11 citations · 14 across the 8 of their papers we have counts for
8 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…
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems
Risal Shahriar Shefin, Debashis Gupta, Thai Le +1
Multi-Agent Reinforcement Learning (MARL) is increasingly deployed in safety-critical domains, yet methods for interpretable failure detection and attribution remain underdeveloped…
From Orthomosaics to Raw UAV Imagery: Enhancing Palm Detection and Crown-Center Localization
Rongkun Zhu, Kangning Cui, Wei Tang +10
Accurate mapping of individual trees is essential for ecological monitoring and forest management. Orthomosaic imagery from unmanned aerial vehicles (UAVs) is widely used, but stit…
Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware Exploration
Tuan Le, Risal Shefin, Debashis Gupta +2
Ensuring the safety of reinforcement learning (RL) policies in high-stakes environments requires not only formal verification but also interpretability and targeted falsification.…
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms
Kangning Cui, Rongkun Zhu, Manqi Wang +9
Palms are ecologically and economically indicators of tropical forest health, biodiversity, and human impact that support local economies and global forest product supply chains. W…
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…