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From the 1 of 1.2k papers with an AI index.

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20032025
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2023Show all

70 papers · 1 filter

cs.LG202312 cited

Adaptive trajectory-constrained exploration strategy for deep reinforcement learning

Guojian Wang, Faguo Wu, Xiao Zhang +2

Deep reinforcement learning (DRL) faces significant challenges in addressing the hard-exploration problems in tasks with sparse or deceptive rewards and large state spaces. These c…

cs.GR202323 cited

BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis

Hao-Bin Duan, Miao Wang, Jin-Chuan Shi +2

Synthesizing photorealistic 4D human head avatars from videos is essential for VR/AR, telepresence, and video game applications. Although existing Neural Radiance Fields (NeRF)-bas…

physics.space-ph2023

Unveiling plasma energization and energy transport in the Earth Magnetospheric System: the need for future coordinated multiscale observations

A. Retino, L. Kepko, H. Kucharek +31

Energetic plasma is everywhere in the Universe. The terrestrial Magnetospheric System is a key case where direct measures of plasma energization and energy transport can be made in…

cs.CV20238 cited

High-Quality 3D Face Reconstruction with Affine Convolutional Networks

Zhiqian Lin, Jiangke Lin, Lincheng Li +2

Recent works based on convolutional encoder-decoder architecture and 3DMM parameterization have shown great potential for canonical view reconstruction from a single input image. C…

nucl-ex202324 cited

Isospin-dependence of the charge-changing cross-section shaped by the charged-particle evaporation process

J. W. Zhao, B. -H. Sun, I. Tanihata +26

We present the charge-changing cross sections (CCCS) of C, N, and O at around 300 MeV/nucleon on a carbon target, which extends to -shell isotop…

cs.CV202318 cited

DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception

Xianghao Kong, Wentao Jiang, Jinrang Jia +3

Vehicle-to-Everything (V2X) collaborative perception is crucial for autonomous driving. However, achieving high-precision V2X perception requires a significant amount of annotated…