Sergey Zakharov
Sergey Zakharov
Technical University of Munich | Siemens Corporate Technology
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
DPOD: 6D Pose Object Detector and Refiner
S Zakharov, I Shugurov, S Ilic
IEEE International Conference on Computer Vision (ICCV), 2019
41*2019
Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition
B Planche, Z Wu, K Ma, S Sun, S Kluckner, O Lehmann, T Chen, A Hutter, ...
International Conference on 3D Vision (3DV), 1-10, 2017
312017
DeceptionNet: Network-Driven Domain Randomization
S Zakharov, W Kehl, S Ilic
IEEE International Conference on Computer Vision (ICCV), 2019
132019
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
S Zakharov, W Kehl, B Planche, A Hutter, S Ilic
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
132017
Keep it unreal: Bridging the realism gap for 2.5 d recognition with geometry priors only
S Zakharov, B Planche, Z Wu, A Hutter, H Kosch, S Ilic
International Conference on 3D Vision (3DV), 1-11, 2018
92018
When regression meets manifold learning for object recognition and pose estimation
M Bui, S Zakharov, S Albarqouni, S Ilic, N Navab
IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2018
72018
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
R Kaskman, S Zakharov, I Shugurov, S Ilic
IEEE International Conference on Computer Vision Workshops (ICCVW), 2019
52019
Seeing beyond appearance-mapping real images into geometrical domains for unsupervised cad-based recognition
B Planche, S Zakharov, Z Wu, A Hutter, H Kosch, S Ilic
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
22019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
S Zakharov, W Kehl, A Bhargava, A Gaidon
IEEE Computer Vision and Pattern Recognition (CVPR), 2020
12020
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