activity
20202026
most citedHRFormer: High-Resolution Transformer for Dense Prediction

128 citations · 129 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction

Yuxin Ray Song, Jinzhou Li, Rao Fu +12

The human hand is our primary interface to the physical world, yet egocentric perception rarely knows when, where, or how forcefully it makes contact. Robust wearable tactile senso…

cs.CV2025

DyTact: Capturing Dynamic Contacts in Hand-Object Manipulation

Xiaoyan Cong, Angela Xing, Chandradeep Pokhariya +2

Reconstructing dynamic hand-object contacts is essential for realistic manipulation in AI character animation, XR, and robotics, yet it remains challenging due to heavy occlusions,…

cs.CV2025

Art3D: Training-Free 3D Generation from Flat-Colored Illustration

Xiaoyan Cong, Jiayi Shen, Zekun Li +3

Large-scale pre-trained image-to-3D generative models have exhibited remarkable capabilities in diverse shape generations. However, most of them struggle to synthesize plausible 3D…

cs.CV2024

GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities

Rao Fu, Dingxi Zhang, Alex Jiang +4

Understanding bimanual human hand activities is a critical problem in AI and robotics. We cannot build large models of bimanual activities because existing datasets lack the scale,…

cs.CV20249 cited

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Rao Fu, Jingyu Liu, Xilun Chen +2

This paper introduces Scene-LLM, a 3D-visual-language model that enhances embodied agents' abilities in interactive 3D indoor environments by integrating the reasoning strengths of…

cs.CV2023

AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes

Rao Fu, Zehao Wen, Zichen Liu +1

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text into well-structured and textured indoor scenes at a house-scale. By prompting Large Lang…