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👋 Hi, I’m ParitoshParmar
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👀 I’m interested in Computer Vision, especially, Video Understanding
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✨ 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
Paritosh Parmar ParitoshParmar
Computer Vision Researcher
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University of British Columbia
- https://paritoshparmar.github.io
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Fitness-AQA
Fitness-AQA PublicFitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
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C3D-LSTM--PyTorch
C3D-LSTM--PyTorch PublicC3D-LSTM implementation in PyTorch [WACV 2019]
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Win-Fail-Action-Recognition
Win-Fail-Action-Recognition Publichttps://arxiv.org/abs/2102.07355 [WACV Workshops 2022]
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Piano-Skills-Assessment
Piano-Skills-Assessment PublicPiano Skills Assessment [IEEE MMSP 2021]
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58 contributions in the last year
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