Sergey Zakharov

According to our database, Sergey Zakharov authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Zero-Shot Multi-Object Shape Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

CoRR, 2024

DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation.

Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki

CoRR, 2024

2023

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects.

Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad

CoRR, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Zero-1-to-3: Zero-shot One Image to 3D Object.

Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation.

Ivan Shugurov, Sergey Zakharov, Slobodan Ilic

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

CoRR, 2022

Unsupervised Discovery and Composition of Object Light Fields.

Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

CoRR, 2022

Photo-realistic Neural Domain Randomization.

Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking.

Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2022, 2022

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization.

Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Frame Self-Supervised Depth with Transformers.

Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes.

Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 2022

2021

Multi-View Object Pose Refinement With Differentiable Renderer.

Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic

IEEE Robotics Autom. Lett., 2021

Single-Shot Scene Reconstruction.

Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning to Estimate 3D Object Pose from Synthetic Data.

Sergey Zakharov

PhD thesis, 2020

6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames.

Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors.

Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DPOD: Dense 6D Pose Object Detector in RGB images.

Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

CoRR, 2019

Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition.

Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects.

Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

DPOD: 6D Pose Object Detector and Refiner.

Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DeceptionNet: Network-Driven Domain Randomization.

Sergey Zakharov, Wadim Kehl, Slobodan Ilic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation.

Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only.

Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition.

Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst

CoRR, 2017

3D object instance recognition and pose estimation using triplet loss with dynamic margin.

Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition.

Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Oliver Lehmann, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst

Proceedings of the 2017 International Conference on 3D Vision, 2017