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20212023
most citedAdversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

37 citations · 59 across the 15 of their papers we have counts for

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cs.CV2024

TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly

Mengqi Guo, Chen Li, Yuyang Zhao +1

Inferring step-wise actions to assemble 3D objects with primitive bricks from images is a challenging task due to complex constraints and the vast number of possible combinations.…

cs.CV2024

Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding

Yunsong Wang, Na Zhao, Gim Hee Lee

The field of self-supervised 3D representation learning has emerged as a promising solution to alleviate the challenge presented by the scarcity of extensive, well-annotated datase…

cs.CV2024

Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption

Buzhen Huang, Chen Li, Chongyang Xu +3

Existing multi-person human reconstruction approaches mainly focus on recovering accurate poses or avoiding penetration, but overlook the modeling of close interactions. In this wo…

cs.CV20242 cited

Segment Any 3D Object with Language

Seungjun Lee, Yuyang Zhao, Gim Hee Lee

In this paper, we investigate Open-Vocabulary 3D Instance Segmentation (OV-3DIS) with free-form language instructions. Earlier works that rely on only annotated base categories for…

cs.CV2024

GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields

Yunsong Wang, Hanlin Chen, Gim Hee Lee

Recent advancements in vision-language foundation models have significantly enhanced open-vocabulary 3D scene understanding. However, the generalizability of existing methods is co…

cs.CV2024

DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF

Jie Long Lee, Chen Li, Gim Hee Lee

We present DiSR-NeRF, a diffusion-guided framework for view-consistent super-resolution (SR) NeRF. Unlike prior works, we circumvent the requirement for high-resolution (HR) refere…