Sergey Zakharov

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I am a Senior Research Scientist at Toyota Research Institute and a former PhD candidate at the Chair for Computer Aided Medical Procedures, Technical University of Munich and Siemens AG. My research focuses on 3D scene understanding and covers such topics as neural implicit representations, generative modeling, scalable 3D object detection, and domain adaptation.

Reviewer for CVPR, ICCV, ECCV, ICRA, IROS, IJCV.

news

Jul 2023 NeO 360, DeLiRa, and Zero123 have been accepted for ICCV’23!
Feb 2023 CARTO and ActionOSF accepted for CVPR’23!
Jan 2023 Neural Groundplans accepted for ICLR’23!
Sep 2022 Our recursive implicit representation ROAD has been accepted for CoRL’22!

selected publications

  1. 0123.png
    Zero-1-to-3: Zero-shot One Image to 3D Object
    Ruoshi LiuRundi WuBasile Van Hoorick, and 3 more authors
    In ICCV, 2023
  2. road.gif
    ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
    Sergey ZakharovRares AmbrusKatherine Liu, and 1 more author
    In Conference on Robot Learning (CoRL), 2022
  3. sdflabel.gif
    Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
    Sergey ZakharovWadim Kehl, Arjun Bhargava, and 1 more author
    In Computer Vision and Pattern Recognition (CVPR), 2020
  4. dpod.png
    DPOD: 6D Pose Object Detector and Refiner
    Sergey ZakharovIvan Shugurov, and Slobodan Ilic
    In International Conference on Computer Vision (ICCV), 2019
  5. hb.png
    HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
    Roman KaskmanSergey ZakharovIvan Shugurov, and 1 more author
    In International Conference on Computer Vision Workshops (ICCVW), 2019