Md Amirul Islam | DeepAI

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Richard P. Wildes
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Shubhra Aich
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∙ 11/03/2022

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks

There is limited understanding of the information captured by deep spati...

10 Matthew Kowal, et al. ∙

∙ 06/06/2022

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information

Deep spatiotemporal models are used in a variety of computer vision task...

21 Matthew Kowal, et al. ∙

∙ 10/20/2021

Simpler Does It: Generating Semantic Labels with Objectness Guidance

Existing weakly or semi-supervised semantic segmentation methods utilize...

14 Md Amirul Islam, et al. ∙

∙ 08/23/2021

SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness

In this paper, we present a strategy for training convolutional neural n...

19 Md Amirul Islam, et al. ∙

∙ 08/17/2021

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs

In this paper, we challenge the common assumption that collapsing the sp...

28 Md Amirul Islam, et al. ∙

∙ 04/13/2021

Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung d...

16 Zabir Al Nazi, et al. ∙

∙ 01/28/2021

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs

In contrast to fully connected networks, Convolutional Neural Networks (...

39 Md Amirul Islam, et al. ∙

∙ 01/27/2021

Shape or Texture: Understanding Discriminative Features in CNNs

Contrasting the previous evidence that neurons in the later layers of a ...

16 Md Amirul Islam, et al. ∙

∙ 09/01/2020

Bidirectional Attention Network for Monocular Depth Estimation

In this paper, we propose a Bidirectional Attention Network (BANet), an ...

12 Shubhra Aich, et al. ∙

∙ 08/13/2020

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness

In this paper, we present a strategy for training convolutional neural n...

4 Md Amirul Islam, et al. ∙

∙ 01/22/2020

How Much Position Information Do Convolutional Neural Networks Encode?

In contrast to fully connected networks, Convolutional Neural Networks (...

15 Md Amirul Islam, et al. ∙

∙ 09/28/2019

Distributed Iterative Gating Networks for Semantic Segmentation

In this paper, we present a canonical structure for controlling informat...

16 Rezaul Karim, et al. ∙

∙ 11/20/2018

Recurrent Iterative Gating Networks for Semantic Segmentation

In this paper, we present an approach for Recurrent Iterative Gating cal...

0 Rezaul Karim, et al. ∙

∙ 10/03/2018

Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks

Salient object detection is a problem that has been considered in detail...

0 Mahmoud Kalash, et al. ∙

∙ 07/25/2018

Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction

Much research has examined models for prediction of semantic labels or i...

4 Md Amirul Islam, et al. ∙

∙ 06/29/2018

Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling

Effective integration of local and global contextual information is cruc...

2 Md Amirul Islam, et al. ∙

∙ 03/14/2018

Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects

Salient object detection is a problem that has been considered in detail...

0 Md Amirul Islam, et al. ∙

∙ 03/01/2017

Label Refinement Network for Coarse-to-Fine Semantic Segmentation

We consider the problem of semantic image segmentation using deep convol...

0 Md Amirul Islam, et al. ∙

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