A Survey of Historical Learning: Learning Models with Learning History

1 code implementation • 23 Mar 2023 • Xiang Li, Ge Wu, Lingfeng Yang, Wenhai Wang, RenJie Song, Jian Yang

The various types of elements, deposited in the training history, are a large amount of wealth for improving learning deep models.

Ensemble Learning

Linear Array Network for Low-light Image Enhancement

no code implementations • 22 Jan 2022 • Keqi Wang, Ziteng Cui, Jieru Jia, Hao Xu, Ge Wu, Yin Zhuang, Lu Chen, Zhiguo Hu, Yuhua Qian

However, the convolution operation is based on a local sliding window mechanism, which is difficult to construct the long-range dependencies of the feature maps.

Low-Light Image Enhancement

AIM 2020 Challenge on Rendering Realistic Bokeh

no code implementations • 10 Nov 2020 • Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results.

Bokeh Effect Rendering

Automatic three-dimensional-scanned garment fitting based on virtual tailoring and geometric sewing

no code implementations • 19 Dec 2018 • Duan Li, Yueqi Zhong, Ge Wu, Pengpeng Hu

The patches of the three-dimensional garment were automatically positioned around the human model by setting up the correspondence via feature matching.

Personalized 3D mannequin reconstruction based on 3D scanning

no code implementations • 16 Apr 2018 • Pengpeng Hu, Duan Li, Ge Wu, Taku Komura, Dongliang Zhang, Yueqi Zhong

A personalized mannequin is essential for apparel customization using CAD technologies.

Foot shape prediction using elliptical Fourier analysis

no code implementations • 17 Dec 2017 • Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan

In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes.

3D textile reconstruction based on KinectFusion and synthesized texture

no code implementations • 6 Nov 2017 • Pengpeng Hu, Taku Komura, Duan Li, Ge Wu, Yueqi Zhong

Purpose The purpose of this paper is to present a novel framework of reconstructing the 3D textile model with synthesized texture.

A study on improving the calibration of body scanner built on multiple RGB-Depth cameras

no code implementations • 5 Jun 2017 • Ge Wu, Duan Li, Yueqi Zhong, Pengpeng Hu

Purpose The calibration is a key but cumbersome process for 3D body scanning using multiple depth cameras.

Automatic foot scanning and measurement based on multiple RGB-depth cameras

no code implementations • 25 Nov 2016 • Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan

In this paper, a system with six depth cameras was built to scan both feet simultaneously.

Automatic body measurement based on slicing loops

no code implementations • 4 Jun 2016 • Yueqi Zhong, Duan Li, Ge Wu, Pengpeng Hu

The purpose of this paper is to propose a new method of body measurement based on the loop structure.

Two-step registration in 3D human body scanning based on multiple RGB-D sensors

no code implementations • 1 Dec 2015 • Pengpeng Hu, Yueqi Zhong, Ge Wu, Duan Li

In this paper, we propose a universal registration method for the body scanner consists of multiple fixed sensors.