most citedSparseGS: Sparse View Synthesis using 3D Gaussian Splatting

5 citations · 5 across the 3 of their papers we have counts for

collaborators

9 papers

cs.NI2026

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

Rishi Sharma, Martijn de Vos, Pradyumna Chari +2

Collaborative agentic AI is projected to transform entire industries by enabling AI-powered agents to autonomously perceive, plan, and act within digital environments. Yet, current…

cs.CR2026

Data Facts: A Metadata Schema for Structured Data Exchange in the NANDini Multi-Agent Ecosystem

Jin Gao, Maria Gorskikh, Pradyumna Chari +5

NANDini (Networked Agents Natural Distillation of Interconnected Nodal Intelligence) envisions an automated ecosystem where intelligent agents independently create, process, and ex…

cs.CV20265 cited

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +4

3D Gaussian Splatting (3DGS) has recently enabled real-time rendering of unbounded 3D scenes for novel view synthesis. However, this technique requires dense training views to accu…

eess.IV2025

Equitable non-contact infrared thermography after solar loading using deep learning

Ellin Q. Zhao, Alexander Vilesov, Pradyumna Chari +2

Widely deployed for fever detection, infrared thermometers (IRTs) enable rapid non-contact measurement of core body temperature but are inaccurate in unconstrained environments whe…

cs.NI2025

Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches

Aditi Singh, Abul Ehtesham, Mahesh Lambe +8

Autonomous AI agents now operate across cloud, enterprise, and decentralized domains, creating demand for registry infrastructures that enable trustworthy discovery, capability neg…

cs.NI2025

NANDA Adaptive Resolver: Architecture for Dynamic Resolution of AI Agent Names

John Zinky, Hema Seshadri, Mahesh Lambe +2

AdaptiveResolver is a dynamic microservice architecture designed to address the limitations of static endpoint resolution for AI agent communication in distributed, heterogeneous e…