most citedASIA: Adaptive 3D Segmentation using Few Image Annotations

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

collaborators

5 papers

cs.RO2025

VacuumVLA: Boosting VLA Capabilities via a Unified Suction and Gripping Tool for Complex Robotic Manipulation

Hui Zhou, Siyuan Huang, Minxing Li +3

Vision Language Action models have significantly advanced general purpose robotic manipulation by harnessing large scale pretrained vision and language representations. Among exist…

cs.CV2025

Hierarchical Transformers for Unsupervised 3D Shape Abstraction

Aditya Vora, Lily Goli, Andrea Tagliasacchi +1

We introduce HiT, a novel hierarchical neural field representation for 3D shapes that learns general hierarchies in a coarse-to-fine manner across different shape categories in an…

cs.CV20252 cited

ASIA: Adaptive 3D Segmentation using Few Image Annotations

Sai Raj Kishore Perla, Aditya Vora, Sauradip Nag +2

We introduce ASIA (Adaptive 3D Segmentation using few Image Annotations), a novel framework that enables segmentation of possibly non-semantic and non-text-describable "parts" in 3…

cs.CV2025

Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?

Gary Song Yan, Yusen Zhang, Jinyu Zhao +9

In this pioneering study, we introduce StyleWallfacer, a groundbreaking unified training and inference framework, which not only addresses various issues encountered in the style t…

cs.GR2025

In-2-4D: Inbetweening from Two Single-View Images to 4D Generation

Sauradip Nag, Daniel Cohen-Or, Hao Zhang +1

We pose a new problem, In-2-4D, for generative 4D (i.e., 3D + motion) inbetweening to interpolate two single-view images. In contrast to video/4D generation from only text or a sin…