ParitoshParmar

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Paritosh Parmar ParitoshParmar

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Computer Vision Researcher

26 followers · 0 following

University of British Columbia
https://paritoshparmar.github.io

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ParitoshParmar/README.md

👋 Hi, I’m ParitoshParmar
👀 I’m interested in Computer Vision, especially, Video Understanding
✨ My latest projects:
- CausalChaos! Dataset for Causal Video Question Answering [NeurIPS 2024] [Dataset, Code]
- 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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Fitness-AQA Fitness-AQA Public

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

Python 53 27
MTL-AQA MTL-AQA Public

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

Python 58 15
C3D-LSTM--PyTorch C3D-LSTM--PyTorch Public

C3D-LSTM implementation in PyTorch [WACV 2019]

Python 36 10
Win-Fail-Action-Recognition Win-Fail-Action-Recognition Public

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

4 1
Piano-Skills-Assessment Piano-Skills-Assessment Public

Piano Skills Assessment [IEEE MMSP 2021]

Python 16 2
HalluciNet--PyTorch HalluciNet--PyTorch Public

Approximating a 3DCNN with a 2DCNN

Python 5