20 citations · 75 across the 20 of their papers we have counts for
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GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
Adrian Cosma, Emilian Radoi
Gait analysis is proven to be a reliable way to perform person identification without relying on subject cooperation. Walking is a biometric that does not significantly change in s…
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis
Adrian Cosma, Emilian Radoi
Gait analysis leverages unique walking patterns for person identification and assessment across multiple domains. Among the methods used for gait analysis, skeleton-based approache…
PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait
Adrian Cosma, Emilian Radoi
Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psych…
GaitPT: Skeletons Are All You Need For Gait Recognition
Andy Catruna, Adrian Cosma, Emilian Radoi
The analysis of patterns of walking is an important area of research that has numerous applications in security, healthcare, sports and human-computer interaction. Lately, walking…
GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes
Adrian Cosma, Emilian Radoi
Gait, the manner of walking, has been proven to be a reliable biometric with uses in surveillance, marketing and security. A promising new direction for the field is training gait…
It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers
Ana-Maria Bucur, Adrian Cosma, Paolo Rosso +1
Depression detection from user-generated content on the internet has been a long-lasting topic of interest in the research community, providing valuable screening tools for psychol…