activity
20162026
most citedSpatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks

88 citations · 135 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CV2026

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…

cs.CV2024★ 3 cited

XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration

Ismail Can Yagmur, Hasan F. Ates, Bahadir K. Gunturk

Accurate multispectral image matching presents significant challenges due to non-linear intensity variations across spectral modalities, extreme viewpoint changes, and the scarcity…

eess.IV2024★ 1 cited

Learning Binary Color Filter Arrays with Trainable Hard Thresholding

Cemre Omer Ayna, Bahadir Kursat Gunturk, Ali Cafer Gurbuz

Color Filter Arrays (CFA) are optical filters in digital cameras that capture specific color channels. Current commercial CFAs are hand-crafted patterns with different physical and…

eess.IV2024★ 22 cited

Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation

Hasan F. Ates, Suleyman Yildirim, Bahadir K. Gunturk

Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life i…

cs.CV2023

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…

cs.CV2022

HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance

H. Umut Suluhan, Hasan F. Ates, Bahadir K. Gunturk

Wide area surveillance has many applications and tracking of objects under observation is an important task, which often needs high spatio-temporal resolution (HSTR) video for bett…

cs.LG2021★ 1 cited

Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network

Ibrahim Shoer, Bahadir K. Gunturk, Hasan F. Ates +1

It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done throu…

cs.CV2021

HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery

Hakki Motorcu, Hasan F. Ates, H. Fatih Ugurdag +1

Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive…

cs.CV2017

Light field super resolution through controlled micro-shifts of light field sensor

M. Umair Mukati, Bahadir K. Gunturk

Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space. Mi…

cs.CV2017★ 88 cited

Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks

M. Shahzeb Khan Gul, Bahadir K. Gunturk

Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusi…

cs.CV2016

Extracting Sub-Exposure Images from a Single Capture Through Fourier-based Optical Modulation

Shah Rez Khan, Martin Feldman, Bahadir K. Gunturk

Through pixel-wise optical coding of images during exposure time, it is possible to extract sub-exposure images from a single capture. Such a capability can be used for different p…

cs.CV2016

Light Field Stitching for Extended Synthetic Aperture

M. Umair Mukati, Bahadir K. Gunturk

Through capturing spatial and angular radiance distribution, light field cameras introduce new capabilities that are not possible with conventional cameras. So far in the light fie…

cs.CV2016★ 20 cited

Hybrid Light Field Imaging for Improved Spatial Resolution and Depth Range

M. Zeshan Alam, Bahadir K. Gunturk

Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustm…