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ORCIDWilliam J. Beksi
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2020 – today
- 2024
[j7]Md Ahmed Al Muzaddid, William J. Beksi:
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. IEEE Trans Autom. Sci. Eng. 21(4): 7452-7464 (2024)- [c25]Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi:
Few-Shot Fruit Segmentation via Transfer Learning. ICRA 2024: 13618-13624 - [i20]Minh Q. Tram, Nolan B. Gutierrez, William J. Beksi:
A Human-Centered Approach for Bootstrapping Causal Graph Creation. CoRR abs/2403.01622 (2024) - [i19]Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi:
Few-Shot Fruit Segmentation via Transfer Learning. CoRR abs/2405.02556 (2024) - [i18]Zongyao Lyu, William J. Beksi:
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. CoRR abs/2408.12774 (2024) - [i17]Pritam Karmokar, Quan H. Nguyen, William J. Beksi:
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision. CoRR abs/2409.14611 (2024) - 2023
- [j6]Mohammad Samiul Arshad, William J. Beksi
:
IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction. J. Vis. Commun. Image Represent. 97: 103970 (2023) - [j5]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): 1500-1514 (2023) - [c24]Mohammad Samiul Arshad, William J. Beksi:
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. ICCV 2023: 9287-9296 - [c23]Minh Q. Tram, Joseph M. Cloud, William J. Beksi:
Intuitive Robot Integration via Virtual Reality Workspaces. ICRA 2023: 11654-11660 - [c22]Joseph M. Cloud, Minh Q. Tram, William J. Beksi, Michael A. DuPuis:
Lunar Excavator Mission Operations Using Dynamic Movement Primitives. IROS 2023: 10708-10715 - [c21]Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi:
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. WACV (Workshops) 2023: 439-443 - [c20]Quan H. Nguyen, William J. Beksi:
Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. WACV 2023: 4925-4934 - [i16]Minh Q. Tram, Joseph M. Cloud, William J. Beksi:
Intuitive Robot Integration via Virtual Reality Workspaces. CoRR abs/2305.15657 (2023) - [i15]Mohammad Samiul Arshad, William J. Beksi:
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. CoRR abs/2307.12194 (2023) - [i14]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 abs/2309.05645 (2023) - [i13]Mohammad Samiul Arshad, William J. Beksi:
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction. CoRR abs/2311.02552 (2023) - [i12]Md Ahmed Al Muzaddid, William J. Beksi:
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting. CoRR abs/2312.10922 (2023) - 2022
- [j4]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: 772228 (2022) - [j3]Kashish Dhal, Pritam Karmokar, Animesh Chakravarthy, William J. Beksi:
Vision-Based Guidance for Tracking Multiple Dynamic Objects. J. Intell. Robotic Syst. 105(3): 66 (2022) - [c19]Md Ahmed Al Muzaddid, William J. Beksi:
Variable Rate Compression for Raw 3D Point Clouds. ICRA 2022: 8748-8755 - [c18]Mohammad Samiul Arshad, William J. Beksi:
Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. ISMAR Adjunct 2022: 216-221 - [i11]Md Ahmed Al Muzaddid, William J. Beksi:
Variable Rate Compression for Raw 3D Point Clouds. CoRR abs/2202.13862 (2022) - [i10]Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi:
Evaluating Uncertainty Calibration for Open-Set Recognition. CoRR abs/2205.07160 (2022) - [i9]Quan H. Nguyen, William J. Beksi:
Single Image Super-Resolution via a Dual Interactive Implicit Neural Network. CoRR abs/2210.12593 (2022) - [i8]Mohammad Samiul Arshad, William J. Beksi:
Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds. CoRR abs/2210.15059 (2022) - [i7]Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi:
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. CoRR abs/2211.10872 (2022) - 2021
- [c17]Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans:
Probabilistic Movement Primitive Control via Control Barrier Functions. CASE 2021: 697-703 - [c16]Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi:
An Uncertainty Estimation Framework for Probabilistic Object Detection. CASE 2021: 1441-1446 - [c15]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: 4359-4367 - [c14]Christopher Collander, William J. Beksi, Manfred Huber:
Learning the Next Best View for 3D Point Clouds via Topological Features. ICRA 2021: 12207-12213 - [c13]Nolan B. Gutierrez, William J. Beksi:
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. ICVS 2021: 3-13 - [i6]Christopher Collander, William J. Beksi, Manfred Huber:
Learning the Next Best View for 3D Point Clouds via Topological Features. CoRR abs/2103.02789 (2021) - [i5]Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy:
Vision-Based Guidance for Tracking Dynamic Objects. CoRR abs/2104.09301 (2021) - [i4]Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi:
An Uncertainty Estimation Framework for Probabilistic Object Detection. CoRR abs/2106.15007 (2021) - [i3]Nolan B. Gutierrez, William J. Beksi:
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. CoRR abs/2108.00094 (2021) - 2020
- [c12]Mohammad Samiul Arshad, William J. Beksi:
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. 3DV 2020: 712-722 - [c11]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: 432-439 - [c10]Zongyao Lyu, Nolan Gutierrez, Aditya Rajguru, William J. Beksi:
Probabilistic Object Detection via Deep Ensembles. ECCV Workshops (6) 2020: 67-75 - [c9]Aditya Rajguru, Christopher Collander, William J. Beksi:
Camera-Based Adaptive Trajectory Guidance via Neural Networks. ICMRE 2020: 155-159 - [i2]Aditya Rajguru, Christopher Collander, William J. Beksi:
Camera-Based Adaptive Trajectory Guidance via Neural Networks. CoRR abs/2001.03205 (2020) - [i1]Mohammad Samiul Arshad, William J. Beksi:
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. CoRR abs/2010.05391 (2020)
2010 – 2019
- 2019
- [j2]William J. Beksi, Nikolaos Papanikolopoulos:
A topology-based descriptor for 3D point cloud modeling: Theory and experiments. Image Vis. Comput. 88: 84-95 (2019) - 2018
- [c8]William J. Beksi, Nikolaos Papanikolopoulos:
Signature of Topologically Persistent Points for 3D Point Cloud Description. ICRA 2018: 1-6 - 2016
- [j1]Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos:
Covariance based point cloud descriptors for object detection and recognition. Comput. Vis. Image Underst. 142: 80-93 (2016) - [c7]William J. Beksi, Nikolaos Papanikolopoulos:
3D point cloud segmentation using topological persistence. ICRA 2016: 5046-5051 - [c6]William J. Beksi, Nikolaos Papanikolopoulos:
3D region segmentation using topological persistence. IROS 2016: 1079-1084 - 2015
- [c5]William J. Beksi, Nikolaos Papanikolopoulos:
Object classification using dictionary learning and RGB-D covariance descriptors. ICRA 2015: 1880-1885 - [c4]William J. Beksi, John Spruth, Nikolaos Papanikolopoulos:
CORE: A Cloud-based Object Recognition Engine for robotics. IROS 2015: 4512-4517 - 2014
- [c3]Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos:
Occlusion alleviation through motion using a mobile robot. ICRA 2014: 3179-3184 - [c2]Duc Fehr, William J. Beksi, Dimitris Zermas, Nikolaos Papanikolopoulos:
RGB-D object classification using covariance descriptors. ICRA 2014: 5467-5472 - [c1]William J. Beksi, Nikolaos Papanikolopoulos:
Point cloud culling for robot vision tasks under communication constraints. IROS 2014: 3747-3752
Coauthor Index
aka: Nolan B. Gutierrez
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last updated on 2024-10-30 20:30 CET by the dblp team
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