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Sergey Zakharov
Sergey Zakharov
Toyota Research Institute
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
4892019
Zero-1-to-3: Zero-shot one image to 3d object
R Liu, R Wu, B Van Hoorick, P Tokmakov, S Zakharov, C Vondrick
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
3322023
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
1292019
DeceptionNet: Network-Driven Domain Randomization
S Zakharov, W Kehl, S Ilic
IEEE International Conference on Computer Vision (ICCV), 2019
992019
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
922020
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
882017
Multi-frame self-supervised depth with transformers
V Guizilini, R Ambruș, D Chen, S Zakharov, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
562022
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
452017
Shapo: Implicit representations for multi-object shape, appearance, and pose optimization
MZ Irshad, S Zakharov, R Ambrus, T Kollar, Z Kira, A Gaidon
European Conference on Computer Vision, 275-292, 2022
392022
Dpodv2: Dense correspondence-based 6 dof pose estimation
I Shugurov, S Zakharov, S Ilic
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7417 …, 2021
372021
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
292018
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
282018
Neural groundplans: Persistent neural scene representations from a single image
P Sharma, A Tewari, Y Du, S Zakharov, R Ambrus, A Gaidon, ...
arXiv preprint arXiv:2207.11232, 2022
19*2022
Multi-view object pose refinement with differentiable renderer
I Shugurov, I Pavlov, S Zakharov, S Ilic
IEEE Robotics and Automation Letters 6 (2), 2579-2586, 2021
182021
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
142019
Single-shot scene reconstruction
S Zakharov, RA Ambrus, VC Guizilini, D Park, W Kehl, F Durand, ...
5th Annual Conference on Robot Learning, 2021
132021
6 dof pose estimation of textureless objects from multiple rgb frames
R Kaskman, I Shugurov, S Zakharov, S Ilic
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
112020
Spot: Spatiotemporal modeling for 3d object tracking
C Stearns, D Rempe, J Li, R Ambruş, S Zakharov, V Guizilini, Y Yang, ...
European Conference on Computer Vision, 639-656, 2022
102022
Photo-realistic neural domain randomization
S Zakharov, R Ambruș, V Guizilini, W Kehl, A Gaidon
European Conference on Computer Vision, 310-327, 2022
82022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
S Zakharov, RA Ambrus, K Liu, A Gaidon
6th Annual Conference on Robot Learning, 2022
32022
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Articles 1–20