2 citations · 3 across the 8 of their papers we have counts for
8 papers
MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
Piyush Tiwary, Utkarsh Ahuja, Depanshu Sani +5
Agricultural landscape segmentation in the Global South is challenging as it is characterized by fragmented plots, high intra-class variance, and a scarcity of labeled training dat…
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Depanshu Sani, Mehar Khurana, Saket Anand
Animal Re-ID has recently gained substantial attention in the AI research community due to its high impact on biodiversity monitoring and unique research challenges arising from en…
Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
Depanshu Sani, Saket Anand
Traditional classifiers treat all labels as mutually independent, thereby considering all negative classes to be equally incorrect. This approach fails severely in many real-world…
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
Depanshu Sani, Saket Anand
The growing demand for robust scene understanding in mobile robotics and autonomous driving has highlighted the importance of integrating multiple sensing modalities. By combining…
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters
Depanshu Sani, Sandeep Mahato, Sourabh Saini +5
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite greater access to earth observation data in agriculture, there is a scarci…
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production
Depanshu Sani, Sandeep Mahato, Parichya Sirohi +5
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite the increased access to earth observation data for agriculture, there is a…
Learning Hierarchy Aware Features for Reducing Mistake Severity
Ashima Garg, Depanshu Sani, Saket Anand
Label hierarchies are often available apriori as part of biological taxonomy or language datasets WordNet. Several works exploit these to learn hierarchy aware features in order to…
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery
Depanshu Sani, Sandeep Mahato, Parichya Sirohi +4
The integration of the modern Machine Learning (ML) models into remote sensing and agriculture has expanded the scope of the application of satellite images in the agriculture doma…