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Shakeeb Murtaza
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2020 – today
- 2024
- [c6]Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. ANNPR 2024: 195-207 - [i10]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger:
Realistic Model Selection for Weakly Supervised Object Localization. CoRR abs/2404.10034 (2024) - [i9]Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger:
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology. CoRR abs/2404.19113 (2024) - [i8]Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger:
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution. CoRR abs/2406.09168 (2024) - [i7]Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. CoRR abs/2407.06018 (2024) - 2023
- [j3]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization. Image Vis. Comput. 140: 104838 (2023) - [c5]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. WACV (Workshops) 2023: 1-11 - [i6]Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza:
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks. CoRR abs/2301.08939 (2023) - [i5]Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR abs/2303.09044 (2023) - [i4]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR abs/2310.06196 (2023) - 2022
- [j2]Tehseen Zia, Nauman Bashir, Mirza Ahsan Ullah, Shakeeb Murtaza:
SoFTNet: A concept-controlled deep learning architecture for interpretable image classification. Knowl. Based Syst. 240: 108066 (2022) - [j1]Tehseen Zia, Shakeeb Murtaza, Nauman Bashir, David Windridge, Zeeshan Nisar:
VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging. Pattern Recognit. Lett. 156: 112-118 (2022) - [i3]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization. CoRR abs/2209.09195 (2022) - [i2]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR abs/2209.09209 (2022) - 2021
- [c4]Zahid Iqbal, Shakeeb Murtaza, Huah Yong Chan, Muhammad Rizwan Ghori, Naveed Ahmed, Hamid Ayub:
Handling Illusive Text in Document to Improve Accuracy of Plagiarism Detection Algorithm. RoViSP 2021: 52-58 - 2020
- [i1]Tehseen Zia, Shahan Arif, Shakeeb Murtaza, Mirza Ahsan Ullah:
Text-to-Image Generation with Attention Based Recurrent Neural Networks. CoRR abs/2001.06658 (2020)
2010 – 2019
- 2018
- [c3]Shakeeb Murtaza, Nadeem Javaid, Muhammad KaleemUllah Khan, Farkhanda Zafar, Rameez Iqbal, Muhammad Abubaker Hamid:
Efficient Energy Management Assisted by Fog Computing. BWCCA 2018: 418-430 - [c2]Farkhanda Zafar, Nadeem Javaid, Kanza Hassan, Shakeeb Murtaza, Saniah Rehman, Sadia Rasheed:
Resource Allocation over Cloud-Fog Framework Using BA. NBiS 2018: 222-233 - [c1]Muhammad KaleemUllah Khan, Nadeem Javaid, Shakeeb Murtaza, Maheen Zahid, Wajahat Ali Gilani, Muhammad Junaid Ali:
Efficient Energy Management Using Fog Computing. NBiS 2018: 286-299
Coauthor Index
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last updated on 2024-10-04 19:58 CEST by the dblp team
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