hanoonaR - Overview

Hi there 👋

I am a Ph.D. student in Computer Vision at MBZUAI. My current area of research is focused on exploring the potential of multi-modal understanding from vision and language to build scalable general-purpose vision systems, that continually learn and can generalize to various domains and downstream tasks using an open-vocabulary.

🔭 I’m currently working on Multi-Modal Transformers in Computer Vision Applications.
🌍 Visit my webpage: hanoonarasheed.com
🏛 Part of IVAL Lab
📫 How to reach me: hanoona.bangalath@mbzuai.ac.ae

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[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

Python 945 53
🔥🔥 LLaVA++: Extending LLaVA with Phi-3 and LLaMA-3 (LLaVA LLaMA-3, LLaVA Phi-3)

Python 848 61
[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted fo…

Python 1.5k 127
[NeurIPS 2022] Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".

Jupyter Notebook 297 21
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

Python 808 67
[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".

Python 304 24