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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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ParitoshParmar/README.md

  • 👋 Hi, I’m ParitoshParmar

  • 👀 I’m interested in Computer Vision, especially, Video Understanding

  • ✨ My latest projects:

    • NeuroSymbolic Approach for Action Quality Assessment [🏆 CVPR 2024 CVSports Best Paper Award] [Code] [Demo]
    • Fine-grained Exercise Action Quality Assessment: Novel Domain Knowledge-Informed Self-Supervised Pose-Motion Contrastive Approaches for Fine-grained Action Quality Assessment (can be used for Diving as well!) + Fitness-AQA dataset
    • Multimodal Piano Skills Assessment: Audio CNN + Video CNN + Multimodal CNN Approaches for Piano Skills Assessment + Multimodal Dataset for Piano Skills Assessment
    • Novel Test Benchmark for Truer Video Understanding: Novel Challenging Video Understanding Dataset -- Win-Fail Action Understanding dataset + In-Depth Analysis of various Video Understanding baseline models
    • Multitask Action Quality Assessment: Levaraging Fine-grained, Detailed Action Description Generation and Fine-grained Action Recognition to Improve Performance on Action Quality Assessment + Better Generalization from Diving to Gymnastic Vault + Largest Multilabel Diving AQA Dataset

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  1. Fitness-AQA Fitness-AQA Public

    Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

    Python 50 27

  2. MTL-AQA MTL-AQA Public

    What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

    Python 54 15

  3. C3D-LSTM--PyTorch C3D-LSTM--PyTorch Public

    C3D-LSTM implementation in PyTorch [WACV 2019]

    Python 36 10

  4. Win-Fail-Action-Recognition Win-Fail-Action-Recognition Public

    https://arxiv.org/abs/2102.07355 [WACV Workshops 2022]

    4 1

  5. Piano-Skills-Assessment Piano-Skills-Assessment Public

    Piano Skills Assessment [IEEE MMSP 2021]

    Python 16 2

  6. HalluciNet--PyTorch HalluciNet--PyTorch Public

    Approximating a 3DCNN with a 2DCNN

    Python 5