collaborators

27 papers

cs.CR2026

TeleGapper: On the (un)reliability of Privacy Policies in Telegram Mini apps

Luca Ferrari, Mariano Ceccato, Luca Verderame

Telegram Mini Apps are Web applications embedded within the Telegram client, forming an ecosystem of third-party services within one of the world's most widely used messaging platf…

cs.CV2026

Motion Attribution for Video Generation

Xindi Wu, Despoina Paschalidou, Jun Gao +5

Despite the rapid progress of video generation models, the role of data in influencing motion is poorly understood. We present Motive (MOTIon attribution for Video gEneration), a m…

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

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

Matthew Cong, Francis Williams, Jonathan Swartz +3

Gaussian splatting methods have become increasingly popular for neural reconstruction of the real world. However, they are often limited in scale and resolution due to compute and…

cs.CV2026

TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions

Or Perel, Hassan Abu Alhaija, Zian Wang +4

We introduce TRON, a rendering framework that combines 3D Gaussian ray tracing with neural rendering to enable realistic and controllable rendering of real-world 3D scenes under no…

cs.RO2026

GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors

Tianyi Xie, Haotian Zhang, Jinhyung Park +17

Scaling humanoid loco-manipulation requires robot-compatible demonstrations across diverse objects, whole-body motions, and scene geometries, but teleoperation and motion capture a…