activity
20212024
most citedAdversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

37 citations · 69 across the 32 of their papers we have counts for

collaborators

32 papers

cs.CV2024

Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions

Weng Fei Low, Gim Hee Lee

The stark contrast in the design philosophy of an event camera makes it particularly ideal for operating under high-speed, high dynamic range and low-light conditions, where standa…

cs.RO2024

LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph

Yixin Fang, Yanyan Li, Kun Qian +3

This paper proposes a versatile graph-based lifelong localization framework, LiLoc, which enhances its timeliness by maintaining a single central session while improves the accurac…

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…