activity
20242026
most citedCosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

2 citations · 3 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

An Empirical Study and Open Testbed for Federated Fine-Tuning of Vision-Language-Action Models

Zhekai Duan, Kevin Ziyang Xie, Xinyu Tan +5

Adapting a pretrained Vision-Language-Action (VLA) model to a new robot, environment, or task requires demonstrations that are collected locally and often discarded. Federated lear…

cs.CV2026

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

NVIDIA, :, Aarti Basant +33

As autonomous vehicle capabilities advance, the safe evaluation of driving policies in long-tail scenarios remains a critical bottleneck. In closed-loop simulation, the driving pol…

cs.CV2026

Cosmos 3: Omnimodal World Models for Physical AI

NVIDIA, :, Aditi +293

We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-t…

cs.CV2026

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models

Xinglong Sun, Kevin Xie, Jenny Schmalfuss +5

Autonomous driving has shifted towards end-to-end policy learning, where reliable, interpretable policy evaluation is a fundamental challenge as driving quality is highly context-d…

cs.CV2026

VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events

Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal +7

The rapid growth of ego-centric dashcam footage presents a major challenge for detecting safety-critical events such as collisions and near-collisions, scenarios that are brief, ra…

cs.CV2025

ViPE: Video Pose Engine for 3D Geometric Perception

Jiahui Huang, Qunjie Zhou, Hesam Rabeti +12

Accurate 3D geometric perception is an important prerequisite for a wide range of spatial AI systems. While state-of-the-art methods depend on large-scale training data, acquiring…

cs.GR2025

VideoPanda: Video Panoramic Diffusion with Multi-view Attention

Kevin Xie, Amirmojtaba Sabour, Jiahui Huang +5

High resolution panoramic video content is paramount for immersive experiences in Virtual Reality, but is non-trivial to collect as it requires specialized equipment and intricate…

cs.CV2025★ 2 cited

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA, :, Hassan Abu Alhaija +38

We introduce Cosmos-Transfer, a conditional world generation model that can generate world simulations based on multiple spatial control inputs of various modalities such as segmen…

cs.CV2024★ 1 cited

L4GM: Large 4D Gaussian Reconstruction Model

Jiawei Ren, Kevin Xie, Ashkan Mirzaei +8

We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second. Ke…

cs.CV2024

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

Kevin Xie, Jonathan Lorraine, Tianshi Cao +5

Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt. Amortized methods like ATT3D o…