no code implementations • 22 Nov 2022 • Shengnan Liang, Yichen Liu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
We present ONeRF, a method that automatically segments and reconstructs object instances in 3D from multi-view RGB images without any additional manual annotations.
no code implementations • 21 Nov 2022 • Benran Hu, Junkai Huang, Yichen Liu, Yu-Wing Tai, Chi-Keung Tang
Given a pre-trained NeRF model, NeRF-RPN aims to detect all bounding boxes of objects in a scene.
no code implementations • 24 Jun 2022 • Yihao Zhang, Xiaomin Liu, Yichen Liu, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression.
no code implementations • 13 Jun 2022 • Xiaomin Liu, Yuli Chen, Yihao Zhang, Yichen Liu, Lilin Yi, Weisheng Hu, Qunbi Zhuge
We propose a physics-informed EDFA gain model based on the active learning method.
no code implementations • 10 May 2022 • Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao
Our model learns to manipulate the texture of a scene to match a sound, a problem we term audio-driven image stylization.
no code implementations • 13 Dec 2021 • Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu
We present Native Chinese Reader (NCR), a new machine reading comprehension (MRC) dataset with particularly long articles in both modern and classical Chinese.
no code implementations • 29 Sep 2021 • Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Yue Wang, Yang Yuan, Hang Zhao
We name this problem of multi-modal training, \emph{Modality Laziness}.
no code implementations • 21 Jun 2021 • Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao
We name this problem Modality Failure, and hypothesize that the imbalance of modalities and the implicit bias of common objectives in fusion method prevent encoders of each modality from sufficient feature learning.
Ranked #31 on
Semantic Segmentation
on NYU Depth v2