Muhammad Ferjad Naeem

According to our database, Muhammad Ferjad Naeem authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 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., March, 2024

Toward a Diffusion-Based Generalist for Dense Vision Tasks.

Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari

CoRR, 2024

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 H. Khan

CoRR, 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

Learning to Prompt with Text Only Supervision for Vision-Language Models.

Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari

CoRR, 2024

GiT: Towards Generalist Vision Transformer Through Universal Language Interface.

Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

SILC: Improving Vision Language Pretraining with Self-distillation.

Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2024, 2024

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance.

Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification.

Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D Compositional Zero-Shot Learning with DeCompositional Consensus.

Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Graph Embeddings for Compositional Zero-Shot Learning.

Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Reliable Fidelity and Diversity Metrics for Generative Models.

Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo

Proceedings of the 37th International Conference on Machine Learning, 2020

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

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

2018

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

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

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

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017