Alert button

"Time": models, code, and papers
Alert button

Target Speaker Extraction by Directly Exploiting Contextual Information in the Time-Frequency Domain

Feb 27, 2024
Xue Yang, Changchun Bao, Jing Zhou, Xianhong Chen

Viaarxiv icon

Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study

Mar 09, 2024
Arit Kumar Bishwas, Anuraj Som, Saurabh Choudhary

Viaarxiv icon

Accelerated Real-time Cine and Flow under In-magnet Staged Exercise

Feb 27, 2024
Preethi Chandrasekaran, Chong Chen, Yingmin Liu, Syed Murtaza Arshad, Christopher Crabtree, Matthew Tong, Yuchi Han, Rizwan Ahmad

Viaarxiv icon

All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing

Mar 10, 2024
Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki, Takafumi Haraguchi, Daisuke Hirahara, Shumon Kimura, Yasuyuki Kobayashi, Gento Mogi

Viaarxiv icon

Textureless Object Recognition: An Edge-based Approach

Mar 10, 2024
Frincy Clement, Kirtan Shah, Dhara Pancholi, Gabriel Lugo Bustillo, Dr. Irene Cheng

Viaarxiv icon

VLSI Architectures of Forward Kinematic Processor for Robotics Applications

Mar 07, 2024
Sourav Roy, Subhadeep Paul, Tapas Kumar Maiti

Figure 1 for VLSI Architectures of Forward Kinematic Processor for Robotics Applications
Figure 2 for VLSI Architectures of Forward Kinematic Processor for Robotics Applications
Figure 3 for VLSI Architectures of Forward Kinematic Processor for Robotics Applications
Figure 4 for VLSI Architectures of Forward Kinematic Processor for Robotics Applications
Viaarxiv icon

Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving

Mar 07, 2024
Lei Zheng, Rui Yang, Zengqi Peng, Wei Yan, Michael Yu Wang, Jun Ma

Figure 1 for Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Figure 2 for Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Figure 3 for Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Figure 4 for Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Viaarxiv icon

METAMAT 01: A semi-analytic Solution for Benchmarking Wave Propagation Simulations of homogeneous Absorbers in 1D/3D and 2D

Mar 06, 2024
Stefan Schoder, Paul Maurerlehner

Figure 1 for METAMAT 01: A semi-analytic Solution for Benchmarking Wave Propagation Simulations of homogeneous Absorbers in 1D/3D and 2D
Figure 2 for METAMAT 01: A semi-analytic Solution for Benchmarking Wave Propagation Simulations of homogeneous Absorbers in 1D/3D and 2D
Figure 3 for METAMAT 01: A semi-analytic Solution for Benchmarking Wave Propagation Simulations of homogeneous Absorbers in 1D/3D and 2D
Viaarxiv icon

A prior Estimates for Deep Residual Network in Continuous-time Reinforcement Learning

Feb 24, 2024
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo

Viaarxiv icon

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations

Feb 21, 2024
Xinyi Wang, Lang Tong, Qing Zhao

Viaarxiv icon