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ORCIDMuzammal Naseer
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2020 – today
- 2023
[i19]Muzammal Naseer, Ahmad Mahmood, Salman H. Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. CoRR abs/2302.12252 (2023)- 2022
- [j2]Salman H. Khan
, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. ACM Comput. Surv. 54(10s): 200:1-200:41 (2022) - [c12]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Self-distilled Vision Transformer for Domain Generalization. ACCV (2) 2022: 273-290 - [c11]Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. BMVC 2022: 546 - [c10]Hanan Gani, Muzammal Naseer, Mohammad Yaqub:
How to Train Vision Transformer on Small-scale Datasets? BMVC 2022: 731 - [c9]Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874 - [c8]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022 - [i18]Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. CoRR abs/2207.08803 (2022) - [i17]Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022) - [i16]Hanan Gani, Muzammal Naseer, Mohammad Yaqub:
How to Train Vision Transformer on Small-scale Datasets? CoRR abs/2210.07240 (2022) - [i15]Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022) - [i14]Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022) - 2021
- [c7]Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152 - [c6]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. ICCV 2021: 7688-7697 - [c5]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. ICCV 2021: 12313-12323 - [c4]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. NeurIPS 2021: 23296-23308 - [i13]Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. CoRR abs/2101.01169 (2021) - [i12]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. CoRR abs/2103.14021 (2021) - [i11]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. CoRR abs/2103.14641 (2021) - [i10]Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. CoRR abs/2104.12709 (2021) - [i9]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021) - [i8]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021) - [i7]Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021) - 2020
- [c3]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CVPR 2020: 259-268 - [i6]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CoRR abs/2006.04924 (2020) - [i5]Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. CoRR abs/2007.14672 (2020)
2010 – 2019
- 2019
- [j1]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey. IEEE Access 7: 1859-1887 (2019) - [c2]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895 - [c1]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. WACV 2019: 1300-1307 - [i4]Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. CoRR abs/1905.11736 (2019) - 2018
- [i3]Muzammal Naseer, Salman Hameed Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D: A Survey. CoRR abs/1803.03352 (2018) - [i2]Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense against localized adversarial attacks. CoRR abs/1807.01216 (2018) - [i1]Muzammal Naseer, Salman Hameed Khan, Shafin Rahman, Fatih Porikli:
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. CoRR abs/1811.09020 (2018)
Coauthor Index
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last updated on 2023-03-01 22:55 CET by the dblp team
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