Search Results for author: Rui Zeng

Found 11 papers, 4 papers with code

Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition

no code implementations28 Apr 2020 Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes

Multimodal dimensional emotion recognition has drawn a great attention from the affective computing community and numerous schemes have been extensively investigated, making a significant progress in this area.

Emotion Recognition

MTRNet++: One-stage Mask-based Scene Text Eraser

1 code implementation16 Dec 2019 Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

The results of ablation studies demonstrate that the proposed multi-branch architecture with attention blocks is effective and essential.

Scene Text

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

1 code implementation11 Oct 2019 Yunyan Xing, ZongYuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond

We demonstrate the effectiveness of our model on two tasks: (i) we invite certified radiologists to assess the quality of the generated synthetic images against real and other state-of-the-art generative models, and (ii) data augmentation to improve the performance of disease localisation.

Data Augmentation Image-to-Image Translation +1

Rethinking Planar Homography Estimation Using Perspective Fields

1 code implementation ACCV 2018 2019 Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes

In addition, the new parameterization of this task is general and can be implemented by any fully convolutional network (FCN) architecture.

Homography Estimation

Geometry-constrained Car Recognition Using a 3D Perspective Network

no code implementations19 Mar 2019 Rui Zeng, ZongYuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes

Unlike existing methods which only use attention mechanisms to locate 2D discriminative information, our work learns a novel 3D perspective feature representation of a vehicle, which is then fused with 2D appearance feature to predict the category.

MTRNet: A Generic Scene Text Eraser

1 code implementation11 Mar 2019 Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

Developing such a generic text eraser for real scenes is a challenging task, since it inherits all the challenges of multi-lingual and curved text detection and inpainting.

Curved Text Detection Scene Text

Kernel principal component analysis network for image classification

no code implementations20 Dec 2015 Dan Wu, Jiasong Wu, Rui Zeng, Longyu Jiang, Lotfi Senhadji, Huazhong Shu

In order to classify the nonlinear feature with linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network (KPCANet) is proposed.

Classification Face Recognition +3

Color Image Classification via Quaternion Principal Component Analysis Network

no code implementations5 Mar 2015 Rui Zeng, Jiasong Wu, Zhuhong Shao, Yang Chen, Lotfi Senhadji, Huazhong Shu

The Principal Component Analysis Network (PCANet), which is one of the recently proposed deep learning architectures, achieves the state-of-the-art classification accuracy in various databases.

Classification General Classification +1

Multilinear Principal Component Analysis Network for Tensor Object Classification

no code implementations5 Nov 2014 Rui Zeng, Jiasong Wu, Zhuhong Shao, Lotfi Senhadji, Huazhong Shu

The recently proposed principal component analysis network (PCANet) has been proved high performance for visual content classification.

Classification General Classification +1

Tensor object classification via multilinear discriminant analysis network

no code implementations5 Nov 2014 Rui Zeng, Jiasong Wu, Lotfi Senhadji, Huazhong Shu

The MLDANet is a variation of linear discriminant analysis network (LDANet) and principal component analysis network (PCANet), both of which are the recently proposed deep learning algorithms.

Classification General Classification +1

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