Zobrazeno 1 - 10
of 39 914
pro vyhledávání: '"Imad, A."'
This paper introduces a real-time Vehicle Collision Avoidance System (V-CAS) designed to enhance vehicle safety through adaptive braking based on environmental perception. V-CAS leverages the advanced vision-based transformer model RT-DETR, DeepSORT
Externí odkaz:
http://arxiv.org/abs/2411.01963
Computer vision researchers have extensively worked on fundamental infrared visual recognition for the past few decades. Among various approaches, deep learning has emerged as the most promising candidate. However, Infrared Small Object Segmentation
Externí odkaz:
http://arxiv.org/abs/2410.22881
Hyperspectral Imaging (HSI) is known for its advantages over traditional RGB imaging in remote sensing, agriculture, and medicine. Recently, it has gained attention for enhancing Advanced Driving Assistance Systems (ADAS) perception. Several HSI data
Externí odkaz:
http://arxiv.org/abs/2410.22101
The joint detection and tracking of a moving target embedded in an unknown disturbance represents a key feature that motivates the development of the cognitive radar paradigm. Building upon recent advancements in robust target detection with multiple
Externí odkaz:
http://arxiv.org/abs/2410.17967
Autor:
Laria, Héctor, Gomez-Villa, Alex, Marouf, Imad Eddine, Wang, Kai, Raducanu, Bogdan, van de Weijer, Joost
Recent advances in diffusion models have significantly enhanced image generation capabilities. However, customizing these models with new classes often leads to unintended consequences that compromise their reliability. We introduce the concept of op
Externí odkaz:
http://arxiv.org/abs/2410.14159
The volatility fitting is one of the core problems in the equity derivatives business. Through a set of deterministic rules, the degrees of freedom in the implied volatility surface encoding (parametrization, density, diffusion) are defined. Whilst v
Externí odkaz:
http://arxiv.org/abs/2410.11789
Autor:
Barrett, Hugh, Faruque, Imad I.
The development of ideal sources is a fundamental challenge for the practical implementation of integrated photonic technologies for quantum applications. In this paper we analyse the state-of-the-art in heralded single photon sources; pointing out i
Externí odkaz:
http://arxiv.org/abs/2410.08906
We introduce a novel anchor-free contrastive learning (AFCL) method leveraging our proposed Similarity-Orthogonality (SimO) loss. Our approach minimizes a semi-metric discriminative loss function that simultaneously optimizes two key objectives: redu
Externí odkaz:
http://arxiv.org/abs/2410.05233
This paper presents an integrated approach to Visual SLAM, merging online sequential photometric calibration within a Hybrid direct-indirect visual SLAM (H-SLAM). Photometric calibration helps normalize pixel intensity values under different lighting
Externí odkaz:
http://arxiv.org/abs/2409.16810
Autor:
Hu, Yan Song, Abboud, Nicolas, Ali, Muhammad Qasim, Yang, Adam Srebrnjak, Elhajj, Imad, Asmar, Daniel, Chen, Yuhao, Zelek, John S.
Real-time SLAM with dense 3D mapping is computationally challenging, especially on resource-limited devices. The recent development of 3D Gaussian Splatting (3DGS) offers a promising approach for real-time dense 3D reconstruction. However, existing 3
Externí odkaz:
http://arxiv.org/abs/2409.13055