Zobrazeno 1 - 10
of 707
pro vyhledávání: '"Yilmaz Alper"'
Autor:
Navard, Pouyan, Monsefi, Amin Karimi, Zhou, Mengxi, Chao, Wei-Lun, Yilmaz, Alper, Ramnath, Rajiv
Recent advances in diffusion models have significantly improved text-to-image (T2I) generation, but they often struggle to balance fine-grained precision with high-level control. Methods like ControlNet and T2I-Adapter excel at following sketches by
Externí odkaz:
http://arxiv.org/abs/2410.01595
Skin cancer segmentation poses a significant challenge in medical image analysis. Numerous existing solutions, predominantly CNN-based, face issues related to a lack of global contextual understanding. Alternatively, some approaches resort to large-s
Externí odkaz:
http://arxiv.org/abs/2409.03062
Video scene graph generation (VidSGG) has emerged as a transformative approach to capturing and interpreting the intricate relationships among objects and their temporal dynamics in video sequences. In this paper, we introduce the new AeroEye dataset
Externí odkaz:
http://arxiv.org/abs/2406.01029
The adoption of Vision Transformers (ViTs) based architectures represents a significant advancement in 3D Medical Image (MI) segmentation, surpassing traditional Convolutional Neural Network (CNN) models by enhancing global contextual understanding.
Externí odkaz:
http://arxiv.org/abs/2404.10156
Autor:
Navard, Pouyan, Yilmaz, Alper
Positioning is a prominent field of study, notably focusing on Visual Inertial Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) methods. Despite their advancements, these methods often encounter dead-reckoning errors that leads to cons
Externí odkaz:
http://arxiv.org/abs/2404.10140
Autor:
Huai, Jianzhu, Zhuang, Yuan, Shao, Yuxin, Jozkow, Grzegorz, Wang, Binliang, He, Yijia, Yilmaz, Alper
Wide-angle cameras are widely used in photogrammetry and autonomous systems which rely on the accurate metric measurements derived from images. To find the geometric relationship between incoming rays and image pixels, geometric camera calibration (G
Externí odkaz:
http://arxiv.org/abs/2306.09014
The Global Positioning System (GPS) has become a part of our daily life with the primary goal of providing geopositioning service. For an unmanned aerial system (UAS), geolocalization ability is an extremely important necessity which is achieved usin
Externí odkaz:
http://arxiv.org/abs/2208.12251
This paper presents a novel end-to-end Unmanned Aerial System (UAS) navigation approach for long-range visual navigation in the real world. Inspired by dual-process visual navigation system of human's instinct: environment understanding and landmark
Externí odkaz:
http://arxiv.org/abs/2208.12125
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the Random Forest classifier with Mean Decrease of Accuracy (MDA) for meas
Externí odkaz:
http://arxiv.org/abs/2208.09063
Autor:
Han, Yuci, Yilmaz, Alper
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 simulatio
Externí odkaz:
http://arxiv.org/abs/2205.12128