DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. - Benjamin Planche; Ziyan Wu 001; Kai Ma; Shanhui Sun; Stefan Kluckner; Oliver Lehmann; Terrence Chen; Andreas Hutter; Sergey Zakharov; Harald Kosch; Jan Ernst (3DV, 2017)

3D object instance recognition and pose estimation using triplet loss with dynamic margin. - Sergey Zakharov; Wadim Kehl; Benjamin Planche; Andreas Hutter; Slobodan Ilic (IROS, 2017)

DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. - Benjamin Planche; Ziyan Wu 001; Kai Ma; Shanhui Sun; Stefan Kluckner; Terrence Chen; Andreas Hutter; Sergey Zakharov; Harald Kosch; Jan Ernst (CoRR, 2017)

Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only. - Sergey Zakharov; Benjamin Planche; Ziyan Wu 001; Andreas Hutter; Harald Kosch; Slobodan Ilic (3DV, 2018)

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. - Mai Bui 001; Sergey Zakharov; Shadi Albarqouni; Slobodan Ilic; Nassir Navab (ICRA, 2018)

DeceptionNet: Network-Driven Domain Randomization. - Sergey Zakharov; Wadim Kehl; Slobodan Ilic (ICCV, 2019)

DPOD: 6D Pose Object Detector and Refiner. - Sergey Zakharov; Ivan Shugurov; Slobodan Ilic (ICCV, 2019)

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. - Roman Kaskman; Sergey Zakharov; Ivan Shugurov; Slobodan Ilic (ICCV Workshops, 2019)

Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. - Benjamin Planche; Sergey Zakharov; Ziyan Wu 001; Andreas Hutter; Harald Kosch; Slobodan Ilic (IROS, 2019)

DPOD: Dense 6D Pose Object Detector in RGB images. - Sergey Zakharov; Ivan Shugurov; Slobodan Ilic (CoRR, 2019)

Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. - Sergey Zakharov; Wadim Kehl; Arjun Bhargava; Adrien Gaidon (CVPR, 2020)

6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames. - Roman Kaskman; Ivan Shugurov; Sergey Zakharov; Slobodan Ilic (ECCV Workshops (2), 2020)

Learning to Estimate 3D Object Pose from Synthetic Data. - Sergey Zakharov (2020)

Single-Shot Scene Reconstruction. - Sergey Zakharov; Rares Andrei Ambrus; Vitor Guizilini; Dennis Park; Wadim Kehl; Frédo Durand; Joshua B. Tenenbaum; Vincent Sitzmann; Jiajun Wu 001; Adrien Gaidon (CoRL, 2021)

Multi-View Object Pose Refinement With Differentiable Renderer. - Ivan Shugurov; Ivan Pavlov; Sergey Zakharov; Slobodan Ilic (IEEE Robotics Autom. Lett., 2021)

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. - Sergey Zakharov; Rares Andrei Ambrus; Katherine Liu; Adrien Gaidon (CoRL, 2022)

Multi-Frame Self-Supervised Depth with Transformers. - Vitor Guizilini; Rares Ambrus; Dian Chen 005; Sergey Zakharov; Adrien Gaidon (CVPR, 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 (ECCV (2), 2022)

SpOT: Spatiotemporal Modeling for 3D Object Tracking. - Colton Stearns; Davis Rempe; Jie Li 031; Rares Ambrus; Sergey Zakharov; Vitor Guizilini; Yanchao Yang 001; Leonidas J. Guibas (ECCV (38), 2022)

Photo-realistic Neural Domain Randomization. - Sergey Zakharov; Rares Ambrus; Vitor Guizilini; Wadim Kehl; Adrien Gaidon (ECCV (25), 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)

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. - Ivan Shugurov; Sergey Zakharov; Slobodan Ilic (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 (CVPR, 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 001 (CVPR, 2023)

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Sergey Zakharov; Vincent Sitzmann; Adrien Gaidon (ICCV, 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 (ICCV, 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 (ICCV, 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 (ICLR, 2023)

Unsupervised Discovery and Composition of Object Light Fields. - Cameron Smith; Hong-Xing Yu; Sergey Zakharov; Frédo Durand; Joshua B. Tenenbaum; Jiajun Wu 001; Vincent Sitzmann (Trans. Mach. Learn. Res., 2023)

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. - Stephen Tian; Blake Wulfe; Kyle Sargent; Katherine Liu; Sergey Zakharov; Vitor Campagnolo Guizilini; Jiajun Wu 001 (CoRL, 2024)

NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. - Muhammad Zubair Irshad; Sergey Zakharov; Vitor Guizilini; Adrien Gaidon; Zsolt Kira; Rares Ambrus (ECCV (88), 2024)

Zero-Shot Multi-object Scene Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (ECCV (3), 2024)

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. - Mayank Lunayach; Sergey Zakharov; Dian Chen 005; Rares Ambrus; Zsolt Kira; Muhammad Zubair Irshad (ICRA, 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 (IROS, 2024)

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. - Yinshuang Xu; Dian Chen 005; Katherine Liu; Sergey Zakharov; Rares Ambrus; Kostas Daniilidis; Vitor Guizilini (NeurIPS, 2024)

ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. - Sergey Zakharov; Katherine Liu; Adrien Gaidon; Rares Ambrus (SIGGRAPH (Conference Paper Track), 2024)

A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. - Arkadeep Narayan Chaudhury; Igor Vasiljevic; Sergey Zakharov; Vitor Guizilini; Rares Ambrus; Srinivasa Narasimhan; Christopher G. Atkeson (SIGGRAPH Asia Technical Communications, 2024)

Zero-Shot Multi-Object Shape Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (CoRR, 2024)

Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. - Arkadeep Narayan Chaudhury; Igor Vasiljevic; Sergey Zakharov; Vitor Guizilini; Rares Ambrus; Srinivasa Narasimhan; Christopher G. Atkeson (CoRR, 2024)

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. - Shun Iwase; Muhammad Zubair Irshad; Katherine Liu; Vitor Guizilini; Robert Lee; Takuya Ikeda; Ayako Amma; Koichi Nishiwaki; Kris Kitani; Rares Ambrus; Sergey Zakharov (CVPR, 2025)

Steerable Scene Generation with Post Training and Inference-Time Search. - Nicholas Pfaff; Hongkai Dai; Sergey Zakharov; Shun Iwase; Russ Tedrake (CoRR, 2025)

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. - Takuya Ikeda; Sergey Zakharov; Muhammad Zubair Irshad; Istvan Balazs Opra; Shun Iwase; Dian Chen 005; Mark Tjersland; Robert Lee; Alexandre Dilly; Rares Ambrus; Koichi Nishiwaki (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)