Sergey Zakharov

77 papers A* 15A 3Misc 3Journal 43Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A careful examination of large behavior models for multitask dexterous manipulation. Sci. Robotics Jose A. Barreiros, Andrew Beaulieu, Aditya Bhat, Rick Cory, Eric Cousineau, Hongkai Dai, Ching-Hsin Fang, Kunimatsu Hashimoto, Muhammad Zubair Irshad, Masha Itkina, Naveen Kuppuswamy, Kuan-Hui Lee, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Masayuki Masuda, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake
2026	J	`jnl`	AnyView: Synthesizing Any Novel View in Dynamic Scenes. CoRR Basile Van Hoorick, Dian Chen, Shun Iwase, Pavel Tokmakov, Muhammad Zubair Irshad, Igor Vasiljevic, Swati Gupta, Fangzhou Cheng, Sergey Zakharov, Vitor Campagnolo Guizilini
2026	J	`jnl`	SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes. CoRR Nicholas Pfaff, Thomas Cohn, Sergey Zakharov, Rick Cory, Russ Tedrake
2025	J	`jnl`	GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. CoRR Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad, Istvan Balazs Opra, Shun Iwase, Dian Chen, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki
2025	—	`conf`	Incorporating Dense Metric Depth into Neural 3D Representations for View Synthesis and Relighting. 3DV Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2025	A*	`conf`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. ICRA Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. CoRR Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies. CoRR Arhan Jain, Mingtong Zhang, Kanav Arora, William Chen, Marcel Torne, Muhammad Zubair Irshad, Sergey Zakharov, Yue Wang, Sergey Levine, Chelsea Finn, Wei-Chiu Ma, Dhruv Shah, Abhishek Gupta, Karl Pertsch
2025	J	`jnl`	Robot Learning from Any Images. CoRR Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang
2025	J	`jnl`	Steerable Scene Generation with Post Training and Inference-Time Search. CoRR Nicholas Pfaff, Hongkai Dai, Sergey Zakharov, Shun Iwase, Russ Tedrake
2025	A*	`conf`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CVPR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2025	J	`jnl`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CoRR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	A*	`conf`	$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. NeurIPS Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	—	`conf`	A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. SIGGRAPH Asia Technical Communications Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa G. Narasimhan, Christopher G. Atkeson
2024	A	`conf`	DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. IROS Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
2024	J	`jnl`	DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. CoRR Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
2024	A*	`conf`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2024	J	`jnl`	Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. CoRR Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2024	J	`jnl`	NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. ECCV (88) Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. CoRR Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	Misc	`conf`	View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRL Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Campagnolo Guizilini, Jiajun Wu
2024	J	`jnl`	View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRR Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu
2024	J	`jnl`	Zero-Shot Multi-Object Shape Completion. CoRR Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	—	`conf`	Zero-Shot Multi-object Scene Completion. ECCV (3) Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2023	A*	`conf`	CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CVPR Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar
2023	J	`jnl`	CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CoRR Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar
2023	A*	`conf`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2023	A*	`conf`	Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
2023	J	`jnl`	Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
2023	A*	`conf`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	A*	`conf`	Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2023	J	`jnl`	Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
2023	A*	`conf`	Zero-1-to-3: Zero-shot One Image to 3D Object. ICCV Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
2023	J	`jnl`	Zero-1-to-3: Zero-shot One Image to 3D Object. CoRR Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
2022	J	`jnl`	DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. CoRR Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
2022	J	`jnl`	DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
2022	A*	`conf`	Multi-Frame Self-Supervised Depth with Transformers. CVPR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-Frame Self-Supervised Depth with Transformers. CoRR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-View Object Pose Refinement With Differentiable Renderer. CoRR Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic
2022	—	`conf`	Photo-realistic Neural Domain Randomization. ECCV (25) Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	J	`jnl`	Photo-realistic Neural Domain Randomization. CoRR Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	Misc	`conf`	ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon
2022	J	`jnl`	ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
2022	J	`jnl`	Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2022	J	`jnl`	ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	—	`conf`	ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	—	`conf`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	Unsupervised Discovery and Composition of Object Light Fields. CoRR Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
2021	J	`jnl`	Multi-View Object Pose Refinement With Differentiable Renderer. IEEE Robotics Autom. Lett. Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic
2021	Misc	`conf`	Single-Shot Scene Reconstruction. CoRL Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
2020	—	`conf`	6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames. ECCV Workshops (2) Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic
2020	A*	`conf`	Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. CVPR Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2020	—	`—`	Learning to Estimate 3D Object Pose from Synthetic Data. Sergey Zakharov
2019	J	`jnl`	3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. CoRR Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
2019	J	`jnl`	Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. CoRR Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2019	A*	`conf`	DPOD: 6D Pose Object Detector and Refiner. ICCV Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
2019	J	`jnl`	DPOD: Dense 6D Pose Object Detector in RGB images. CoRR Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
2019	A*	`conf`	DeceptionNet: Network-Driven Domain Randomization. ICCV Sergey Zakharov, Wadim Kehl, Slobodan Ilic
2019	J	`jnl`	DeceptionNet: Network-Driven Domain Randomization. CoRR Sergey Zakharov, Wadim Kehl, Slobodan Ilic
2019	—	`conf`	HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. ICCV Workshops Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
2019	J	`jnl`	HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. CoRR Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
2019	A	`conf`	Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. IROS Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic
2018	—	`conf`	Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. 3DV Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic
2018	J	`jnl`	Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. CoRR Sergey Zakharov, Benjamin Planche, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic
2018	J	`jnl`	Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. CoRR Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic
2018	A*	`conf`	When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. ICRA Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2018	J	`jnl`	When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. CoRR Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2017	A	`conf`	3D object instance recognition and pose estimation using triplet loss with dynamic margin. IROS Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
2017	—	`conf`	DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. 3DV Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Oliver Lehmann, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst
2017	J	`jnl`	DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. CoRR Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst