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Muhammad Ferjad Naeem
Muhammad Ferjad Naeem
Research Scientist, Google
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4072020
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
1942021
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
1612021
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
922022
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, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
712023
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
56*2019
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
532022
Introducing Language Guidance in Prompt-based Continual Learning
MGZA Khan, MF Naeem, L Van Gool, D Stricker, F Tombari, MZ Afzal
IEEE International Conference on Computer Vision (ICCV), 2023
512023
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
252023
SILC: Improving vision language pretraining with self-distillation
MF Naeem, Y Xian, X Zhai, L Hoyer, L Van Gool, F Tombari
European Conference on Computer Vision (ECCV), 2024
242024
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
212019
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
L Hoyer, DJ Tan, MF Naeem, L Van Gool, F Tombari
European Conference on Computer Vision (ECCV), 2024
172024
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, 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
162018
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
152022
Learning to Prompt with Text Only Supervision for Vision-Language Models
MU Khattak, MF Naeem, M Naseer, L Van Gool, F Tombari
Association for the Advancement of Artificial Intelligence (AAAI), 2025
112025
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
92017
GiT: Towards Generalist Vision Transformer through Universal Language Interface
H Wang, H Tang, L Jiang, S Shi, MF Naeem, H Li, B Schiele, L Wang
European Conference on Computer Vision (ECCV), 2024
82024
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs
MU Khattak, MF Naeem, J Hassan, M Naseer, F Tombari, FS Khan, ...
arXiv preprint arXiv:2405.03690, 2024
52024
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
M Tschannen*, A Gritsenko*, X Wang*, MF Naeem*, I Alabdulmohsin*, ...
DeepMind Tech report., 2025
32025
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