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ORCIDMuhammad Ferjad Naeem
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2020 – today
- 2024
[b1]Muhammad Ferjad Naeem:
Towards Open-Set Computer Vision with Language Guidance. ETH Zurich, Zürich, Switzerland, 2024- [j3]Muhammad Ferjad Naeem
, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. 132(9): 3806-3822 (2024) - [j2]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1545-1560 (2024) - [c13]Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-distillation. ECCV (21) 2024: 38-55 - [c12]Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang:
GiT: Towards Generalist Vision Transformer Through Universal Language Interface. ECCV (29) 2024: 55-73 - [c11]Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. ECCV (39) 2024: 257-275 - [i20]Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. CoRR abs/2401.02418 (2024) - [i19]Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal:
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. CoRR abs/2403.06904 (2024) - [i18]Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang:
GiT: Towards Generalist Vision Transformer through Universal Language Interface. CoRR abs/2403.09394 (2024) - [i17]Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Jameel Hassan, Muzammal Naseer, Federico Tombari, Fahad Shahbaz Khan, Salman H. Khan:
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs. CoRR abs/2405.03690 (2024) - [i16]Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari:
Toward a Diffusion-Based Generalist for Dense Vision Tasks. CoRR abs/2407.00503 (2024) - [i15]Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele:
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. CoRR abs/2410.23168 (2024) - [i14]Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff:
Active Data Curation Effectively Distills Large-Scale Multimodal Models. CoRR abs/2411.18674 (2024) - 2023
- [c10]Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR 2023: 15169-15179 - [c9]Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. ICCV 2023: 11429-11439 - [c8]Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV 2023: 3817-3826 - [i13]Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. CoRR abs/2308.15827 (2023) - [i12]Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR abs/2310.13355 (2023) - [i11]Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. CoRR abs/2311.16241 (2023) - 2022
- [j1]Noor ul Sehr Zia, Muhammad Ferjad Naeem, Syed Muhammad Kumail Raza, Muhammad Mubasher Khan, Adnan Ul-Hasan, Faisal Shafait:
A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition. Neural Comput. Appl. 34(2): 1635-1648 (2022) - [c7]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) 2022: 713-730 - [c6]Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS 2022 - [i10]Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR abs/2209.10304 (2022) - [i9]Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. CoRR abs/2210.11557 (2022) - [i8]Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR abs/2212.02291 (2022) - 2021
- [c5]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR 2021: 953-962 - [c4]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CVPR 2021: 5222-5230 - [i7]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CoRR abs/2101.12609 (2021) - [i6]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR abs/2102.01987 (2021) - [i5]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR abs/2105.01017 (2021) - [i4]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR abs/2111.14673 (2021) - 2020
- [c3]Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo:
Reliable Fidelity and Diversity Metrics for Generative Models. ICML 2020: 7176-7185 - [i3]Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo:
Reliable Fidelity and Diversity Metrics for Generative Models. CoRR abs/2002.09797 (2020)
2010 – 2019
- 2019
- [i2]Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab:
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR abs/1901.04420 (2019) - [i1]Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab:
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. CoRR abs/1904.03127 (2019) - 2018
- [c2]Sami Ur Rehman, Burhan Ul Tayyab, Muhammad Ferjad Naeem, Adnan Ul-Hasan, Faisal Shafait:
A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition. DAS 2018: 211-216 - 2017
- [c1]Muhammad Ferjad Naeem, Noor ul Sehr Zia, Aqsa Ahmed Awan, Faisal Shafait, Adnan Ul-Hasan:
Impact of Ligature Coverage on Training Practical Urdu OCR Systems. ICDAR 2017: 131-136
Coauthor Index
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