3 papers
cs.CV2025
GazeProphetV2: Head-Movement-Based Gaze Prediction Enabling Efficient Foveated Rendering on Mobile VR
Farhaan Ebadulla, Chiraag Mudlpaur, Shreya Chaurasia +1
Predicting gaze behavior in virtual reality environments remains a significant challenge with implications for rendering optimization and interface design. This paper introduces a…
cs.CV2025
GazeProphet: Software-Only Gaze Prediction for VR Foveated Rendering
Farhaan Ebadulla, Chiraag Mudlapur, Gaurav BV
Foveated rendering significantly reduces computational demands in virtual reality applications by concentrating rendering quality where users focus their gaze. Current approaches r…
cs.MA2025
Graph-Based Complexity Metrics for Multi-Agent Curriculum Learning: A Validated Approach to Task Ordering in Cooperative Coordination Environments
Farhaan Ebadulla, Dharini Hindlatti, Srinivaasan NS +2
Multi-agent reinforcement learning (MARL) faces significant challenges in task sequencing and curriculum design, particularly for cooperative coordination scenarios. While curricul…