Tags: Neural Rendering, 3D Reconstruction, Novel View Synthesis, Computer Graphics
A PyTorch implementation of 3D Gaussian Splatting for real-time radiance field rendering and novel view synthesis. Features end-to-end training pipeline, inference capabilities for rendering novel camera trajectories, and support for Mip-NeRF 360 datasets. Implements learnable 3D Gaussian primitives with spherical harmonics for view-dependent appearance modeling.
Tags: Multimodal AI, Vision-Language Understanding, Deep Learning
Research and implementation of vision-language models exploring the intersection of computer vision and natural language processing. Focuses on developing and evaluating models that can understand and reason about both visual and textual information for downstream tasks.
Tags: Autonomous Vehicles, Game Theory, Multi-Agent Systems, Decision Making
An interactive simulation exploring game theory principles in autonomous vehicle decision-making and negotiation strategies. Demonstrates how game-theoretic approaches can be applied to multi-agent scenarios in self-driving systems, enabling vehicles to make strategic decisions in complex traffic situations.
Tags: Bayesian Optimization, Computability, Risk-Aware AI
A novel Bayesian optimization framework for black-box functions with uncertain or uncomputable outputs, integrating Gaussian process surrogates and halting probability modeling for risk-aware decision making in computationally intractable domains.
Tags: Vision Enhancement, Selective Dehazing, Object Detection
An adaptive deep learning pipeline for object detection in adverse weather, leveraging selective region dehazing and human visual system-inspired attention to maintain accuracy in fog, haze, and clear conditions.
Tags: Lunar Image Registration, SIFT+ORB Fusion, Space Imaging
A hybrid feature-based image registration toolkit for lunar surface analysis, combining SIFT and ORB descriptors to achieve robust alignment across diverse lunar imagery and mission datasets.
Tags: NLP, Media Analysis, Vaccine Remorse, COVID-19
A natural language processing framework for tracking COVID-19 vaccine remorse and narrative evolution in media, using sentiment analysis and temporal topic modeling to inform public health interventions.
Tags: Autonomous Vehicles, Multi-Modal Fusion, Robust Perception
Evaluation and comparison of advanced sensor fusion architectures (Spatial-IL, Fusion-DETR, HFN) for robust perception in autonomous vehicles, with adversarial testing on the KITTI dataset.
Tags: LLM Evaluation, Cognitive Taxonomy, Prompt Engineering
A universal evaluation framework for large language models, introducing the Hierarchical Prompting Taxonomy (HPT) and Index (HPI) to benchmark cognitive complexity and prompt-based reasoning.