1 citations · 1 across the 8 of their papers we have counts for
5 papers · 1 filter
Vision-Language Cross-Attention for Real-Time Autonomous Driving
Santosh Patapati, Trisanth Srinivasan, Murari Ambati
Autonomous cars need geometric accuracy and semantic understanding to navigate complex environments, yet most stacks handle them separately. We present XYZ-Drive, a single vision-l…
Goal-Based Vision-Language Driving
Santosh Patapati, Trisanth Srinivasan
Autonomous vehicles must react in milliseconds while reasoning about road geometry and traffic intent to navigate complex situations. We introduce NovaDrive, a single-branch vision…
CLIP-MG: Guiding Semantic Attention with Skeletal Pose Features and RGB Data for Micro-Gesture Recognition on the iMiGUE Dataset
Santosh Patapati, Trisanth Srinivasan, Amith Adiraju
Micro-gesture recognition is a challenging task in affective computing due to the subtle, involuntary nature of the gestures and their low movement amplitude. In this paper, we int…
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Trisanth Srinivasan, Santosh Patapati
Robust navigation in diverse environments and domains requires both accurate state estimation and transparent decision making. We present PhysNav-DG, a novel framework that integra…
Integrating Large Language Models into a Tri-Modal Architecture for Automated Depression Classification on the DAIC-WOZ
Santosh V. Patapati
Major Depressive Disorder (MDD) is a pervasive mental health condition that affects 300 million people worldwide. This work presents a novel, BiLSTM-based tri-modal model-level fus…