Wadim Kehl

Heya! I'm currently based in San Francisco, researching in the Bay Area at the amazing Toyota Research Institute on everything vision-related for cars and robots. Before that, I did my Master's and PhD studies at TUM, funded by Toyota Europe. During my PhD time at CAMP I was supervised by Prof. Nassir Navab, PD Slobodan Ilic and Federico Tombari. Even before that, I did my Bachelor's at the University of Bonn, supervised by PD Volker Steinhage and Jens Behley.

News

Our paper "Deep Model-Based 6D Pose Refinement in RGB" was selected as an oral presentation at ECCV'18 in Munich, Germany.
The detection code for our ICCV'17 paper can be found here
Our paper "SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again" was selected as an oral presentation at ICCV'17 in Venice, Italy.
Our ECCV'16 paper "Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation" was awarded 'Best Poster' as a co-submission to the 2nd 6D Pose Recovery Workshop .

Publications (not listing the boring patents here...)

(ORAL) Fabian Manhardt*, Wadim Kehl*, Nassir Navab, Federico Tombari:
Deep Model-Based 6D Pose Refinement in RGB. ECCV 2018.
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: 6D Object Pose Estimation Benchmark. ECCV 2018.

All the papers below were submitted during my 4-years PhD at TUM:

(ORAL) Wadim Kehl*, Fabian Manhardt*, Federico Tombari, Slobodan Ilic, Nassir Navab:
SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again. ICCV 2017.
Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. CVPR 2017.
Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic:
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. IROS 2017.
Christian Nissler, Imran Badshah, Claudio Castellini, Wadim Kehl, Nassir Navab:
Improving Optical Myography via Convolutional Neural Networks. MEC 2017
Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic:
SDF-2-SDF Registration for Real-time 3D Reconstruction from RGB-D Data. IJCV 2017
Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab:
An Octree-Based Approach towards Efficient Variational Range Data Fusion. BMVC 2016
(BEST POSTER) Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, Nassir Navab:
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation. ECCV 2016
Miroslava Slavcheva, Wadim Kehl, Nassir Navab, Slobodan Ilic:
SDF-2-SDF: Highly Accurate 3D Object Reconstruction. ECCV 2016
Wadim Kehl, Federico Tombari, Nassir Navab, Slobodan Ilic, Vincent Lepetit:
Hashmod: A Hashing Method for Scalable 3D Object Detection. BMVC 2015
Severine Habert, Ma Meng, Wadim Kehl, Xiang Wang, Federico Tombari, Pascal Fallavolita, Nassir Navab:
Augmenting mobile C-arm fluoroscopes via Stereo-RGBD sensors for multimodal visualization. ISMAR 2015
Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Ahmad Ahmadi, Nassir Navab:
Universal Hough dictionaries for object tracking. BMVC 2015
Wadim Kehl, Nassir Navab, Slobodan Ilic:
Coloured signed distance fields for full 3D object reconstruction. BMVC 2014