Wadim Kehl
Wadim Kehl
Machine Learning Engineer, TRI-AD
確認したメール アドレス: tri-ad.global - ホームページ
タイトル
引用先
引用先
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
W Kehl, F Manhardt, F Tombari, S Ilic, N Navab
IEEE International Conference on Computer Vision (ICCV), 1521-1529, 2017
3602017
Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation
W Kehl, F Milletari, F Tombari, S Ilic, N Navab
European conference on computer vision, 205-220, 2016
1802016
Bop: Benchmark for 6d object pose estimation
T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018
1162018
Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
F Manhardt, W Kehl, A Gaidon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
722019
Deep model-based 6d pose refinement in rgb
F Manhardt, W Kehl, N Navab, F Tombari
Proceedings of the European Conference on Computer Vision (ECCV), 800-815, 2018
522018
Hashmod: A Hashing Method for Scalable 3D Object Detection
W Kehl, F Tombari, N Navab, S Ilic, V Lepetit
British Machine Vision Conference, 2015
462015
Sdf-2-sdf: Highly accurate 3d object reconstruction
M Slavcheva, W Kehl, N Navab, S Ilic
European Conference on Computer Vision, 680-696, 2016
272016
Real-time 3D model tracking in color and depth on a single CPU core
W Kehl, F Tombari, S Ilic, N Navab
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
212017
3d object instance recognition and pose estimation using triplet loss with dynamic margin
S Zakharov, W Kehl, B Planche, A Hutter, S Ilic
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
202017
Coloured signed distance fields for full 3D object reconstruction.
W Kehl, N Navab, S Ilic
British Machine Vision Conference, 2014
202014
Deceptionnet: Network-driven domain randomization
S Zakharov, W Kehl, S Ilic
Proceedings of the IEEE International Conference on Computer Vision, 532-541, 2019
192019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
S Zakharov, W Kehl, A Bhargava, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
102020
Sdf-2-sdf registration for real-time 3d reconstruction from rgb-d data
M Slavcheva, W Kehl, N Navab, S Ilic
International Journal of Computer Vision 126 (6), 615-636, 2018
102018
An Octree-Based Approach towards Efficient Variational Range Data Fusion
W Kehl, T Holl, F Tombari, S Ilic, N Navab
British Machine Vision Conference (BMVC), 2016
52016
[POSTER] Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization
S Habert, M Meng, W Kehl, X Wang, F Tombari, P Fallavollita, N Navab
2015 IEEE International Symposium on Mixed and Augmented Reality, 72-75, 2015
52015
Improving optical myography via convolutional neural networks
C Nissler, IM Badshah, C Castellini, W Kehl, N Navab
Prco. Myoelectr. Controls Symp.(MEC), 1-4, 2017
32017
Differentiable rendering: A survey
H Kato, D Beker, M Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon
arXiv preprint arXiv:2006.12057, 2020
22020
Method and system for scanning an object using an rgb-d sensor
Z Wasik, W Kehl, N Navab
US Patent App. 15/506,991, 2017
22017
Universal Hough dictionaries for object tracking
F Milletari, W Kehl, F Tombari, S Ilic, SA Ahmadi, N Navab
British Machine Vision Conference, 2015
12015
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
D Beker, H Kato, MA Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon
arXiv preprint arXiv:2009.14524, 2020
2020
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