activity
20212026
most citedGeoChat: Grounded Large Vision-Language Model for Remote Sensing

6 citations · 7 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend

Satej S. Soman, Akram Zaytar, Girmaw A. Tadesse +5

Applying deep learning models to satellite imagery from within geographic information systems (GIS) remains high-friction for remote sensing practitioners. Models arrive in incompa…

cs.CV2025★ 1 cited

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation

Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah +5

Modern Earth observation (EO) increasingly leverages deep learning to harness the scale and diversity of satellite imagery across sensors and regions. While recent foundation model…

cs.CV2024

EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues

Sagar Soni, Akshay Dudhane, Hiyam Debary +8

Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and {r…

cs.CV2024

GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks

Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah +5

While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they do not effectively address the specific challenges of geospatial applications. Gene…

cs.CV2024

Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment

Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir +2

In this work, we tackle the problem of domain generalization for object detection, specifically focusing on the scenario where only a single source domain is available. We propose…

cs.CV2023★ 6 cited

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,…

cs.CV2021

Towards Low-Cost and Efficient Malaria Detection

Waqas Sultani, Wajahat Nawaz, Syed Javed +3

Malaria, a fatal but curable disease claims hundreds of thousands of lives every year. Early and correct diagnosis is vital to avoid health complexities, however, it depends upon t…