William J. Beksi

IEEE Trans Autom. Sci. Eng., October, 2024

Secrets of Edge-Informed Contrast Maximization for Event-Based Vision.

[BibT_eX]

[DOI]

Pritam Karmokar

Quan H. Nguyen

CoRR, 2024

A Human-Centered Approach for Bootstrapping Causal Graph Creation.

[BibT_eX]

[DOI]

Minh Q. Tram

CoRR, 2024

Few-Shot Fruit Segmentation via Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., December, 2023

Rule-Based Safe Probabilistic Movement Primitive Control via Control Barrier Functions.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., July, 2023

CitDet: A Benchmark Dataset for Citrus Fruit Detection.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Quan H. Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Lunar Excavator Mission Operations Using Dynamic Movement Primitives.

[BibT_eX]

[DOI]

IROS, 2023

Intuitive Robot Integration via Virtual Reality Workspaces.

[BibT_eX]

[DOI]

Minh Q. Tram

Joseph M. Cloud

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Vision-Based Guidance for Tracking Multiple Dynamic Objects.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2022

Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2022

Evaluating Uncertainty Calibration for Open-Set Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Reconstruction of 3D Open Surfaces from Sparse Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Variable Rate Compression for Raw 3D Point Clouds.

[BibT_eX]

[DOI]

Md Ahmed Al Muzaddid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Vision-Based Guidance for Tracking Dynamic Objects.

[BibT_eX]

[DOI]

CoRR, 2021

Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

Learning the Next Best View for 3D Point Clouds via Topological Features.

[BibT_eX]

[DOI]

Christopher Collander

Manfred Huber

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Thermal Image Super-Resolution Challenge - PBVS 2021.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

An Uncertainty Estimation Framework for Probabilistic Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Probabilistic Movement Primitive Control via Control Barrier Functions.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Camera-Based Adaptive Trajectory Guidance via Neural Networks.

[BibT_eX]

[DOI]

Aditya Rajguru

Christopher Collander

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

Probabilistic Object Detection via Deep Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Thermal Image Super-Resolution Challenge - PBVS 2020.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

A topology-based descriptor for 3D point cloud modeling: Theory and experiments.

[BibT_eX]

[DOI]

Image Vis. Comput., 2019

2018

Signature of Topologically Persistent Points for 3D Point Cloud Description.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

Covariance based point cloud descriptors for object detection and recognition.

[BibT_eX]

[DOI]

Duc Fehr

Dimitris Zermas

Comput. Vis. Image Underst., 2016

3D region segmentation using topological persistence.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

3D point cloud segmentation using topological persistence.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

CORE: A Cloud-based Object Recognition Engine for robotics.

[BibT_eX]

[DOI]

John Spruth

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Object classification using dictionary learning and RGB-D covariance descriptors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Point cloud culling for robot vision tasks under communication constraints.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

RGB-D object classification using covariance descriptors.

[BibT_eX]

[DOI]

Duc Fehr

Dimitris Zermas

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Occlusion alleviation through motion using a mobile robot.

[BibT_eX]

[DOI]

Duc Fehr

Dimitris Zermas