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@pairlab

PAIR Lab

PAIR Lab works on machine learning & perception in robotics with implications on interactions with people.

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  1. NSM NSM Public

    [CVPR 2022] Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

    C++ 31 6

  2. TranspareNet TranspareNet Public

    Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects. CoRL 2021

    Python 26 5

  3. v-cdn v-cdn Public

    [NeurIPS 2020] Causal Discovery in Physical Systems from Videos

    Python 78 20

  4. d2rl d2rl Public

    Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"

    Python 39 7

  5. SlotFormer SlotFormer Public

    Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

    Python 112 22

  6. vagram vagram Public

    [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.

    Python 24 5

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