1 citations · 1 across the 8 of their papers we have counts for
8 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…
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…
Gaussian Based Adaptive Multi-Modal 3D Semantic Occupancy Prediction
A. Enes Doruk
The sparse object detection paradigm shift towards dense 3D semantic occupancy prediction is necessary for dealing with long-tail safety challenges for autonomous vehicles. Nonethe…
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…
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
A. Enes Doruk, Erhan Oztop, Hasan F. Ates
Unsupervised Domain Adaptation (UDA) aims to utilize labeled data from a source domain to solve tasks in an unlabeled target domain, often hindered by significant domain gaps. Trad…
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras
H. Umut Suluhan, Abdullah Enes Doruk, Hasan F. Ates +1
High-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information. State-of-the-art cameras prov…