Zobrazeno 1 - 10
of 3 111
pro vyhledávání: '"A. Yagiz"'
In the evolving landscape of autonomous vehicles, ensuring robust in-vehicle network (IVN) security is paramount. This paper introduces an advanced intrusion detection system (IDS) called KD-XVAE that uses a Variational Autoencoder (VAE)-based knowle
Externí odkaz:
http://arxiv.org/abs/2410.09043
This paper proposes Pix2Next, a novel image-to-image translation framework designed to address the challenge of generating high-quality Near-Infrared (NIR) images from RGB inputs. Our approach leverages a state-of-the-art Vision Foundation Model (VFM
Externí odkaz:
http://arxiv.org/abs/2409.16706
The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the high dynamic range (HDR) of luminance present in the scene from single
Externí odkaz:
http://arxiv.org/abs/2409.13803
Autor:
Careaga, Chris, Aksoy, Yağız
Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph. Due to the complexity of the problem, most prior works assume a single-color illumination and a Lambertian world,
Externí odkaz:
http://arxiv.org/abs/2409.13690
Class-agnostic image segmentation is a crucial component in automating image editing workflows, especially in contexts where object selection traditionally involves interactive tools. Existing methods in the literature often adhere to top-down formul
Externí odkaz:
http://arxiv.org/abs/2409.13687
Autor:
Liu, Y. Isabel, Nguyen, Windsor, Devre, Yagiz, Dogariu, Evan, Majumdar, Anirudha, Hazan, Elad
This paper describes an efficient, open source PyTorch implementation of the Spectral Transform Unit. We investigate sequence prediction tasks over several modalities including language, robotics, and simulated dynamical systems. We find that for the
Externí odkaz:
http://arxiv.org/abs/2409.10489
Bugs are inevitable in software development, and their reporting in open repositories can enhance software transparency and reliability assessment. This study aims to extract information from the issue tracking system Jira and proposes a methodology
Externí odkaz:
http://arxiv.org/abs/2407.21241
Providing high quality software and evaluating the software reliability in softwarized networks are crucial for vendors and customers. These networks rely on open source code, which are sensitive to contain high number of bugs. Both, the knowledge ab
Externí odkaz:
http://arxiv.org/abs/2407.21224
Existing methods for scale-invariant monocular depth estimation (SI MDE) often struggle due to the complexity of the task, and limited and non-diverse datasets, hindering generalizability in real-world scenarios. This is while shift-and-scale-invaria
Externí odkaz:
http://arxiv.org/abs/2406.09374
The demand for novel detector mediums such as Water-based Liquid Scintillator (WbLS) has increased over the last few decades due to their capability for both low energy particle interactions and higher light yield. Recently, the usage of machine lear
Externí odkaz:
http://arxiv.org/abs/2406.09191