1 citations · 1 across the 8 of their papers we have counts for
10 papers
Navigation Alone Is Not Enough: Evaluating Explanatory Assistive UI Agents
Santosh Patapati
Modern web interfaces are increasingly difficult to use with screen readers, particularly when pages update dynamically or hide important structure behind visual layout. Recent UI…
Graph Coloring for Multi-Task Learning
Santosh Patapati, Ian Noronha
When different objectives conflict with each other in multi-task learning, gradients begin to interfere and slow convergence, thereby potentially reducing the final model's perform…
Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
Trisanth Srinivasan, Santosh Patapati
This paper introduces Democracy-in-Silico, an agent-based simulation where societies of advanced AI agents, imbued with complex psychological personas, govern themselves under diff…
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…
DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems
Trisanth Srinivasan, Santosh Patapati, Himani Musku +7
Cyber-Physical Systems (CPS) increasingly depend on advanced AI techniques to operate in critical applications. However, traditional verification and validation methods often strug…
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…
WebNav: An Intelligent Agent for Voice-Controlled Web Navigation
Trisanth Srinivasan, Santosh Patapati
The current state of modern web interfaces, especially in regards to accessibility focused usage is extremely lacking. Traditional methods for web interaction, such as scripting la…
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…