most citedEvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Foresight: planning future perception in streaming VLMs without retraining

Ashok Prasad Neupane, Dipan Bartaula, Ankit Belbase +5

Existing streaming vision-language models (VLMs) continuously perceive and reason over visual streams, but their computational pathways remain fixed throughout inference. Consequen…

cs.LG2026

iADD: Improving Alignment and Diversity in Diffusion Policy Optimization

Ashok Prasad Neupane, Saugat Adhikari, Pramish Paudel +2

Reinforcement learning based post training of diffusion models, such as Denoising Diffusion Policy Optimization (DDPO), optimizes a reverse diffusion process under a reward functio…

cs.AI2026

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation

Saugat Adhikari, Ashok Prasad Neupane, Pramish Paudel +2

Synthetic 3D scene generation is increasingly used as a data source for computer vision and embodied AI, but existing generators often optimize perceptual realism without reliably…

cs.DB2026

3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects

Lyuheng Yuan, Da Yan, Saugat Adhikari +2

Spatial join is a fundamental operation in spatial databases. With the rapid growth of 3D data in applications such as LiDAR-based object detection and 3D digital pathology, there…

cs.CV2026

EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery

Zelin Xu, Yupu Zhang, Saugat Adhikari +6

Benchmarking spatial reasoning in multimodal large language models (MLLMs) has attracted growing interest in computer vision due to its importance for embodied AI and other agentic…

cs.CV2024

Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping

Landon Dyken, Saugat Adhikari, Pravin Poudel +4

Mapping the extent of flood events is a necessary and important aspect of disaster management. In recent years, deep learning methods have evolved as an effective tool to quickly l…

cs.CV2024★ 1 cited

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)

Mirza Tanzim Sami, Da Yan, Saugat Adhikari +5

Accurate and timely mapping of flood extent from high-resolution satellite imagery plays a crucial role in disaster management such as damage assessment and relief activities. Howe…