Search Results for author: Shengyong Ding

Found 9 papers, 0 papers with code

Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis

no code implementations20 Oct 2019 Zelin Xiao, Hongxin Lin, Renjie Li, Hongyang Chao, Shengyong Ding

Interestingly, the principal component analysis exactly provides an effective way to define such a frame, i. e. setting the principal components as the frame axes.

Object Retrieval

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables

no code implementations14 Aug 2019 Hongxin Lin, Zelin Xiao, Yang Tan, Hongyang Chao, Shengyong Ding

Deep models are capable of fitting complex high dimensional functions while usually yielding large computation load.

Face Recognition from Sequential Sparse 3D Data via Deep Registration

no code implementations23 Oct 2018 Yang Tan, Hongxin Lin, Zelin Xiao, Shengyong Ding, Hongyang Chao

However, such devices only provide sparse(limited speckles in structured light system) and noisy 3D data which can not support face recognition directly.

Face Recognition

Deep Joint Face Hallucination and Recognition

no code implementations24 Nov 2016 Junyu Wu, Shengyong Ding, Wei Xu, Hongyang Chao

However, we observe that directly feeding the hallucinated facial images into recog- nition models can even degrade the recognition performance despite the much better visualization quality.

Face Hallucination Face Recognition +1

Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models

no code implementations24 Nov 2016 Shengyong Ding, Junyu Wu, Wei Xu, Hongyang Chao

In this paper, we propose a method to automatically and incrementally construct datasets from massive weakly labeled data of the target domain which are readily available on the Internet under the help of a pretrained face model.

Face Model Face Recognition

DARI: Distance metric And Representation Integration for Person Verification

no code implementations15 Apr 2016 Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang

The past decade has witnessed the rapid development of feature representation learning and distance metric learning, whereas the two steps are often discussed separately.

Ranked #7 on Person Re-Identification on SYSU-30k (using extra training data)

Metric Learning Person Re-Identification +1

Deep Feature Learning with Relative Distance Comparison for Person Re-identification

no code implementations11 Dec 2015 Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao

Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance.

Ranked #9 on Person Re-Identification on SYSU-30k (using extra training data)

Person Re-Identification

Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks

no code implementations13 Jul 2015 Zhujin Liang, Shengyong Ding, Liang Lin

This paper investigates how to rapidly and accurately localize facial landmarks in unconstrained, cluttered environments rather than in the well segmented face images.

Face Alignment

End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning

no code implementations28 Jan 2015 Liliang Zhang, Liang Lin, Xian Wu, Shengyong Ding, Lei Zhang

Sketch-based face recognition is an interesting task in vision and multimedia research, yet it is quite challenging due to the great difference between face photos and sketches.

Face Recognition Representation Learning

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