Mohammad Havaei | DeepAI

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∙ 04/06/2023

Source-free Domain Adaptation Requires Penalized Diversity

While neural networks are capable of achieving human-like performance in...

0 Laya Rafiee Sevyeri, et al. ∙

∙ 11/28/2022

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning

Humans have perfected the art of learning from multiple modalities throu...

0 Ivaxi Sheth, et al. ∙

∙ 05/31/2022

FHIST: A Benchmark for Few-shot Classification of Histological Images

Few-shot learning has recently attracted wide interest in image classifi...

17 Fereshteh Shakeri, et al. ∙

∙ 05/23/2022

FL Games: A federated learning framework for distribution shifts

Federated learning aims to train predictive models for data that is dist...

18 Sharut Gupta, et al. ∙

∙ 04/27/2022

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

In Federated Learning (FL), a number of clients or devices collaborate t...

15 Farshid Varno, et al. ∙

∙ 10/14/2021

CT-SGAN: Computed Tomography Synthesis GAN

Diversity in data is critical for the successful training of deep learni...

11 Ahmad Pesaranghader, et al. ∙

∙ 12/15/2020

Hypothesis Disparity Regularized Mutual Information Maximization

We propose a hypothesis disparity regularized mutual information maximiz...

7 Qicheng Lao, et al. ∙

∙ 12/08/2020

Conditional Generation of Medical Images via Disentangled Adversarial Inference

Synthetic medical image generation has a huge potential for improving he...

47 Mohammad Havaei, et al. ∙

∙ 06/09/2020

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

We present an approach for unsupervised domain adaptation—with a strong ...

1 Xiang Jiang, et al. ∙

∙ 05/12/2020

Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders

The latent variables learned by VAEs have seen considerable interest as ...

5 Saeid Asgari Taghanaki, et al. ∙

∙ 04/03/2020

DFNet: Discriminative feature extraction and integration network for salient object detection

Despite the powerful feature extraction capability of Convolutional Neur...

11 Mehrdad Noori, et al. ∙

∙ 03/09/2020

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay

Learning in non-stationary environments is one of the biggest challenges...

6 Qicheng Lao, et al. ∙

∙ 03/09/2020

FoCL: Feature-Oriented Continual Learning for Generative Models

In this paper, we propose a general framework in continual learning for ...

0 Qicheng Lao, et al. ∙

∙ 11/29/2019

CAGNet: Content-Aware Guidance for Salient Object Detection

Beneficial from Fully Convolutional Neural Networks (FCNs), saliency det...

8 Sina Mohammadi, et al. ∙

∙ 08/14/2019

Dual Adversarial Inference for Text-to-Image Synthesis

Synthesizing images from a given text description involves engaging two ...

8 Qicheng Lao, et al. ∙

∙ 03/28/2019

InfoMask: Masked Variational Latent Representation to Localize Chest Disease

The scarcity of richly annotated medical images is limiting supervised d...

24 Saeid Asgari Taghanaki, et al. ∙

∙ 06/03/2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Current deep learning based text classification methods are limited by t...

0 Xiang Jiang, et al. ∙

∙ 10/06/2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference

In this paper, we study two aspects of the variational autoencoder (VAE)...

0 Chin-Wei Huang, et al. ∙

∙ 07/18/2016

Deep learning trends for focal brain pathology segmentation in MRI

Segmentation of focal (localized) brain pathologies such as brain tumors...

0 Mohammad Havaei, et al. ∙

∙ 10/05/2015

Within-Brain Classification for Brain Tumor Segmentation

Purpose: In this paper, we investigate a framework for interactive brain...

0 Mohammad Havaei, et al. ∙

∙ 05/13/2015

Brain Tumor Segmentation with Deep Neural Networks

In this paper, we present a fully automatic brain tumor segmentation met...

0 Mohammad Havaei, et al. ∙

∙ 08/10/2012

Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer

This paper deals with the implementation of Least Mean Square (LMS) algo...

0 Mohammad Havaei, et al. ∙

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