Charalambos Poullis

Computer Science · Physical Sciences

19h-index1.2kcitations96works2.62yr avg
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Research Topics

Advanced Vision and Imaging(20), Remote Sensing and LiDAR Applications(17), 3D Surveying and Cultural Heritage(15), Virtual Reality Applications and Impacts(14), Automated Road and Building Extraction(14)

Publications96 total

Distill3R: A Pipeline for Democratizing 3D Foundation Models on Commodity Hardware
ArXiv.org·2026Open Access
Distill3R: A Pipeline for Democratizing 3D Foundation Models on Commodity Hardware
arXiv (Cornell University)·2026Open Access
Extreme Views: 3DGS Filter for Novel View Synthesis from Out-of-Distribution Camera Poses
arXiv (Cornell University)·2025Open Access
Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking
2025· 1 cited
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
2025· 2 cited
Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking
arXiv (Cornell University)·2025Open Access
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
arXiv (Cornell University)·2025Open Access
Pix2Poly: A Sequence Prediction Method for End-to-End Polygonal Building Footprint Extraction from Remote Sensing Imagery
2025
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
Lecture notes in computer science·2025· 1 cited
Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery
arXiv (Cornell University)·2024Open Access
Neural Real-Time Recalibration for Infrared Multi-Camera Systems
arXiv (Cornell University)·2024Open Access
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
arXiv (Cornell University)·2024Open Access
From data to action in flood forecasting leveraging graph neural networks and digital twin visualization
Scientific Reports·2024· 33 citedOpen Access
From Data to Action: Flood Forecasting Leveraging Graph Neural Networks and Digital Twin Visualization
2024· 1 citedOpen Access
Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation
Scientific Reports·2024· 1 citedOpen Access
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting
2023· 3 cited
Analysis of Hand Movement and Head Orientation in Hierarchical Menu Selection in Immersive AR
2023
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting
arXiv (Cornell University)·2023Open Access
ESPiM: Eye-Strain Probation Model, An Eye-Tracking Analysis Measure for Digital Displays
arXiv (Cornell University)·2023Open Access
Transductive Meta-Learning with Enhanced Feature Ensemble for Few-shot Semantic Segmentation
Research Square (Research Square)·2023Open Access
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Frequent Co-authors

Suya You(7), Kyriakos Herakleous(7), Aimilia Tzanavari(6), Dimitrios Skarlatos(5), Sudhir P. Mudur(5), Irene Katsouri(3), Panagiotis Agrafiotis(3), Stella Démesticha(3), Fotis Liarokapis(3), Selma Rizvić(3), Bart Simon(3), Chris Christou(3), Naghmeh Shafiee Roudbari(3), Zachary Patterson(3), Ursula Eicker(3), Marta Kersten‐Oertel(3), Bodhiswatta Chatterjee(3), Ulrich Neumann(3), Qiao Chen(3), Yashas Joshi(3)