Francis Engelmann

Orcid: 0000-0001-5745-2137

According to our database1, Francis Engelmann authored at least 29 papers between 2016 and 2024.

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Bibliography

2024
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding.
CoRR, 2024

ICGNet: A Unified Approach for Instance-Centric Grasping.
CoRR, 2024

2023
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels.
CoRR, 2023

ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction.
CoRR, 2023

LABELMAKER: Automatic Semantic Label Generation from RGB-D Trajectories.
CoRR, 2023

AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation.
CoRR, 2023

OpenMask3D: Open-Vocabulary 3D Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

3D Segmentation of Humans in Point Clouds with Synthetic Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Mask3D for 3D Semantic Instance Segmentation.
CoRR, 2022

Semantic Instance Segmentation of 3D Scenes Through Weak Bounding Box Supervision.
CoRR, 2022

4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
3D scene understanding on point clouds.
PhD thesis, 2021

From Points to Multi-Object 3D Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mix3D: Out-of-Context Data Augmentation for 3D Scenes.
Proceedings of the International Conference on 3D Vision, 2021

2020
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dilated Point Convolutions: On the Receptive Field of Point Convolutions.
CoRR, 2019

3D-BEVIS: Birds-Eye-View Instance Segmentation.
CoRR, 2019

3D Bird's-Eye-View Instance Segmentation.
Proceedings of the Pattern Recognition, 2019

2018
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Keyframe-based visual-inertial online SLAM with relocalization.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Multi-scale object candidates for generic object tracking in street scenes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors.
Proceedings of the Pattern Recognition - 38th German Conference, 2016


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