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  • Robotics AI, Amazon
  • Berlin

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kirumang/README.md

I'm

  • an Applied Scientist at Robotics AI, Amazon
  • working on object perception and recognition for robot manipulation tasks (e.g., segmentation, pose estimation, grasp generation/planning, general 3D vision stuff)

Main interests

  • Computer Vision and Robot vision: pose estimation of objects, object recognition, object modeling/learning, manipulation
  • Robot programming: ROS

Languages, Libraries, and Tools

  • Python, C++, C#
  • Tensorflow, Keras, Pytorch, PCL, OpenCV, Scipy, Pybullet
  • Blender, Catia

How to reach me

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  1. Pix2Pose Pix2Pose Public

    Original implementation of the paper "Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation", in ICCV 2019, https://arxiv.org/abs/1908.07433

    Python 184 34

  2. NOL NOL Public

    An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images

    Python 32 8

  3. dirt dirt Public

    Forked from pmh47/dirt

    DIRT: a fast differentiable renderer for TensorFlow

    C++

  4. EfficientDet EfficientDet Public

    Forked from xuannianz/EfficientDet

    EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

    Python