Zobrazeno 1 - 10
of 31 626
pro vyhledávání: '"P, Javed"'
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make these methods viable for real-time applications such as AR/VR, gaming
Externí odkaz:
http://arxiv.org/abs/2412.05700
Road anomalies can be defined as irregularities on the road surface or in the surface itself. Some may be intentional (such as speedbumps), accidental (such as materials falling off a truck), or the result of roads' excessive use or low or no mainten
Externí odkaz:
http://arxiv.org/abs/2412.04990
Autor:
Nagies, Sebastian, Geier, Kevin T., Akram, Javed, Bantounas, Dimitrios, Johanning, Michael, Hauke, Philipp
Quantum annealing aims at solving optimization problems of practical relevance using quantum computing hardware. Problems of interest are typically formulated in terms of quadratic unconstrained binary optimization (QUBO) Hamiltonians. However, many
Externí odkaz:
http://arxiv.org/abs/2412.04398
In recent years, the challenge of 3D shape analysis within point cloud data has gathered significant attention in computer vision. Addressing the complexities of effective 3D information representation and meaningful feature extraction for classifica
Externí odkaz:
http://arxiv.org/abs/2412.03052
This paper introduces TemporalVLM, a video large language model capable of effective temporal reasoning and fine-grained understanding in long videos. At the core, our approach includes a visual encoder for mapping a long-term input video into featur
Externí odkaz:
http://arxiv.org/abs/2412.02930
Publikováno v:
Eur. Phys. J. C 84(2024)1232
This research paper investigates the impact of non-metricity and matter source on the geometry of charged spheres in the presence of anisotropic matter configuration. We use a specific model of extended symmetric teleparallel theory to minimize the c
Externí odkaz:
http://arxiv.org/abs/2412.01411
Autor:
Sudevan, Vidya, Zayer, Fakhreddine, Hassan, Taimur, Javed, Sajid, Karki, Hamad, De Masi, Giulia, Dias, Jorge
This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challenging realm of extreme underwater environments. The cutting-edge DU-VI
Externí odkaz:
http://arxiv.org/abs/2411.13988
This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of conventional deep learning algorithms, neuromorphic technology, lever
Externí odkaz:
http://arxiv.org/abs/2411.13962
This systematic review explores the theoretical foundations, evolution, applications, and future potential of Kolmogorov-Arnold Networks (KAN), a neural network model inspired by the Kolmogorov-Arnold representation theorem. KANs distinguish themselv
Externí odkaz:
http://arxiv.org/abs/2411.06078
This article extends the work on stochastic constrained heat equation in \cite{brzezniak2020global}. We will show the existence of Martingale solutions to the stochastic-constrained heat equations. The proof is based on compactness, tightness of meas
Externí odkaz:
http://arxiv.org/abs/2411.04631