2 citations · 5 across the 6 of their papers we have counts for
6 papers
AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery
Suraj Prasai, Kangning Cui, Rongkun Zhu +5
Forest imagery analysis often involves multiple tightly coupled vision tasks, which must be performed under substantial variation in geographic regions, sensors, and acquisition co…
MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing
Debashis Gupta, Aditi Golder, Rongkhun Zhu +6
Contrastive learning (CL) has emerged as a powerful paradigm for learning transferable representations without the reliance on large labeled datasets. Its ability to capture intrin…
Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery
Kangning Cui, Wei Tang, Rongkun Zhu +12
Understanding the spatial distribution of palms within tropical forests is essential for effective ecological monitoring, conservation strategies, and the sustainable integration o…
ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphs
Debashis Gupta, Aditi Golder, Luis Fernendez +6
Artisanal and Small-Scale Gold Mining (ASGM) is a low-cost yet highly destructive mining practice, leading to environmental disasters across the world's tropical watersheds. The to…
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
Ashley Peake, Joe McCalmon, Yixin Zhang +3
Performing autonomous exploration is essential for unmanned aerial vehicles (UAVs) operating in unknown environments. Often, these missions start with building a map for the enviro…
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
Xiaotian Liu, Pengyi Shi, Sarra Alqahtani +2
The ability to perform autonomous exploration is essential for unmanned aerial vehicles (UAV) operating in unstructured or unknown environments where it is hard or even impossible…