Search Results for author: Masoumeh Zareapoor

Found 18 papers, 5 papers with code

SeTformer is What You Need for Vision and Language

no code implementations7 Jan 2024 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg

Kernel methods are employed to simplify computations by approximating softmax but often lead to performance drops compared to softmax attention.

Computational Efficiency Language Modelling +3

Distance Weighted Trans Network for Image Completion

no code implementations11 Oct 2023 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Xuelong Li, Yue Lu

The challenge of image generation has been effectively modeled as a problem of structure priors or transformation.

Image Generation

Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold

no code implementations24 Jul 2023 Pourya Shamsolmoali, Masoumeh Zareapoor

This paper focuses on an accurate and fast interpolation approach for image transformation employed in the design of CNN architectures.

Image Reconstruction

Image Completion via Dual-path Cooperative Filtering

1 code implementation30 Apr 2023 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger

Given the recent advances with image-generating algorithms, deep image completion methods have made significant progress.

VTAE: Variational Transformer Autoencoder with Manifolds Learning

1 code implementation3 Apr 2023 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, DaCheng Tao, Xuelong Li

This weak projection, however, can be addressed by a Riemannian metric, and we show that geodesics computation and accurate interpolations between data samples on the Riemannian manifold can substantially improve the performance of deep generative models.

Representation Learning

Hybrid Gromov-Wasserstein Embedding for Capsule Learning

no code implementations1 Sep 2022 Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador Garcia

Capsule networks (CapsNets) aim to parse images into a hierarchy of objects, parts, and their relations using a two-step process involving part-whole transformation and hierarchical component routing.

object-detection Object Detection

Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network

no code implementations20 May 2022 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou

Skin lesion detection in dermoscopic images is essential in the accurate and early diagnosis of skin cancer by a computerized apparatus.

Lesion Detection Lesion Segmentation +2

Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images

no code implementations12 May 2022 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Jocelyn Chanussot, Jie Yang

In IPSSD, single-shot detector is adopted combined with an image pyramid network to extract semantically strong features for generating candidate regions.

Object object-detection +1

Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Search

no code implementations9 Feb 2022 Lu Wang, Jie Yang, Masoumeh Zareapoor, ZhongLong Zheng

Cross-modal hashing still has some challenges needed to address: (1) most existing CMH methods take graphs as input to model data distribution.

Retrieval

Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images

no code implementations18 Aug 2021 Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

Second, most of the standard methods used hand-crafted features, and do not work well on the detection of objects parts of which are missing.

Object object-detection +1

Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery

no code implementations2 Jun 2021 Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang

The proposed model adopts single-shot detector in parallel with a lightweight image pyramid module to extract representative features and generate regions of interest in an optimization approach.

Object object-detection +1

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

1 code implementation26 Dec 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang

However, there is a lack of comprehensive review in this field, especially lack of a collection of GANs loss-variant, evaluation metrics, remedies for diverse image generation, and stable training.

Image-to-Image Translation Translation

Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks

1 code implementation10 Aug 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang

We also propose a feature pyramid network that improves the performance of the proposed model by extracting effective features from all the layers of the network for describing different scales objects.

Domain Adaptation Image Generation +1

Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis

no code implementations7 Aug 2020 Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang

In particular, we restore the balance in the imbalanced dataset by generating faulty samples from the proposed mixture of data distribution.

Fault Detection Generative Adversarial Network

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks

no code implementations5 Apr 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang

It improves learning from imbalanced data by incorporating the majority distribution structure in the generation of new minority samples.

AMIL: Adversarial Multi Instance Learning for Human Pose Estimation

1 code implementation18 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

The proposed adversarial residual multi-instance neural network that is based on pooling has been validated on two datasets for the human pose estimation task and successfully outperforms the other state-of-arts models.

Multiple Instance Learning Pose Estimation +2

A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

no code implementations17 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang, Huiyu Zhou, Jie Yang

This paper presents a novel deep neural network structure for pixel-wise sea-land segmentation, a Residual Dense U-Net (RDU-Net), in complex and high-density remote sensing images.

Segmentation

Multi-scale convolutional neural network for multi-focus image fusion

no code implementations5 Mar 2019 Hafiz Tayyab Mustafa, Jie Yang, Masoumeh Zareapoor

To address the above issues, we proposed a new MFIF method, which aims to learn feature extraction, fusion and reconstruction components together to produce a complete unsupervised end-to-end trainable deep CNN.

SSIM

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