Bardienus P. Duisterhof
Vision foundation models for scalable automation
Contact
Publications
Mast3r-sfm: a fully-integrated solution for unconstrained structure-from-motion
BP Duisterhof, L Zust, P Weinzaepfel, V Leroy, Y Cabon, J Revaud
2025 International Conference on 3D Vision (3DV), 1-10, 2025 • 2025
Dynomo: Online point tracking by dynamic online monocular gaussian reconstruction
J Seidenschwarz, Q Zhou, BP Duisterhof, D Ramanan, L Leal-Taixé
2025 International Conference on 3D Vision (3DV), 1012-1021, 2025 • 2025
Cloth-splatting: 3d cloth state estimation from rgb supervision
A Longhini, M Büsching, BP Duisterhof, J Lundell, J Ichnowski, ...
arXiv preprint arXiv:2501.01715, 2025 • 2025
Methods and systems for generating 3d representations of scenes from a plurality of images using pointmaps
J REVAUD, V Leroy, Y Cabon, B CHIDLOVSKI, S WANG, P Weinzaepfel, ...
US Patent App. 18/976,981, 2025 • 2025
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
BP Duisterhof, J Oberst, B Wen, S Birchfield, D Ramanan, J Ichnowski
arXiv preprint arXiv:2506.05285, 2025 • 2025
Hearing the Slide: Acoustic-Guided Constraint Learning for Fast Non-Prehensile Transport
Y Mao, BP Duisterhof, M Lee, J Ichnowski
arXiv preprint arXiv:2506.09169, 2025 • 2025
DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
BP Duisterhof, Z Mandi, Y Yao, JW Liu, J Seidenschwarz, MZ Shou, ...
arXiv preprint arXiv:2312.00583, 2024 • 2024
Residual-nerf: Learning residual nerfs for transparent object manipulation
BP Duisterhof, Y Mao, SH Teng, J Ichnowski
2024 IEEE International Conference on Robotics and Automation (ICRA), 13918 …, 2024 • 2024
Clear-splatting: Learning residual gaussian splats for transparent object manipulation
A Agrawal, R Roy, BP Duisterhof, KB Hekkadka, H Chen, J Ichnowski
RoboNerF: 1st Workshop On Neural Fields In Robotics at ICRA 2024, 2024 • 2024
GSL-Bench: High Fidelity Gas Source Localization Benchmarking Tool
HH Erwich, BP Duisterhof, GCHE de Croon
2024 IEEE International Conference on Robotics and Automation (ICRA), 17672 …, 2024 • 2024
Tiny robot learning: Challenges and directions for machine learning in resource-constrained robots
SM Neuman, B Plancher, BP Duisterhof, S Krishnan, C Banbury, ...
2022 IEEE 4th international conference on artificial intelligence circuits …, 2022 • 2022
The role of compute in autonomous micro aerial vehicles: Optimizing for mission time and energy efficiency
B Boroujerdian, H Genc, S Krishnan, BP Duisterhof, B Plancher, ...
ACM Transactions on Computer Systems (TOCS) 39 (1-4), 1-44, 2022 • 2022
Tartancalib: Iterative wide-angle lens calibration using adaptive subpixel refinement of apriltags
BP Duisterhof, Y Hu, SH Teng, M Kaess, S Scherer
arXiv preprint arXiv:2210.02511, 2022 • 2022
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Flight Time and Energy Efficiency
B Boroujerdian, H Genc, S Krishnan, BP Duisterhof, B Plancher, ...
• 2022
Sniffy bug: A fully autonomous swarm of gas-seeking nano quadcopters in cluttered environments
BP Duisterhof, S Li, J Burgués, VJ Reddi, GCHE De Croon
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 • 2021
Tiny robot learning (tinyrl) for source seeking on a nano quadcopter
BP Duisterhof, S Krishnan, JJ Cruz, CR Banbury, W Fu, A Faust, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 7242-7248, 2021 • 2021
A tailless flapping wing mav performing monocular visual servoing tasks
DA Olejnik, BP Duisterhof, M Karásek, KYW Scheper, T van Dijk, ...
11th International Micro Air Vehicle Competition and Conference, Madrid …, 2019 • 2019
Autonomous landing algorithm using a sun position predicting model for extended use of solar powered UAVs
GC Bardienus Pieter Duisterhof
10th International Micro-Air Vehicles Conference, Melbourne, Australia, 2018 • 2018
Distilling Semantic Features for 3D Cloth Representations from Vision Foundation Models
A Longhini, M Büsching, BP Duisterhof, J Ichnowski, M Björkman, ...
ICRA 2024 Workshop on 3D Visual Representations for Robot Manipulation, 0 •