| Transformers in vision: A survey S Khan, M Naseer, M Hayat, SW Zamir, FS Khan, M Shah ACM Computing Surveys, 2021 | 4317 | 2021 |
| Intriguing Properties of Vision Transformers M Naseer, K Ranasinghe, S Khan, M Hayat, FS Khan, MH Yang Advances in Neural Information Processing Systems (NeurIPS--Spotlight), 2021 | 894 | 2021 |
| Foundational Models Defining a New Era in Vision: A Survey and Outlook M Awais, M Naseer, S Khan, RM Anwer, H Cholakkal, M Shah, MH Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 471 | 2024 |
| A self-supervised Approach for Adversarial Robustness M Naseer, S Khan, M Hayat, FS Khan, F Porikli Conference on Computer Vision and Pattern Recognition (CVPR--Oral), 2020 | 430 | 2020 |
| Self-regulating Prompts: Foundational Model Adaptation without Forgetting MU Khattak, ST Wasim, M Naseer, S Khan, MH Yang, FS Khan International Conference on Computer Vision (ICCV), 2023 | 386 | 2023 |
| Geochat: Grounded large vision-language model for remote sensing K Kuckreja, MS Danish, M Naseer, A Das, S Khan, FS Khan Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 352 | 2024 |
| Local Gradients Smoothing: Defense against localized adversarial attacks M Naseer, S Khan, F Porikli Winter Conference on Applications of Computer Vision (WACV), 2019 | 231 | 2019 |
| Cross-domain Transferability of Adversarial Perturbations M Naseer, SH Khan, H Khan, FS Khan, F Porikli Advances in Neural Information Processing Systems (NeurIPS), 2019 | 217 | 2019 |
| Indoor scene understanding in 2.5/3d for autonomous agents: A survey M Naseer, S Khan, F Porikli IEEE Access, 2018 | 166 | 2018 |
| Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting ST Wasim, M Naseer, S Khan, FS Khan, M Shah Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 154 | 2023 |
| Self-supervised Video Transformer K Ranasinghe, M Naseer, S Khan, FS Khan, M Ryoo Conference on Computer Vision and Pattern Recognition (CVPR--Oral), 2022 | 149 | 2022 |
| PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery S Zhang, S Khan, Z Shen, M Naseer, G Chen, F Khan Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 139 | 2023 |
| Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization JHA Samadh, H Gani, NH Hussein, MU Khattak, M Naseer, F Khan, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 137* | 2023 |
| On Improving Adversarial Transferability of Vision Transformers M Naseer, K Ranasinghe, S Khan, FS Khan, F Porikli International Conference on Learning Representations (ICLR--Spotlight), 2022 | 136 | 2022 |
| Orthogonal Projection Loss K Ranasinghe, M Naseer, M Hayat, S Khan, FS Khan International Conference on Computer Vision (ICCV), 2021 | 123 | 2021 |
| On Generating Transferable Targeted Perturbations M Naseer, S Khan, M Hayat, FS Khan, F Porikli International Conference on Computer Vision (ICCV), 2021 | 116 | 2021 |
| FLIP: Cross-domain Face Anti-spoofing with Language Guidance K Srivatsan, M Naseer, K Nandakumar International Conference on Computer Vision (ICCV), 2023 | 95 | 2023 |
| Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery M Noman, M Naseer, H Cholakkal, RM Anwar, S Khan, FS Khan Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 93 | 2024 |
| How to Train Vision Transformer on Small-scale Datasets? H Gani, M Naseer, M Yaqub British Machine Vision Conference (BMVC), 2022 | 90 | 2022 |
| Task-generalizable adversarial attack based on perceptual metric M Naseer, SH Khan, S Rahman, F Porikli arXiv preprint arXiv:1811.09020, 2018 | 74* | 2018 |
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
