Sergey Zakharov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 55

Top Topics

Pose Estimation

Scene Representation

Top Venues

Publications

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 (2024)
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) (2024)
Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
Zero-Shot Multi-Object Shape Completion. CoRR (2024)
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 (2024)
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)
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR (2024)
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 (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV (2023)
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)
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)
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)
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)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR (2023)
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 (2023)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. CoRR (2022)
Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic
Multi-View Object Pose Refinement With Differentiable Renderer. CoRR (2022)
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 (2022)
Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CVPR (2022)
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 (2022)
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)
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 (2022)
Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL (2022)
Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. CoRR (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. ECCV (25) (2022)
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 (2022)
Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR (2022)
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)
Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagholo Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
Single-Shot Scene Reconstruction. CoRL (2021)
Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic
Multi-View Object Pose Refinement With Differentiable Renderer. IEEE Robotics Autom. Lett. 6 (2) (2021)
Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames. ECCV Workshops (2) (2020)
Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. CVPR (2020)
Sergey Zakharov, Wadim Kehl, Slobodan Ilic
DeceptionNet: Network-Driven Domain Randomization. CoRR (2019)
Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. CoRR (2019)
Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. CoRR (2019)
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
DPOD: 6D Pose Object Detector and Refiner. ICCV (2019)
Sergey Zakharov, Wadim Kehl, Slobodan Ilic
DeceptionNet: Network-Driven Domain Randomization. ICCV (2019)
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
DPOD: Dense 6D Pose Object Detector in RGB images. CoRR (2019)
Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. CoRR (2019)
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)
Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. ICCV Workshops (2019)
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 (2018)
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)
Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. CoRR (2018)
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 (2018)
Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. ICRA (2018)
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 (2017)
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)
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)