Francis Engelmann

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Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityDirección de correo verificada de vision.rwth-aachen.de
Theodora KontogianniETH ZürichDirección de correo verificada de inf.ethz.ch
Jonas SchultMeta GenAIDirección de correo verificada de rwth-aachen.de
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftDirección de correo verificada de inf.ethz.ch
Federico TombariGoogle, TU MunichDirección de correo verificada de in.tum.de
Ayca TakmazETH ZurichDirección de correo verificada de ethz.ch
Siyu TangETH ZürichDirección de correo verificada de inf.ethz.ch
Jörg StücklerUniversity of AugsburgDirección de correo verificada de uni-a.de
Or LitanyTechnion, NVIDIADirección de correo verificada de nvidia.com
Yuanwen YueETH ZurichDirección de correo verificada de ethz.ch
Martin BokelohPostdoc, Stanford UniversityDirección de correo verificada de stanford.edu
Matthias NießnerProfessor of Computer Science, Technical University of MunichDirección de correo verificada de tum.de
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichDirección de correo verificada de ethz.ch
Alexey NekrasovRWTH Aachen UniversityDirección de correo verificada de rwth-aachen.de
Julian ChibaneMax Planck Institute for InformaticsDirección de correo verificada de mpi-inf.mpg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenDirección de correo verificada de uni-tuebingen.de
Elisabetta FedeleETH ZurichDirección de correo verificada de ethz.ch
Hermann BlumAssistant Prof Uni Bonn & Lamarr Institute | previously ASL & CVG @ ETH ZürichDirección de correo verificada de uni-bonn.de
Keisuke TatenoGoogle, TU Munich.Dirección de correo verificada de google.com
Cathrin ElichPhD Student, Max Planck Institute for Intelligent Systems, ETH ZürichDirección de correo verificada de tuebingen.mpg.de

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Francis Engelmann

Stanford University

Dirección de correo verificada de cs.stanford.edu - Página principal

3D Scene Understanding Computer Vision Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds F Engelmann, T Kontogianni, A Hermans, B Leibe Proceedings of the IEEE International Conference on Computer Vision, 3DRMS …, 2017	324	2017
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation F Engelmann, M Bokeloh, A Fathi, B Leibe, M Nießner IEEE Conference on Computer Vision and Pattern Recognition (CVPR'20), 2020	245	2020
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation J Schult, F Engelmann, A Hermans, O Litany, S Tang, B Leibe IEEE International Conference on Robotics and Automation (ICRA), 2023, 2023	163	2023
Mix3D: Out-of-Context Data Augmentation for 3D Scenes A Nekrasov, J Schult, O Litany, B Leibe, F Engelmann International Conference on 3D Vision (3DV), 2021, 2021	161	2021
OpenMask3D: Open-Vocabulary 3D Instance Segmentation A Takmaz, E Fedele, RW Sumner, M Pollefeys, F Tombari, F Engelmann Conference on Neural Information Processing Systems (NeurIPS), 2023, 2023	141	2023
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds F Engelmann, T Kontogianni, J Schult, B Leibe IEEE European Conference on Computer Vision, GMDL Workshop (ECCV'18), 2018	135	2018
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds F Engelmann, T Kontogianni, B Leibe IEEE International Conference on Robotics and Automation (ICRA'20), 2020	115	2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes. J Schult, F Engelmann, T Kontogianni, B Leibe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'20), 2020	105	2020
Or Litany, Siyu Tang, and Bastian Leibe. Mask3d for 3d semantic instance segmentation J Schult, F Engelmann, A Hermans arXiv preprint arXiv:2210.03105 1 (2), 3, 2022	102	2022
Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors F Engelmann, J Stückler, B Leibe German Conference on Pattern Recognition (GCPR'16), 219-230, 2016	73	2016
3D-BEVIS: Bird’s-Eye-View Instance Segmentation C Elich, F Engelmann, T Kontogianni, B Leibe German Conference on Pattern Recognition, 48-61, 2019	72	2019
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes J Chibane, F Engelmann, TA Tran, G Pons-Moll European Conference on Computer Vision (ECCV), 2022, 2022	65	2022
Keyframe-based Visual-inertial Online SLAM with Relocalization A Kasyanov, F Engelmann, J Stckler, B Leibe RSJ International Conference on Intelligent Robots and Systems (IROS), 6662-6669, 2017	59	2017
From Points to Multi-Object 3D Reconstruction F Engelmann, K Rematas, B Leibe, V Ferrari IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021	54	2021
Multi-scale Object Candidates for Generic Object Tracking in Street Scenes A Ošep, A Hermans, F Engelmann, D Klostermann, M Mathias, B Leibe IEEE International Conference on Robotics and Automation (ICRA), 2016, 3180-3187, 2016	51	2016
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction F Engelmann, J Stückler, B Leibe IEEE Winter Conference on Applications of Computer Vision (WACV'17), 400-408, 2017	40	2017
Dilated point convolutions: On the receptive field of point convolutions F Engelmann, T Kontogianni, B Leibe arXiv preprint arXiv:1907.12046 2, 2019	35	2019
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation L Kreuzberg, IE Zulfikar, S Mahadevan, F Engelmann, B Leibe European Conference on Computer Vision Workshops (ECCVW'22), 2022	33	2022
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries Y Yue, T Kontogianni, K Schindler, F Engelmann IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023	32	2023
3D Segmentation of Humans in Point Clouds with Synthetic Data A Takmaz, J Schult, I Kaftan, M Akçay, R Sumner, B Leibe, F Engelmann, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2023, 2023	26	2023

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