Muhammad Ferjad Naeem | DeepAI

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Featured Co-authors

Luc Van Gool
414 publications
Nassir Navab
318 publications
Federico Tombari
130 publications
Zeynep Akata
103 publications
Didier Stricker
101 publications
Christian Wachinger
43 publications
Massimiliano Mancini
40 publications
Seong Joon Oh
39 publications
Abhijit Guha Roy
26 publications
Yongqin Xian
22 publications
Magdalini Paschali
19 publications

∙ 08/30/2023

Introducing Language Guidance in Prompt-based Continual Learning

Continual Learning aims to learn a single model on a sequence of tasks w...

0 Muhammad Gul Zain Ali Khan, et al. ∙

∙ 12/05/2022

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification

Recent works have shown that unstructured text (documents) from online s...

0 Muhammad Ferjad Naeem, et al. ∙

∙ 10/20/2022

Learning Attention Propagation for Compositional Zero-Shot Learning

Compositional zero-shot learning aims to recognize unseen compositions o...

0 Muhammad Gul Zain Ali Khan, et al. ∙

∙ 09/21/2022

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

Despite the tremendous progress in zero-shot learning(ZSL), the majority...

0 Muhammad Ferjad Naeem, et al. ∙

∙ 11/29/2021

3D Compositional Zero-shot Learning with DeCompositional Consensus

Parts represent a basic unit of geometric and semantic similarity across...

7 Muhammad Ferjad Naeem, et al. ∙

∙ 05/03/2021

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Compositional Zero-Shot learning (CZSL) aims to recognize unseen composi...

17 Massimiliano Mancini, et al. ∙

∙ 02/03/2021

Learning Graph Embeddings for Compositional Zero-shot Learning

In compositional zero-shot learning, the goal is to recognize unseen com...

14 Muhammad Ferjad Naeem, et al. ∙

∙ 01/29/2021

Open World Compositional Zero-Shot Learning

Compositional Zero-Shot learning (CZSL) requires to recognize state-obje...

1 Massimiliano Mancini, et al. ∙

∙ 02/23/2020

Reliable Fidelity and Diversity Metrics for Generative Models

Devising indicative evaluation metrics for the image generation task rem...

23 Muhammad Ferjad Naeem, et al. ∙

∙ 04/05/2019

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks

In this paper, we propose a novel interpretation method tailored to hist...

0 Magdalini Paschali, et al. ∙

∙ 01/14/2019

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness

In this paper we propose a novel augmentation technique that improves no...

0 Magdalini Paschali, et al. ∙

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