Indoor Scene Understanding in 2.5/3D: A Survey. - Muzammal Naseer; Salman Hameed Khan; Fatih Porikli (CoRR, 2018)

Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. - Muzammal Naseer; Salman Hameed Khan; Shafin Rahman; Fatih Porikli (CoRR, 2018)

Cross-Domain Transferability of Adversarial Perturbations. - Muzammal Naseer; Salman H. Khan 001; Muhammad Haris Khan; Fahad Shahbaz Khan; Fatih Porikli (NeurIPS, 2019)

Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli (WACV, 2019)

Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli (IEEE Access, 2019)

A Self-supervised Approach for Adversarial Robustness. - Muzammal Naseer; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (CVPR, 2020)

Rich Semantics Improve Few-Shot Learning. - Mohamed Afham; Salman Khan 001; Muhammad Haris Khan; Muzammal Naseer; Fahad Shahbaz Khan (BMVC, 2021)

On Generating Transferable Targeted Perturbations. - Muzammal Naseer; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (ICCV, 2021)

Orthogonal Projection Loss. - Kanchana Ranasinghe; Muzammal Naseer; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan (ICCV, 2021)

Intriguing Properties of Vision Transformers. - Muzammal Naseer; Kanchana Ranasinghe; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (NeurIPS, 2021)

Self-distilled Vision Transformer for Domain Generalization. - Maryam Sultana; Muzammal Naseer; Muhammad Haris Khan; Salman H. Khan 001; Fahad Shahbaz Khan (ACCV (2), 2022)

How to Train Vision Transformer on Small-scale Datasets? - Hanan Gani; Muzammal Naseer; Mohammad Yaqub (BMVC, 2022)

Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. - Hashmat Shadab Malik; Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2022)

Self-supervised Video Transformer. - Kanchana Ranasinghe; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan; Michael S. Ryoo (CVPR, 2022)

On Improving Adversarial Transferability of Vision Transformers. - Muzammal Naseer; Kanchana Ranasinghe; Salman Khan 001; Fahad Shahbaz Khan; Fatih Porikli (ICLR, 2022)

Guidance Through Surrogate: Towards a Generic Diagnostic Attack. - Muzammal Naseer; Salman Khan 001; Fatih Porikli; Fahad Shahbaz Khan (CoRR, 2022)

Transformers in Vision: A Survey. - Salman H. Khan 001; Muzammal Naseer; Munawar Hayat; Syed Waqas Zamir; Fahad Shahbaz Khan; Mubarak Shah (ACM Comput. Surv., 2022)

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CVPR, 2023)

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. - Syed Talal Wasim; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2023)

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. - Sheng Zhang; Salman H. Khan 001; Zhiqiang Shen; Muzammal Naseer; Guangyi Chen 002; Fahad Shahbaz Khan (CVPR, 2023)

Self-regulating Prompts: Foundational Model Adaptation without Forgetting. - Muhammad Uzair Khattak; Syed Talal Wasim; Muzammal Naseer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (ICCV, 2023)

FLIP: Cross-domain Face Anti-spoofing with Language Guidance. - Koushik Srivatsan; Muzammal Naseer; Karthik Nandakumar (ICCV, 2023)

Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. - Syed Talal Wasim; Muhammad Uzair Khattak; Muzammal Naseer; Salman Khan 001; Mubarak Shah; Fahad Shahbaz Khan (ICCV, 2023)

Boosting Adversarial Transferability using Dynamic Cues. - Muzammal Naseer; Ahmad Mahmood; Salman Khan 001; Fahad Shahbaz Khan (ICLR, 2023)

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. - Asif Hanif; Muzammal Naseer; Salman H. Khan 001; Mubarak Shah; Fahad Shahbaz Khan (MICCAI (2), 2023)

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. - Jameel Abdul Samadh; Hanan Gani; Noor Hussein; Muhammad Uzair Khattak; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (NeurIPS, 2023)

Foundational Models Defining a New Era in Vision: A Survey and Outlook. - Muhammad Awais; Muzammal Naseer; Salman H. Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CoRR, 2023)

Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. - Sheng Zhang; Muzammal Naseer; Guangyi Chen 002; Zhiqiang Shen; Salman H. Khan 001; Kun Zhang 001; Fahad Shahbaz Khan (CoRR, 2023)

Videoprompter: an ensemble of foundational models for zero-shot video understanding. - Adeel Yousaf; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2023)

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. - Jameel Hassan; Hanan Gani; Noor Hussein; Muhammad Uzair Khattak; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2023)

Stylized Adversarial Defense. - Muzammal Naseer; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. - Sheng Zhang; Muzammal Naseer; Guangyi Chen 002; Zhiqiang Shen; Salman H. Khan 001; Kun Zhang 001; Fahad Khan 001 (AAAI, 2024)

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes. - Hashmat Shadab Malik; Muhammad Huzaifa; Muzammal Naseer; Salman Khan 001; Fahad Khan 001 (ACCV (5), 2024)

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. - Hashmat Shadab Malik; Numan Saeed; Asif Hanif; Muzammal Naseer; Mohammad Yaqub; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2024)

Cross-Modal Self-Training: Aligning Images and Pointclouds to learn Classification without Labels. - Amaya Dharmasiri; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CVPR Workshops, 2024)

GeoChat: Grounded Large Vision-Language Model for Remote Sensing. - Kartik Kuckreja; Muhammad Sohail Danish; Muzammal Naseer; Abhijit Das; Salman Khan 001; Fahad Shahbaz Khan (CVPR, 2024)

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. - Mubashir Noman; Muzammal Naseer; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2024)

Composed Video Retrieval via Enriched Context and Discriminative Embeddings. - Omkar Thawakar; Muzammal Naseer; Rao Muhammad Anwer; Salman H. Khan 001; Michael Felsberg; Mubarak Shah; Fahad Shahbaz Khan (CVPR, 2024)

VideoGrounding-DINO: Towards Open-Vocabulary Spatio- Temporal Video Grounding. - Syed Talal Wasim; Muzammal Naseer; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CVPR, 2024)

Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (ECCV Workshops (22), 2024)

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts. - Hanan Gani; Shariq Farooq Bhat; Muzammal Naseer; Salman Khan 001; Peter Wonka (ICLR, 2024)

Language Guided Domain Generalized Medical Image Segmentation. - Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (ISBI, 2024)

Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. - Naif Alkhunaizi; Faris Almalik; Rouqaiah Al-Refai; Muzammal Naseer; Karthik Nandakumar (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. - Hanan Gani; Muzammal Naseer; Fahad Khan 001; Salman H. Khan 001 (MICCAI (12), 2024)

BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. - Asif Hanif; Fahad Shamshad; Muhammad Awais; Muzammal Naseer; Fahad Shahbaz Khan; Karthik Nandakumar; Salman H. Khan 001; Rao Muhammad Anwer (MICCAI (12), 2024)

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. - Noor Hussein; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (MICCAI (12), 2024)

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. - Hasindri Watawana; Kanchana Ranasinghe; Tariq Mahmood; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (MICCAI (4), 2024)

Learnable weight initialization for volumetric medical image segmentation. - Shahina K. Kunhimon; Abdelrahman M. Shaker; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (Artif. Intell. Medicine, 2024)

Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. - Syed Talal Wasim; Muzammal Naseer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CoRR, 2024)

VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding. - Ahmad Mahmood; Ashmal Vayani; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Multi-modal Generation via Cross-Modal In-Context Learning. - Amandeep Kumar; Muzammal Naseer; Sanath Narayan; Rao Muhammad Anwer; Salman Khan 001; Hisham Cholakkal (CoRR, 2024)

Multi-Granularity Language-Guided Multi-Object Tracking. - Yuhao Li; Muzammal Naseer; Jiale Cao; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 001; Fahad Shahbaz Khan (CoRR, 2024)

STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CoRR, 2024)

Distillation-free Scaling of Large SSMs for Images and Videos. - Hamid Suleman; Syed Talal Wasim; Muzammal Naseer; Juergen Gall (CoRR, 2024)

CDChat: A Large Multimodal Model for Remote Sensing Change Description. - Mubashir Noman; Noor Ahsan; Muzammal Naseer; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. - Muhammad Hamza Sharif; Muzammal Naseer; Mohammad Yaqub; Min Xu 009; Mohsen Guizani (CoRR, 2024)

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities. - Muhammad Uzair Khattak; Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Guidance Through Surrogate: Toward a Generic Diagnostic Attack. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli; Fahad Shahbaz Khan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning to Prompt with Text Only Supervision for Vision-Language Models. - Muhammad Uzair Khattak; Muhammad Ferjad Naeem; Muzammal Naseer; Luc Van Gool; Federico Tombari (AAAI, 2025)

AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. - Umair Nawaz; Muhammad Awais; Hanan Gani; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001; Rao Muhammad Anwer (COLING, 2025)

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. - Maregu Assefa; Muzammal Naseer; Iyyakutti Iyappan Ganapathi; Syed Sadaf Ali; Mohamed L. Seghier; Naoufel Werghi (CVPR, 2025)

How Good is my Video-LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs. - Muhammad Uzair Khattak; Muhammad Ferjad Naeem; Jameel Hassan; Muzammal Naseer; Federico Tombari; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

Towards Evaluating the Robustness of Visual State Space Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Vishal M. Patel; Karthik Nandakumar (CVPR, 2025)

STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection. - Divya Velayudhan; Abdelfatah Hassan Ahmed; Mohamad Alansari; Neha Gour; Abderaouf Behouch; Taimur Hassan; Syed Talal Wasim; Nabil Maalej; Muzammal Naseer; Juergen Gall; Mohammed Bennamoun; Ernesto Damiani; et al. (CVPR, 2025)

Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models. - Jinhui Yi; Syed Talal Wasim; Yanan Luo; Muzammal Naseer; Juergen Gall (CVPR, 2025)

On Frequency Domain Adversarial Vulnerabilities of Volumetric Medical Image Segmentation. - Asif Hanif; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (ISBI, 2025)

VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs. - Hanan Gani; Rohit Bharadwaj 001; Muzammal Naseer; Fahad Shahbaz Khan; Salman Khan 001 (NAACL (Findings), 2025)

Enhancing Novel Object Detection via Cooperative Foundational Models. - Rohit K. Bharadwaj 001; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (WACV, 2025)

CLDTracker: A Comprehensive Language Description for visual Tracking. - Mohamad Alansari; Sajid Javed; Iyyakutti Iyappan Ganapathi; Sara Alansari; Muzammal Naseer (Inf. Fusion, 2025)

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation. - Ulindu De Silva; Didula Samaraweera; Sasini Wanigathunga; Kavindu Kariyawasam; Kanchana Ranasinghe; Muzammal Naseer; Ranga Rodrigo (CoRR, 2025)

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Khan 001; Salman Khan 001 (CoRR, 2025)

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology. - Hashmat Shadab Malik; Shahina K. Kunhimon; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark. - Roba Al Majzoub; Hashmat Shadab Malik; Muzammal Naseer; Zaigham Zaheer; Tariq Mahmood; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Foundation Models Defining a New Era in Vision: A Survey and Outlook. - Muhammad Awais; Muzammal Naseer; Salman Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)