Search Results for author: Cuihua Li

Found 8 papers, 3 papers with code

LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block

2 code implementations ECCV 2020 Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu

Drawing lessons from lattice filter bank, we design the lattice block (LB) in which two butterfly structures are applied to combine two RBs.

Image Super-Resolution

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

4 code implementations AAAI 2021 Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei

Firstly, we construct a pretext task, \textit{i. e.,} point cloud colorization, with a self-supervised learning to transfer the learned prior knowledge from a large amount of unlabeled point cloud to a weakly supervised network.

Colorization Pseudo Label +3

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

3 code implementations ICCV 2021 Yachao Zhang, Yanyun Qu, Yuan Xie, Zonghao Li, Shanshan Zheng, Cuihua Li

In this way, the graph topology of the whole point cloud can be effectively established by the introduced auxiliary supervision, such that the information propagation between the labeled and unlabeled points will be realized.

Self-Supervised Learning Semantic Segmentation +1

Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation

no code implementations31 May 2019 Mengxi Jiang, Zhuliang Yu, Cuihua Li, Yunqi Lei

Specifically, we propose a Shape Decomposition Model (SDM) in which a 3D pose is considered as the superposition of two parts which are global structure together with some deformations.

3D Pose Estimation Dictionary Learning

Bi-GANs-ST for Perceptual Image Super-resolution

no code implementations1 Nov 2018 Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Cuihua Li

In this paper, motivated by [1], we aim to generate a high-quality SR result which balances between the two indices, i. e., the perception index and root-mean-square error (RMSE).

Image Super-Resolution SSIM

Jointly Deep Multi-View Learning for Clustering Analysis

no code implementations19 Aug 2018 Bingqian Lin, Yuan Xie, Yanyun Qu, Cuihua Li, Xiaodan Liang

To our best knowledge, this is the first work to model the multi-view clustering in a deep joint framework, which will provide a meaningful thinking in unsupervised multi-view learning.

Clustering Multiview Clustering +1

An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition

no code implementations25 Mar 2016 Yan Yan, Hanzi Wang, Cuihua Li, Chenhui Yang, Bineng Zhong

In this paper, an effective unconstrained correlation filter called Uncon- strained Optimal Origin Tradeoff Filter (UOOTF) is presented and applied to robust face recognition.

Face Recognition Robust Face Recognition

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