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Md. Amirul Islam
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2020 – today
- 2025
- [j7]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 190-205 (2025) - 2024
- [j6]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. Int. J. Comput. Vis. 132(9): 3889-3910 (2024) - [c18]Md. Amirul Islam, Seyed Shahabeddin Nabavi, Irina Kezele, Yang Wang, Yuanhao Yu, Jin Tang:
Visually Guided Audio Source Separation with Meta Consistency Learning. WACV 2024: 3002-3011 - 2023
- [j5]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. Int. J. Comput. Vis. 131(3): 701-716 (2023) - [j4]Md. Amirul Islam, Ashraf Uddin, Sunil Aryal, Giovanni Stea:
An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes. J. Inf. Secur. Appl. 78: 103618 (2023) - 2022
- [j3]Md. Shafiur Rahman, Md. Amirul Islam, Md. Ashraf Uddin, Giovanni Stea:
A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges. Internet Things 19: 100551 (2022) - [c17]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Maximizing Mutual Shape Information. BMVC 2022: 909 - [c16]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR 2022: 13979-13989 - [i18]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR abs/2206.02846 (2022) - [i17]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR abs/2211.01783 (2022) - 2021
- [j2]Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce:
Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 204-219 (2021) - [c15]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC 2021: 54 - [c14]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV 2021: 773-781 - [c13]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR 2021 - [c12]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. ICRA 2021: 11746-11752 - [i16]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR abs/2101.11604 (2021) - [i15]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR abs/2101.12322 (2021) - [i14]Zabir Al Nazi, Fazla Rabbi Mashrur, Md. Amirul Islam, Shumit Saha:
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network. CoRR abs/2104.05889 (2021) - [i13]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR abs/2108.07884 (2021) - [i12]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. CoRR abs/2108.09929 (2021) - [i11]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR abs/2110.10335 (2021) - 2020
- [c11]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. BMVC 2020 - [c10]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How much Position Information Do Convolutional Neural Networks Encode? ICLR 2020 - [c9]Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Distributed Iterative Gating Networks for Semantic Segmentation. WACV 2020: 2833-2842 - [i10]Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How Much Position Information Do Convolutional Neural Networks Encode? CoRR abs/2001.08248 (2020) - [i9]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. CoRR abs/2008.05667 (2020) - [i8]Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. CoRR abs/2009.00743 (2020)
2010 – 2019
- 2019
- [c8]Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Recurrent Iterative Gating Networks for Semantic Segmentation. WACV 2019: 1070-1079 - [i7]Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Distributed Iterative Gating Networks for Semantic Segmentation. CoRR abs/1909.12996 (2019) - 2018
- [c7]Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. BMVC 2018: 246 - [c6]Rezaul Karim, Md. Amirul Islam, Noman Mohammed, Neil D. B. Bruce:
On the Robustness of Deep Learning Models to Universal Adversarial Attack. CRV 2018: 55-62 - [c5]Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. CVPR 2018: 7142-7150 - [c4]Md. Amirul Islam, Uzzal Kumar Acharjee:
Mining Periodic Patterns and Accuracy Calculation for Activity Monitoring Using RF Tag Arrays. IJCCI 2018: 85-95 - [i6]Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. CoRR abs/1803.05082 (2018) - [i5]Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. CoRR abs/1806.11266 (2018) - [i4]Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. CoRR abs/1807.09430 (2018) - [i3]Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce:
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks. CoRR abs/1810.02426 (2018) - [i2]Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Recurrent Iterative Gating Networks for Semantic Segmentation. CoRR abs/1811.08043 (2018) - 2017
- [c3]Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Salient Object Detection using a Context-Aware Refinement Network. BMVC 2017 - [c2]Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Dense Image Labeling. CVPR 2017: 4877-4885 - [i1]Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Label Refinement Network for Coarse-to-Fine Semantic Segmentation. CoRR abs/1703.00551 (2017) - 2016
- [c1]Md. Amirul Islam, Neil D. B. Bruce, Yang Wang:
Dense Image Labeling Using Deep Convolutional Neural Networks. CRV 2016: 16-23 - 2014
- [j1]Md. Rasheduzzaman, Md. Amirul Islam, Rashedur M. Rahman:
Workload Prediction on Google Cluster Trace. Int. J. Grid High Perform. Comput. 6(3): 34-52 (2014)
Coauthor Index
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last updated on 2025-01-09 13:08 CET by the dblp team
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