Wadim Kehl

35 papers A* 7A 5Misc 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2023 A* conf
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-to-Fine Contrastive Ranking.
CVPR
Lijin Yang, Quan Kong, Hsuan-Kung Yang, Wadim Kehl, Yoichi Sato, Norimasa Kobori
2022 — conf
Photo-realistic Neural Domain Randomization.
ECCV (25)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022 J jnl
Photo-realistic Neural Domain Randomization.
CoRR
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2021 Misc conf
Single-Shot Scene Reconstruction.
CoRL
Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
2020 A* conf
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors.
CVPR
Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2020 J jnl
Differentiable Rendering: A Survey.
CoRR
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020 J jnl
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection.
CoRR
Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020 — conf
Monocular Differentiable Rendering for Self-supervised 3D Object Detection.
ECCV (21)
Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020 — —
Reconstruction and Scalable Detection and Tracking of 3D Objects.
Wadim Kehl
2019 J jnl
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin.
CoRR
Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
2019 J jnl
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors.
CoRR
Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2019 A* conf
DeceptionNet: Network-Driven Domain Randomization.
ICCV
Sergey Zakharov, Wadim Kehl, Slobodan Ilic
2019 J jnl
DeceptionNet: Network-Driven Domain Randomization.
CoRR
Sergey Zakharov, Wadim Kehl, Slobodan Ilic
2019 A* conf
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape.
CVPR
Fabian Manhardt, Wadim Kehl, Adrien Gaidon
2019 J jnl
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core.
CoRR
Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab
2018 — conf
BOP: Benchmark for 6D Object Pose Estimation.
ECCV (10)
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother
2018 J jnl
BOP: Benchmark for 6D Object Pose Estimation.
CoRR
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother
2018 — conf
Deep Model-Based 6D Pose Refinement in RGB.
ECCV (14)
Fabian Manhardt, Wadim Kehl, Nassir Navab, Federico Tombari
2018 J jnl
Deep Model-Based 6D Pose Refinement in RGB.
CoRR
Fabian Manhardt, Wadim Kehl, Nassir Navab, Federico Tombari
2018 J jnl
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape.
CoRR
Fabian Manhardt, Wadim Kehl, Adrien Gaidon
2018 J jnl
SDF-2-SDF Registration for Real-Time 3D Reconstruction from RGB-D Data.
Int. J. Comput. Vis.
Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic
2017 A conf
3D object instance recognition and pose estimation using triplet loss with dynamic margin.
IROS
Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
2017 A* conf
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core.
CVPR
Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab
2017 A* conf
SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again.
ICCV
Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab
2017 J jnl
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again.
CoRR
Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab
2016 A conf
An Octree-Based Approach towards Efficient Variational Range Data Fusion.
BMVC
Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab
2016 J jnl
An Octree-Based Approach towards Efficient Variational Range Data Fusion.
CoRR
Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab
2016 — conf
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation.
ECCV (3)
Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab
2016 J jnl
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation.
CoRR
Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab
2016 J jnl
Hashmod: A Hashing Method for Scalable 3D Object Detection.
CoRR
Wadim Kehl, Federico Tombari, Nassir Navab, Slobodan Ilic, Vincent Lepetit
2016 — conf
SDF-2-SDF: Highly Accurate 3D Object Reconstruction.
ECCV (1)
Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic
2015 A* conf
Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization.
ISMAR
Séverine Habert, Meng Ma, Wadim Kehl, Xiang Wang, Federico Tombari, Pascal Fallavollita, Nassir Navab
2015 A conf
Hashmod: A Hashing Method for Scalable 3D Object Detection.
BMVC
Wadim Kehl, Federico Tombari, Nassir Navab, Slobodan Ilic, Vincent Lepetit
2015 A conf
Universal Hough dictionaries for object tracking.
BMVC
Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab
2014 A conf
Coloured signed distance fields for full 3D object reconstruction.
BMVC
Wadim Kehl, Nassir Navab, Slobodan Ilic