Zobrazeno 1 - 10
of 118 648
pro vyhledávání: '"Sheikh IN"'
Autor:
Li, Junxuan, Cao, Chen, Schwartz, Gabriel, Khirodkar, Rawal, Richardt, Christian, Simon, Tomas, Sheikh, Yaser, Saito, Shunsuke
We present a new approach to creating photorealistic and relightable head avatars from a phone scan with unknown illumination. The reconstructed avatars can be animated and relit in real time with the global illumination of diverse environments. Unli
Externí odkaz:
http://arxiv.org/abs/2410.24223
In Adil et al. 2023, we reported an increasing trend in $S_8$ with effective redshift $z_{\textrm{eff}}$ based on $f \sigma_8(z)$ constraints over the redshift range $0 \lesssim z \lesssim 2$, and predicted that this trend would be observable in inde
Externí odkaz:
http://arxiv.org/abs/2410.23134
Distant-microphone meeting transcription is a challenging task. State-of-the-art end-to-end speaker-attributed automatic speech recognition (SA-ASR) architectures lack a multichannel noise and reverberation reduction front-end, which limits their per
Externí odkaz:
http://arxiv.org/abs/2410.21849
Autor:
Rahman, Md Abdur, Barek, Md Abdul, Riad, ABM Kamrul Islam, Rahman, Md Mostafizur, Rashid, Md Bajlur, Ambedkar, Smita, Miaa, Md Raihan, Wu, Fan, Cuzzocrea, Alfredo, Ahamed, Sheikh Iqbal
Although software developers of mHealth apps are responsible for protecting patient data and adhering to strict privacy and security requirements, many of them lack awareness of HIPAA regulations and struggle to distinguish between HIPAA rules catego
Externí odkaz:
http://arxiv.org/abs/2410.20664
Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs applications are highly vulnerable to prompt injection attacks, which poses
Externí odkaz:
http://arxiv.org/abs/2410.21337
Autor:
Chennuri, Prateek, Chi, Yiheng, Jiang, Enze, Godaliyadda, G. M. Dilshan, Gnanasambandam, Abhiram, Sheikh, Hamid R., Gyongy, Istvan, Chan, Stanley H.
Publikováno v:
European Conference on Computer Vision (ECCV) 2024
The proliferation of single-photon image sensors has opened the door to a plethora of high-speed and low-light imaging applications. However, data collected by these sensors are often 1-bit or few-bit, and corrupted by noise and strong motion. Conven
Externí odkaz:
http://arxiv.org/abs/2410.14994
Autor:
Heinrich, Paul, Papp, Gergely, Jachmich, Stefan, Artola, Javier, Bernert, Matthias, de Marné, Pascal, Dibon, Mathias, Dux, Ralph, Eberl, Thomas, Hobirk, Jörg, Lehnen, Michael, Peherstorfer, Tobias, Schwarz, Nina, Sheikh, Umar, Sieglin, Bernhard, Svoboda, Jakub, Team, the ASDEX Upgrade, Team, the EUROfusion Tokamak Exploitation
Future large tokamaks will operate at high plasma currents and high stored plasma energies. To ensure machine protection in case of a sudden loss of plasma confinement (major disruption), a large fraction of the magnetic and thermal energy must be ra
Externí odkaz:
http://arxiv.org/abs/2410.00591
In this paper, a novel generative adversarial imitation learning (GAIL)-powered policy learning approach is proposed for optimizing beamforming, spectrum allocation, and remote user equipment (RUE) association in NTNs. Traditional reinforcement learn
Externí odkaz:
http://arxiv.org/abs/2409.18718
As networks continue to expand and become more interconnected, the need for novel malware detection methods becomes more pronounced. Traditional security measures are increasingly inadequate against the sophistication of modern cyber attacks. Deep Pa
Externí odkaz:
http://arxiv.org/abs/2409.18219
Autor:
Khan, Mohammad Sadil, Sinha, Sankalp, Sheikh, Talha Uddin, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI framework fo
Externí odkaz:
http://arxiv.org/abs/2409.17106