Search Results for author: Meng Yang

Found 23 papers, 5 papers with code

Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network

no code implementations ECCV 2020 Wenfeng Luo, Meng Yang

To fully explore the potential of the weak labels, we propose to impose separate treatments of strong and weak annotations via a strong-weak dual-branch network, which discriminates the massive inaccurate weak supervisions from those strong ones.

Semi-Supervised Semantic Segmentation Weakly supervised Semantic Segmentation +1

Is Writing Prompts Really Making Art?

no code implementations26 Jan 2023 Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic, Stephen James Krol, Maria Teresa Llano, Meng Yang

In recent years Generative Machine Learning systems have advanced significantly.

Semi-Supervised Few-Shot Learning via Multi-Factor Clustering

1 code implementation CVPR 2022 Jie Ling, Lei Liao, Meng Yang, Jia Shuai

And we exploit the pseudo labels of unlabeled samples by MFC to expand the support set for obtaining more distribution information.

Data Augmentation Few-Shot Learning +1

Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling

no code implementations MICCAI Workshop COMPAY 2021 CHAOQUN LI, Yitian Zhou, TangQi Shi, Yenan Wu, Meng Yang, Zhongyu Li

Meanwhile, we present a self-ensembling model to consider the source and the target domain together as a semi-supervised segmentation task to reduce the differences of outputs.

Cell Segmentation Unsupervised Domain Adaptation

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

1 code implementation26 Mar 2021 Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes.

Cross-Modality Person Re-identification Knowledge Distillation +1

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

no code implementations25 Mar 2021 Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang

(i) To learn more robust and discriminative features, we desire to adaptively fuse the contextual features from different layers.

Face Recognition Representation Learning

Integrating Pre-trained Model into Rule-based Dialogue Management

no code implementations17 Feb 2021 Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang

Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.

Dialogue Management Management +1

HpGAN: Sequence Search with Generative Adversarial Networks

no code implementations10 Dec 2020 Mingxing Zhang, Zhengchun Zhou, Lanping Li, Zilong Liu, Meng Yang, Yanghe Feng

Sequences play an important role in many engineering applications and systems.

Pedestrian re-identification based on Tree branch network with local and global learning

no code implementations31 Mar 2019 Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu

Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task of person re-identification.

Person Re-Identification

Toward Characteristic-Preserving Image-based Virtual Try-On Network

5 code implementations ECCV 2018 Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang

Second, to alleviate boundary artifacts of warped clothes and make the results more realistic, we employ a Try-On Module that learns a composition mask to integrate the warped clothes and the rendered image to ensure smoothness.

Geometric Matching Virtual Try-on

An MM Algorithm for Split Feasibility Problems

no code implementations16 Dec 2016 Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange

Furthermore, we show that the Euclidean norm appearing in the proximity function of the non-linear split feasibility problem can be replaced by arbitrary Bregman divergences.

Large-Margin Softmax Loss for Convolutional Neural Networks

2 code implementations7 Dec 2016 Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang

Cross-entropy loss together with softmax is arguably one of the most common used supervision components in convolutional neural networks (CNNs).

General Classification

Robust Elastic Net Regression

no code implementations15 Nov 2015 Weiyang Liu, Rongmei Lin, Meng Yang

We propose a robust elastic net (REN) model for high-dimensional sparse regression and give its performance guarantees (both the statistical error bound and the optimization bound).


Latent Dictionary Learning for Sparse Representation based Classification

no code implementations CVPR 2014 Meng Yang, Dengxin Dai, Lilin Shen, Luc van Gool

Each dictionary atom is jointly learned with a latent vector, which associates this atom to the representation of different classes.

Classification Dictionary Learning +3

Collaborative Representation based Classification for Face Recognition

no code implementations11 Apr 2012 Lei Zhang, Meng Yang, Xiangchu Feng, Yi Ma, David Zhang

It is widely believed that the l1- norm sparsity constraint on coding coefficients plays a key role in the success of SRC, while its use of all training samples to collaboratively represent the query sample is rather ignored.

Classification Face Recognition +3

Regularized Robust Coding for Face Recognition

no code implementations20 Feb 2012 Meng Yang, Lei Zhang, Jian Yang, David Zhang

Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR).

Face Recognition Robust Face Recognition +1

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