Search Results for author: Dong Yi

Found 10 papers, 1 papers with code

PFDM: Parser-Free Virtual Try-on via Diffusion Model

no code implementations5 Feb 2024 Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu, Pengxiang Cai, Jinqiao Wang

Virtual try-on can significantly improve the garment shopping experiences in both online and in-store scenarios, attracting broad interest in computer vision.

Virtual Try-on

Large-scale Bisample Learning on ID Versus Spot Face Recognition

no code implementations8 Jun 2018 Xiangyu Zhu, Hao liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li

In this paper, we propose a deep learning based large-scale bisample learning (LBL) method for IvS face recognition.

Face Recognition General Classification

High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild

no code implementations CVPR 2015 Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li

Pose and expression normalization is a crucial step to recover the canonical view of faces under arbitrary conditions, so as to improve the face recognition performance.

Face Recognition Vocal Bursts Intensity Prediction

Learning Face Representation from Scratch

13 code implementations28 Nov 2014 Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li

The current situation in the field of face recognition is that data is more important than algorithm.

Face Recognition

Deep Metric Learning for Practical Person Re-Identification

no code implementations18 Jul 2014 Dong Yi, Zhen Lei, Stan Z. Li

Compared to existing researches, a more practical setting is studied in the experiments that is training and test on different datasets (cross dataset person re-identification).

Metric Learning Person Re-Identification

Shared Representation Learning for Heterogeneous Face Recognition

no code implementations5 Jun 2014 Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li

For NIR-VIS problem, we produce new state-of-the-art performance on the CASIA HFB and NIR-VIS 2. 0 databases.

Face Recognition Heterogeneous Face Recognition +1

Towards Pose Robust Face Recognition

no code implementations CVPR 2013 Dong Yi, Zhen Lei, Stan Z. Li

In this paper, we propose a novel method for pose robust face recognition towards practical applications, which is fast, pose robust and can work well under unconstrained environments.

Face Recognition Robust Face Recognition

Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems

no code implementations28 Feb 2013 Dong Yi, Zhen Lei, Yang Hu, Stan Z. Li

However, the use of this method is very generic and not limited in face recognition, which can be easily generalized to other biometrics as a post-processing module.

Computational Efficiency Face Recognition

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