14 citations · 29 across the 24 of their papers we have counts for
5 papers · 1 filter
GeoChat: Grounded Large Vision-Language Model for Remote Sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer +3
Recent advancements in Large Vision-Language Models (VLMs) have shown great promise in natural image domains, allowing users to hold a dialogue about given visual content. However,…
Enhancing Novel Object Detection via Cooperative Foundational Models
Rohit Bharadwaj, Muzammal Naseer, Salman Khan +1
In this work, we address the challenging and emergent problem of novel object detection (NOD), focusing on the accurate detection of both known and novel object categories during i…
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…
Videoprompter: an ensemble of foundational models for zero-shot video understanding
Adeel Yousaf, Muzammal Naseer, Salman Khan +2
Vision-language models (VLMs) classify the query video by calculating a similarity score between the visual features and text-based class label representations. Recently, large lan…
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer +2
Diffusion-based generative models have significantly advanced text-to-image generation but encounter challenges when processing lengthy and intricate text prompts describing comple…