6 citations · 14 across the 11 of their papers we have counts for
15 papers
MyoMechanix: Biomechanically-Grounded Compositional Skilled Activity Understanding and Coaching
Hao Yin, Paritosh Parmar, Lijun Gu +6
Existing action quality assessment (AQA) datasets and methods rely primarily on visual inputs such as RGB and pose, overlooking physiological dynamics such as muscle mechanics and…
Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
Paritosh Parmar, Landy Lan, Hong Yang +2
Can computer vision help make classrooms safer? In this pilot study, we investigate privacy-aware and computationally efficient classroom incident recognition from CCTV-style obser…
ChainReaction: Causal Chain-Guided Reasoning for Modular and Explainable Causal-Why Video Question Answering
Paritosh Parmar, Eric Peh, Basura Fernando
Existing Causal-Why Video Question Answering (VideoQA) models often struggle with higher-order reasoning, relying on opaque, monolithic pipelines that entangle video understanding,…
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
Paritosh Parmar, Eric Peh, Ruirui Chen +4
Causal video question answering (QA) has garnered increasing interest, yet existing datasets often lack depth in causal reasoning. To address this gap, we capitalize on the unique…
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
Lauren Okamoto, Paritosh Parmar
Action quality assessment (AQA) applies computer vision to quantitatively assess the performance or execution of a human action. Current AQA approaches are end-to-end neural models…
Learning to Visually Connect Actions and their Effects
Paritosh Parmar, Eric Peh, Basura Fernando
We introduce the novel concept of visually Connecting Actions and Their Effects (CATE) in video understanding. CATE can have applications in areas like task planning and learning f…
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
Paritosh Parmar, Amol Gharat, Helge Rhodin
Maintaining proper form while exercising is important for preventing injuries and maximizing muscle mass gains. Detecting errors in workout form naturally requires estimating human…
Win-Fail Action Recognition
Paritosh Parmar, Brendan Morris
Current video/action understanding systems have demonstrated impressive performance on large recognition tasks. However, they might be limiting themselves to learning to recognize…
Piano Skills Assessment
Paritosh Parmar, Jaiden Reddy, Brendan Morris
Can a computer determine a piano player's skill level? Is it preferable to base this assessment on visual analysis of the player's performance or should we trust our ears over our…
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
Paritosh Parmar, Brendan Morris
Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action related tasks. However, 3D-CNN are…
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Paritosh Parmar, Brendan Tran Morris
Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality? Current AQA and skills assessment approaches p…
Action Quality Assessment Across Multiple Actions
Paritosh Parmar, Brendan Tran Morris
Can learning to measure the quality of an action help in measuring the quality of other actions? If so, can consolidated samples from multiple actions help improve the performance…
Learning To Score Olympic Events
Paritosh Parmar, Brendan Tran Morris
Estimating action quality, the process of assigning a "score" to the execution of an action, is crucial in areas such as sports and health care. Unlike action recognition, which ha…
Measuring the Quality of Exercises
Paritosh Parmar, Brendan Tran Morris
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessmen…
Use of Computer Vision to Detect Tangles in Tangled Objects
Paritosh Parmar
Untangling of structures like ropes and wires by autonomous robots can be useful in areas such as personal robotics, industries and electrical wiring & repairing by robots. This pr…