1 citations · 2 across the 6 of their papers we have counts for
6 papers
Probing Visual Planning in Image Editing Models
Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao +2
Visual planning represents a crucial facet of human intelligence, especially in tasks that require complex spatial reasoning and navigation. Yet, in machine learning, this inherent…
ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
Yanpeng Zhao, Wentao Ding, Hongtao Li +2
A recent trend in vision-language models (VLMs) has been to enhance their spatial cognition for embodied domains. Despite progress, existing evaluations have been limited both in p…
NeoWorld: Neural Simulation of Explorable Virtual Worlds via Progressive 3D Unfolding
Yanpeng Zhao, Shanyan Guan, Yunbo Wang +3
We introduce NeoWorld, a deep learning framework for generating interactive 3D virtual worlds from a single input image. Inspired by the on-demand worldbuilding concept in the scie…
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
Yanpeng Zhao, Yiwei Hao, Siyu Gao +2
Learning object-centric representations from unsupervised videos is challenging. Unlike most previous approaches that focus on decomposing 2D images, we present a 3D generative mod…
Neural Bi-Lexicalized PCFG Induction
Songlin Yang, Yanpeng Zhao, Kewei Tu
Neural lexicalized PCFGs (L-PCFGs) have been shown effective in grammar induction. However, to reduce computational complexity, they make a strong independence assumption on the ge…
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
Songlin Yang, Yanpeng Zhao, Kewei Tu
Probabilistic context-free grammars (PCFGs) with neural parameterization have been shown to be effective in unsupervised phrase-structure grammar induction. However, due to the cub…