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.


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

  • Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
    DeceptionNet: Network-Driven Domain Randomization. ICCV 2019. arXiv
  • Fabian Manhardt*, Wadim Kehl*, Adrien Gaidon:
    ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. CVPR 2019. arXiv Video
  • (ORAL) Fabian Manhardt*, Wadim Kehl*, Nassir Navab, Federico Tombari:
    Deep Model-Based 6D Pose Refinement in RGB. ECCV 2018. PDF MP4
  • 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: Benchmark for 6D Object Pose Estimation. ECCV 2018. PDF
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. PDF
  • Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
    Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. CVPR 2017. PDF
  • 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. PDF
  • 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