Impact of Ligature Coverage on Training Practical Urdu OCR Systems. - Muhammad Ferjad Naeem; Noor ul Sehr Zia; Aqsa Ahmed Awan; Faisal Shafait; Adnan Ul-Hasan (ICDAR, 2017)

A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition. - Sami Ur Rehman; Burhan Ul Tayyab; Muhammad Ferjad Naeem; Adnan Ul-Hasan; Faisal Shafait (DAS, 2018)

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. - Magdalini Paschali; Walter Simson; Abhijit Guha Roy; Muhammad Ferjad Naeem; Rüdiger Göbl; Christian Wachinger; Nassir Navab (CoRR, 2019)

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. - Magdalini Paschali; Muhammad Ferjad Naeem; Walter Simson; Katja Steiger; Martin Mollenhauer; Nassir Navab (CoRR, 2019)

Reliable Fidelity and Diversity Metrics for Generative Models. - Muhammad Ferjad Naeem; Seong Joon Oh; Youngjung Uh; Yunjey Choi; Jaejun Yoo 001 (ICML, 2020)

Open World Compositional Zero-Shot Learning. - Massimiliano Mancini; Muhammad Ferjad Naeem; Yongqin Xian; Zeynep Akata (CVPR, 2021)

Learning Graph Embeddings for Compositional Zero-Shot Learning. - Muhammad Ferjad Naeem; Yongqin Xian; Federico Tombari; Zeynep Akata (CVPR, 2021)

3D Compositional Zero-Shot Learning with DeCompositional Consensus. - Muhammad Ferjad Naeem; Evin Pinar Örnek; Yongqin Xian; Luc Van Gool; Federico Tombari (ECCV (28), 2022)

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Yongqin Xian; Luc Van Gool; Federico Tombari (NeurIPS, 2022)

A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition. - Noor ul Sehr Zia; Muhammad Ferjad Naeem; Syed Muhammad Kumail Raza; Muhammad Mubasher Khan; Adnan Ul-Hasan; Faisal Shafait (Neural Comput. Appl., 2022)

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Muhammad Gul Zain Ali Khan; Yongqin Xian; Muhammad Zeshan Afzal; Didier Stricker; Luc Van Gool; Federico Tombari (CVPR, 2023)

Introducing Language Guidance in Prompt-based Continual Learning. - Muhammad Gul Zain Ali Khan; Muhammad Ferjad Naeem; Luc Van Gool; Didier Stricker; Federico Tombari; Muhammad Zeshan Afzal (ICCV, 2023)

Learning Attention Propagation for Compositional Zero-Shot Learning. - Muhammad Gul Zain Ali Khan; Muhammad Ferjad Naeem; Luc Van Gool; Alain Pagani; Didier Stricker; Muhammad Zeshan Afzal (WACV, 2023)

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. - Lukas Hoyer; David Joseph Tan; Muhammad Ferjad Naeem; Luc Van Gool; Federico Tombari (ECCV (39), 2024)

SILC: Improving Vision Language Pretraining with Self-distillation. - Muhammad Ferjad Naeem; Yongqin Xian; Xiaohua Zhai; Lukas Hoyer; Luc Van Gool; Federico Tombari (ECCV (21), 2024)

GiT: Towards Generalist Vision Transformer Through Universal Language Interface. - Haiyang Wang; Hao Tang; Li Jiang 009; Shaoshuai Shi; Muhammad Ferjad Naeem; Hongsheng Li 001; Bernt Schiele; Liwei Wang 001 (ECCV (29), 2024)

FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. - Muhammad Saif Ullah Khan; Muhammad Ferjad Naeem; Federico Tombari; Luc Van Gool; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Toward a Diffusion-Based Generalist for Dense Vision Tasks. - Yue Fan; Yongqin Xian; Xiaohua Zhai; Alexander Kolesnikov 003; Muhammad Ferjad Naeem; Bernt Schiele; Federico Tombari (CoRR, 2024)

Towards Open-Set Computer Vision with Language Guidance. - Muhammad Ferjad Naeem (2024)

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. - Massimiliano Mancini; Muhammad Ferjad Naeem; Yongqin Xian; Zeynep Akata (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Yongqin Xian; Luc Van Gool; Federico Tombari (Int. J. Comput. Vis., 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)

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)

Active Data Curation Effectively Distills Large-Scale Multimodal Models. - Vishaal Udandarao; Nikhil Parthasarathy; Muhammad Ferjad Naeem; Talfan Evans; Samuel Albanie; Federico Tombari; Yongqin Xian; Alessio Tonioni; Olivier J. Hénaff (CVPR, 2025)

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. - Haiyang Wang; Yue Fan; Muhammad Ferjad Naeem; Yongqin Xian; Jan Eric Lenssen; Liwei Wang 001; Federico Tombari; Bernt Schiele (ICLR, 2025)

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. - Michael Tschannen; Alexey A. Gritsenko; Xiao Wang 038; Muhammad Ferjad Naeem; Ibrahim Alabdulmohsin; Nikhil Parthasarathy; Talfan Evans; Lucas Beyer; Ye Xia; Basil Mustafa; Olivier J. Hénaff; Jeremiah Harmsen; et al. (CoRR, 2025)

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs. - Selim Kuzucu; Muhammad Ferjad Naeem; Anna Kukleva; Federico Tombari; Bernt Schiele (CoRR, 2025)