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ORCIDSergey Zakharov
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2020 – today
- 2024
[c25]Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov:
Zero-Shot Multi-object Scene Completion. ECCV (3) 2024: 96-113- [c24]Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad:
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA 2024: 14630-14637 - [c23]Sergey Zakharov
, Katherine Liu, Adrien Gaidon, Rares Ambrus:
ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) 2024: 100 - [i30]Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki:
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. CoRR abs/2402.12647 (2024) - [i29]Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov:
Zero-Shot Multi-Object Shape Completion. CoRR abs/2403.14628 (2024) - [i28]Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR abs/2404.01300 (2024) - [i27]Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus:
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR abs/2406.04309 (2024) - [i26]Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson:
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. CoRR abs/2409.03061 (2024) - [i25]Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu:
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRR abs/2409.03685 (2024) - 2023
- [j3]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023) - [c22]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR 2023: 9021-9031 - [c21]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CVPR 2023: 21201-21210 - [c20]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV 2023: 9153-9164 - [c19]Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick:
Zero-1-to-3: Zero-shot One Image to 3D Object. ICCV 2023: 9264-9275 - [c18]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon:
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV 2023: 17889-17899 - [c17]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR 2023 - [i24]Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick:
Zero-1-to-3: Zero-shot One Image to 3D Object. CoRR abs/2303.11328 (2023) - [i23]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CoRR abs/2303.15782 (2023) - [i22]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon:
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR abs/2304.02797 (2023) - [i21]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR abs/2306.08748 (2023) - [i20]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR abs/2308.12967 (2023) - [i19]Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad:
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR abs/2310.12974 (2023) - 2022
- [j2]Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7417-7435 (2022) - [c16]Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL 2022: 2136-2147 - [c15]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CVPR 2022: 160-170 - [c14]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) 2022: 275-292 - [c13]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. ECCV (25) 2022: 310-327 - [c12]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) 2022: 639-656 - [i18]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CoRR abs/2204.07616 (2022) - [i17]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. CoRR abs/2205.03923 (2022) - [i16]Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. CoRR abs/2207.02805 (2022) - [i15]Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic:
Multi-View Object Pose Refinement With Differentiable Renderer. CoRR abs/2207.02811 (2022) - [i14]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR abs/2207.05856 (2022) - [i13]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - [i12]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR abs/2207.13691 (2022) - [i11]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. CoRR abs/2210.12682 (2022) - [i10]Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR abs/2212.06193 (2022) - 2021
- [j1]Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic:
Multi-View Object Pose Refinement With Differentiable Renderer. IEEE Robotics Autom. Lett. 6(2): 2579-2586 (2021) - [c11]Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon:
Single-Shot Scene Reconstruction. CoRL 2021: 501-512 - 2020
- [b1]Sergey Zakharov:
Learning to Estimate 3D Object Pose from Synthetic Data. Technical University of Munich, Germany, 2020 - [c10]Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon:
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. CVPR 2020: 12221-12230 - [c9]Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames. ECCV Workshops (2) 2020: 612-630
2010 – 2019
- 2019
- [c8]Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. ICCV 2019: 532-541 - [c7]Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: 6D Pose Object Detector and Refiner. ICCV 2019: 1941-1950 - [c6]Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. ICCV Workshops 2019: 2767-2776 - [c5]Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. IROS 2019: 2579-2586 - [i9]Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
DPOD: Dense 6D Pose Object Detector in RGB images. CoRR abs/1902.11020 (2019) - [i8]Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. CoRR abs/1904.02750 (2019) - [i7]Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. CoRR abs/1904.03167 (2019) - [i6]Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic:
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. CoRR abs/1904.04854 (2019) - [i5]Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon:
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. CoRR abs/1911.11288 (2019) - 2018
- [c4]Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. 3DV 2018: 1-11 - [c3]Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. ICRA 2018: 1-7 - [i4]Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. CoRR abs/1804.09113 (2018) - [i3]Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab:
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. CoRR abs/1805.06400 (2018) - [i2]Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. CoRR abs/1810.04158 (2018) - 2017
- [c2]Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Oliver Lehmann, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst:
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. 3DV 2017: 1-10 - [c1]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: 552-559 - [i1]Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst:
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. CoRR abs/1702.08558 (2017)
Coauthor Index
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