`	RGB-D object classification using covariance descriptors. ICRA Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos