21 citations · 34 across the 14 of their papers we have counts for
16 papers
Heartian: Physiology-Aware Relightable Gaussian Head Avatar
Xiaoyue Fan, Jose Echevarria, Akshay Paruchuri +1
Gaussian head avatars typically model intrinsic facial appearance as temporally static, omitting subtle cardiac-induced skin-color variation. We propose Heartian, a physiology-awar…
OpenMHC: Accelerating the Science of Wearable Foundation Models
Narayan Schuetz, Yuze Bai, Lianggang Pan +16
Mobile and wearable devices offer an unprecedented opportunity for continuous, passive health monitoring and active health coaching. However, the largest wearable datasets are not…
MatrAIx: Simulating the World with 8.3 Billion Persona Agents
Xiaomin Li, Yuexing Hao, Jianheng Hou +90
Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are more scalable but often abstract away human diversity and inter…
Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models
Akshay Paruchuri, Sanmi Koyejo, Ehsan Adeli
Standard benchmarks for multimodal large language models (MLLMs) score each item on one canonical ordering and miss whether order-irrelevant shuffling changes the answer, a baselin…
The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models
Akshay Paruchuri, Ishan Chatterjee, Henry Fuchs +2
Multimodal language models systematically underperform on visual perception tasks, yet the structure underlying this failure remains poorly understood. We propose centroid replacem…
The Anatomy of a Personal Health Agent
A. Ali Heydari, Ken Gu, Vidya Srinivas +35
Health is a fundamental pillar of human wellness, and the rapid advancements in large language models (LLMs) have driven the development of a new generation of health agents. Howev…
Editing Physiological Signals in Videos Using Latent Representations
Tianwen Zhou, Akshay Paruchuri, Josef Spjut +1
Camera-based physiological signal estimation provides a non-contact and convenient means to monitor Heart Rate (HR). However, the presence of vital signals in facial videos raises…
EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses
Akshay Paruchuri, Sinan Hersek, Lavisha Aggarwal +6
All-day smart glasses are likely to emerge as platforms capable of continuous contextual sensing, uniquely positioning them for unprecedented assistance in our daily lives. Integra…
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
Akshay Paruchuri, Maryam Aziz, Rohit Vartak +5
People are increasingly seeking healthcare information from large language models (LLMs) via interactive chatbots, yet the nature and inherent risks of these conversations remain l…
RADAR: Benchmarking Language Models on Imperfect Tabular Data
Ken Gu, Zhihan Zhang, Kate Lin +18
Language models (LMs) are increasingly being deployed to perform autonomous data analyses. However, their data awareness -- the ability to recognize, reason over, and appropriately…
Structure-preserving Image Translation for Depth Estimation in Colonoscopy Video
Shuxian Wang, Akshay Paruchuri, Zhaoxi Zhang +2
Monocular depth estimation in colonoscopy video aims to overcome the unusual lighting properties of the colonoscopic environment. One of the major challenges in this area is the do…
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Akshay Paruchuri, Jake Garrison, Shun Liao +5
Language models (LM) are capable of remarkably complex linguistic tasks; however, numerical reasoning is an area in which they frequently struggle. An important but rarely evaluate…
Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei +17
Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code gene…
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos
Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang +4
Monocular depth estimation in endoscopy videos can enable assistive and robotic surgery to obtain better coverage of the organ and detection of various health issues. Despite promi…
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement
Akshay Paruchuri, Xin Liu, Yulu Pan +3
Machine learning models for camera-based physiological measurement can have weak generalization due to a lack of representative training data. Body motion is one of the most signif…
rPPG-Toolbox: Deep Remote PPG Toolbox
Xin Liu, Girish Narayanswamy, Akshay Paruchuri +7
Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the periph…