activity
20232026
most citedAlign Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors

Jameel Hassan, Yasiru Ranasinghe, Vishal Patel

3D Gaussian Splatting (3DGS) has emerged at the forefront of 3D scene reconstruction. Extending 3DGS with language-driven, open-vocabulary understanding has gained significant atte…

cs.CV2024

CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections

Mohamed Fazli Imam, Rufael Fedaku Marew, Jameel Hassan +3

In the era of foundation models, CLIP has emerged as a powerful tool for aligning text & visual modalities into a common embedding space. However, the alignment objective used to t…

cs.CV2024

How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs

Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Jameel Hassan +4

Recent advancements in Large Language Models (LLMs) have led to the development of Video Large Multi-modal Models (Video-LMMs) that can handle a wide range of video understanding t…

cs.CV2023★ 14 cited

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

Jameel Hassan, Hanan Gani, Noor Hussein +4

The promising zero-shot generalization of vision-language models such as CLIP has led to their adoption using prompt learning for numerous downstream tasks. Previous works have sho…

cs.CV2023★ 1 cited

Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification

Salwa Al Khatib, Mohamed El Amine Boudjoghra, Jameel Hassan

Intra-class variations in the open world lead to various challenges in classification tasks. To overcome these challenges, fine-grained classification was introduced, and many appr…