7 papers
AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification
Basudha Pal, Siyuan Huang, Anirudh Nanduri +2
Person re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often infl…
The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment
Laura McDaniel, Basudha Pal, Crystal Szczesny +5
Frailty is a condition in aging medicine characterized by diminished physiological reserve and increased vulnerability to stressors. However, frailty assessment remains subjective,…
DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
Basudha Pal, Rama Chellappa
Facial attribute classification relies on large-scale annotated datasets in which many traits, such as age and expression, are inherently ambiguous and continuous but are discretiz…
GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification
Basudha Pal, Sharif Amit Kamran, Brendon Lutnick +8
Psoriasis (PsO) severity scoring is important for clinical trials but is hindered by inter-rater variability and the burden of in person clinical evaluation. Remote imaging using p…
Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
Basudha Pal, Rama Chellappa, Muhammad Umair
While echocardiography and MRI are clinical standards for evaluating cardiac structure, their use is limited by cost and accessibility.We introduce a direct classification framewor…
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
Basudha Pal, Siyuan Huang, Rama Chellappa
Person Re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often infl…