8 citations · 48 across the 22 of their papers we have counts for
30 papers · 1 filter
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang, Gim Hee Lee
Domain adaptation (DA) aims to transfer knowledge from a fully labeled source to a scarcely labeled or totally unlabeled target under domain shift. Recently, semi-supervised learni…
DReg-NeRF: Deep Registration for Neural Radiance Fields
Yu Chen, Gim Hee Lee
Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention. Unlike the existing work, Ne…
GHuNeRF: Generalizable Human NeRF from a Monocular Video
Chen Li, Jiahao Lin, Gim Hee Lee
In this paper, we tackle the challenging task of learning a generalizable human NeRF model from a monocular video. Although existing generalizable human NeRFs have achieved impress…
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Stefan Lionar, Xiangyu Xu, Min Lin +1
Remarkable progress has been made in 3D reconstruction from single-view RGB-D inputs. MCC is the current state-of-the-art method in this field, which achieves unprecedented success…
OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
Zhiwen Yan, Chen Li, Gim Hee Lee
Dynamic neural radiance fields (dynamic NeRFs) have demonstrated impressive results in novel view synthesis on 3D dynamic scenes. However, they often require complete video sequenc…
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
Na Dong, Yongqiang Zhang, Mingli Ding +1
Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training. In this paper, we propose a frustrat…