activity
20232026
most citedCosmos World Foundation Model Platform for Physical AI

11 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

The 10th AI City Challenge

Zheng Tang, Shuo Wang, David C. Anastasiu +34

The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI. Since its 2017 start with v…

cs.CV2026

A Unified 3D Object Perception Framework for Real-Time Outside-In Multi-Camera Systems

Yizhou Wang, Sameer Pusegaonkar, Yuxing Wang +10

Accurate 3D object perception and multi-target multi-camera (MTMC) tracking are fundamental for the digital transformation of industrial infrastructure. However, transitioning "ins…

cs.RO2025

UrbanVLA: A Vision-Language-Action Model for Urban Micromobility

Anqi Li, Zhiyong Wang, Jiazhao Zhang +5

Urban micromobility applications, such as delivery robots, demand reliable navigation across large-scale urban environments while following long-horizon route instructions. This ta…

cs.RO2025

Embodied Navigation Foundation Model

Jiazhao Zhang, Anqi Li, Yunpeng Qi +14

Navigation is a fundamental capability in embodied AI, representing the intelligence required to perceive and interact within physical environments following language instructions.…

cs.RO2025

TrackVLA: Embodied Visual Tracking in the Wild

Shaoan Wang, Jiazhao Zhang, Minghan Li +7

Embodied visual tracking is a fundamental skill in Embodied AI, enabling an agent to follow a specific target in dynamic environments using only egocentric vision. This task is inh…

cs.CV2025★ 11 cited

Cosmos World Foundation Model Platform for Physical AI

NVIDIA, :, Niket Agarwal +76

Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present th…

cs.CV2023

NICE-SLAM with Adaptive Feature Grids

Ganlin Zhang, Deheng Zhang, Feichi Lu +1

NICE-SLAM is a dense visual SLAM system that combines the advantages of neural implicit representations and hierarchical grid-based scene representation. However, the hierarchical…