Follow
Sergey Zakharov
Sergey Zakharov
Toyota Research Institute
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
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
7402023
DPOD: 6D Pose Object Detector and Refiner
S Zakharov, I Shugurov, S Ilic
IEEE International Conference on Computer Vision (ICCV), 2019
5572019
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
1452019
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
1162020
DeceptionNet: Network-Driven Domain Randomization
S Zakharov, W Kehl, S Ilic
IEEE International Conference on Computer Vision (ICCV), 2019
1042019
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
932017
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
862022
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
592022
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
492021
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
482017
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
342018
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
302018
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
252021
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
24*2022
Single-shot scene reconstruction
S Zakharov, RA Ambrus, VC Guizilini, D Park, W Kehl, F Durand, ...
5th Annual Conference on Robot Learning, 2021
162021
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
142020
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
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
122022
Photo-realistic neural domain randomization
S Zakharov, R Ambruș, V Guizilini, W Kehl, A Gaidon
European Conference on Computer Vision, 310-327, 2022
122022
View-invariant policy learning via zero-shot novel view synthesis
S Tian, B Wulfe, K Sargent, K Liu, S Zakharov, V Guizilini, J Wu
arXiv preprint arXiv:2409.03685, 2024
52024
The system can't perform the operation now. Try again later.
Articles 1–20