7 papers
WeatherOcc3D: VLM-Assisted Adverse Weather Aware 3D Semantic Occupancy Prediction
A. Enes Doruk, Abdelaziz Hussein, Hasan F. Ates
While multi-modal 3D semantic occupancy prediction typically enhances robustness by fusing camera and LiDAR inputs, its effectiveness is fundamentally constrained by environmental…
BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite Images
Sinan U. Ulu, A. Enes Doruk, I. Can Yagmur +3
Accurate building segmentation and height estimation from single-view RGB satellite imagery are fundamental for urban analytics, yet remain ill-posed due to structural variability…
VLMFusionOcc3D: VLM Assisted Multi-Modal 3D Semantic Occupancy Prediction
A. Enes Doruk, Hasan F. Ates
This paper introduces VLMFusionOcc3D, a robust multimodal framework for dense 3D semantic occupancy prediction in autonomous driving. Current voxel-based occupancy models often str…
Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment
Baris Arat, Hasan Fehmi Ates, Emre Sefer
Reliable real estate price indicators are typically published at city level and low frequency, limiting their use for neighborhood-scale monitoring and long-horizon planning. We st…
GaussianOcc3D: A Gaussian-Based Adaptive Multi-modal 3D Occupancy Prediction
A. Enes Doruk, Hasan F. Ates
3D semantic occupancy prediction is a pivotal task in autonomous driving, providing a dense and fine-grained understanding of the surrounding environment, yet single-modality metho…
DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object Detection
A. Enes Doruk, Hasan F. Ates
Recent 2D CNN-based domain adaptation approaches struggle with long-range dependencies due to limited receptive fields, making it difficult to adapt to target domains with signific…