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Muhammad Ferjad Naeem
Muhammad Ferjad Naeem
Doctoral Researcher, ETH Zürich
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Reliable Fidelity and Diversity Metrics for Generative Models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning (ICML), 2020
1152020
Learning Graph Embeddings for Compositional Zero-shot Learning
MF Naeem, Y Xian, F Tombari, Z Akata
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
582021
Open World Compositional Zero-Shot Learning
M Mancini*, MF Naeem*, Y Xian, Z Akata
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
442021
Data augmentation with manifold exploring geometric transformations for increased performance and robustness
M Paschali, W Simson, AG Roy, MF Naeem, R Göbl, C Wachinger, ...
International Conference on Information Processing in Medical Imaging (IPMI), 2019
182019
Learning graph embeddings for open world compositional zero-shot learning
M Mancini, MF Naeem, Y Xian, Z Akata
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
172022
A multi-faceted OCR framework for artificial Urdu news ticker text recognition
BU Tayyab, MF Naeem, A Ul-Hasan, F Shafait
International Workshop on Document Analysis Systems (DAS), 2018
132018
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks
M Paschali, MF Naeem, W Simson, K Steiger, M Mollenhauer, N Navab
Technical Report - arxiv, 2019
122019
Impact of ligature coverage on training practical urdu ocr systems
MF Naeem, NS Zia, AA Awan, F Shafait, A ul Hasan
International Conference on Document Analysis and Recognition (ICDAR), 2017
62017
3D Compositional Zero-shot Learning with DeCompositional Consensus
MF Naeem, EP Örnek, Y Xian, L Van Gool, F Tombari
European Conference on Computer Vision (ECCV), 2022
52022
A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition
N ul Sehr Zia, MF Naeem, SMK Raza, MM Khan, A Ul-Hasan, F Shafait
Neural Computing and Applications, 1-14, 2022
42022
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
MF Naeem, Y Xian, L Van Gool, F Tombari
Neural Information Processing Systems (NeurIPS), 2022
22022
Learning Attention Propagation for Compositional Zero-Shot Learning
MGZA Khan, MF Naeem, L Van Gool, A Pagani, D Stricker, MZ Afzal
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
12023
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
MF Naeem, MGZA Khan, Y Xian, MZ Afzal, D Stricker, L Van Gool, ...
arXiv preprint arXiv:2212.02291, 2022
2022
Supplementary Material For Learning Attention Propagation for Compositional Zero-Shot Learning
MGZA Khan, MF Naeem, L Van Gool, A Pagani, D Stricker, MZ Afzal
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Articles 1–14