1 code implementation • 15 Apr 2024 • Shehan Perera, Pouyan Navard, Alper Yilmaz
Furthermore, in the context of limited datasets, often encountered in medical imaging, larger models can present hurdles in both model generalization and convergence.
no code implementations • 15 Jun 2023 • Jianzhu Huai, Yuan Zhuang, Yuxin Shao, Grzegorz Jozkow, Binliang Wang, Yijia He, Alper Yilmaz
These tests reveal the strengths and weaknesses of these camera models, as well as the repeatability of these GCC tools.
no code implementations • 25 Aug 2022 • Yuci Han, Jianli Wei, Alper Yilmaz
Once the agent learns the navigation policy, which means 'familiarized themselves with the environment', we let the UAS fly in the real world to recognize the landmarks using image matching method and take action according to the learned policy.
1 code implementation • 25 Aug 2022 • Jianli Wei, Deniz Karakay, Alper Yilmaz
For an unmanned aerial system (UAS), geolocalization ability is an extremely important necessity which is achieved using Inertial Navigation System (INS) with the GPS at its heart.
no code implementations • 18 Aug 2022 • Alexys Herleym Rodríguez Avellaneda, Abdollah Shafieezadeh, Alper Yilmaz
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida.
no code implementations • 24 May 2022 • Yuci Han, Alper Yilmaz
In this paper, we propose Sparse Imitation Reinforcement Learning (SIRL), a hybrid end-to-end control policy that combines the sparse expert driving knowledge with reinforcement learning (RL) policy for autonomous driving (AD) task in CARLA simulation environment.
no code implementations • 1 May 2022 • Yongsheng Bai, Bing Zha, Halil Sezen, Alper Yilmaz
In the third and fourth studies, end-to-end networks are developed and tested as a new solution to directly detect cracks and spalling in the image collections of recent large earthquakes.
no code implementations • 8 Feb 2022 • Michael Karnes, Alper Yilmaz
The results of this study characterize the Mahalanobis distances and cosine similarities between DeCAF object manifolds across two visual object tracking benchmark data sets.
no code implementations • 10 Sep 2021 • Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen, Alper Yilmaz
This paper proposes a pipeline to automatically track and measure displacement and vibration of structural specimens during laboratory experiments.
no code implementations • 8 Sep 2021 • Michael Karnes, Shehan Perera, Srikar Adhikari, Alper Yilmaz
This paper presents a novel ultrasound imaging point-of-care (PoC) COVID-19 diagnostic system.
no code implementations • 2 Sep 2021 • Jianli Wei, Guanyu Xu, Alper Yilmaz
Geopositioning and tracking a moving boat at sea is a very challenging problem, requiring boat detection, matching and estimating its GPS location from imagery with no common features.
no code implementations • 5 Aug 2021 • Ningli Xu, Debao Huang, Shuang Song, Xiao Ling, Chris Strasbaugh, Alper Yilmaz, Halil Sezen, Rongjun Qin
In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a building during a demolition event.
no code implementations • 20 May 2021 • Shehan Perera, Srikar Adhikari, Alper Yilmaz
The rapid and seemingly endless expansion of COVID-19 can be traced back to the inefficiency and shortage of testing kits that offer accurate results in a timely manner.
no code implementations • 9 Apr 2021 • Bing Zha, Alessandro Vanni, Yassin Hassan, Tunc Aldemir, Alper Yilmaz
An advanced temporal neural network referred to as the Transformer is used within a supervised learning fashion to model the time-dependent NPP simulation data and to infer whether a given sequence of events leads to core damage or not.
no code implementations • 5 Nov 2020 • Yongsheng Bai, Halil Sezen, Alper Yilmaz
Robust Mask R-CNN (Mask Regional Convolu-tional Neural Network) methods are proposed and tested for automatic detection of cracks on structures or their components that may be damaged during extreme events, such as earth-quakes.
no code implementations • 13 Oct 2020 • Bing Zha, Alper Yilmaz
The experiments show that the motion trajectories can be learned by training an recurrent neural network, and temporally consistent geolocation can be predicted with both of the proposed strategies.
3 code implementations • 24 Oct 2018 • Ye Lyu, George Vosselman, Gui-Song Xia, Alper Yilmaz, Michael Ying Yang
There already exist several semantic segmentation datasets for comparison among semantic segmentation methods in complex urban scenes, such as the Cityscapes and CamVid datasets, where the side views of the objects are captured with a camera mounted on the driving car.
1 code implementation • 19 Sep 2018 • Oliver Nina, Washington Garcia, Scott Clouse, Alper Yilmaz
Many of the current state of the art methods for video captioning and movie description rely on simple encoding mechanisms through recurrent neural networks to encode temporal visual information extracted from video data.
no code implementations • 10 May 2017 • Shirui Li, Alper Yilmaz, Changlin Xiao, Hua Li
The TSDF represents the distance between the spatial points and object surface points which is an implicit surface representation.