Muhammad Ferjad Naeem

Orcid: 0000-0001-7455-7280

According to our database1, Muhammad Ferjad Naeem authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

GiT: Towards Generalist Vision Transformer through Universal Language Interface.
CoRR, 2024

FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks.
CoRR, 2024

Learning to Prompt with Text Only Supervision for Vision-Language Models.
CoRR, 2024

2023
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance.
CoRR, 2023

SILC: Improving Vision Language Pretraining with Self-Distillation.
CoRR, 2023

Learning Attention Propagation for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Introducing Language Guidance in Prompt-based Continual Learning.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition.
Neural Comput. Appl., 2022

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Graph Embeddings for Compositional Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open World Compositional Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Reliable Fidelity and Diversity Metrics for Generative Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks.
CoRR, 2019

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness.
CoRR, 2019

2018
A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017
Impact of Ligature Coverage on Training Practical Urdu OCR Systems.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017


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