Zobrazeno 1 - 10
of 912
pro vyhledávání: '"Lee Won Hee"'
Designing a fast and effective entropy model is challenging but essential for practical application of neural codecs. Beyond spatial autoregressive entropy models, more efficient backward adaptation-based entropy models have been recently developed.
Externí odkaz:
http://arxiv.org/abs/2411.05832
Autor:
Yang, Yiqian, Jo, Hyejeong, Duan, Yiqun, Zhang, Qiang, Zhou, Jinni, Lee, Won Hee, Xu, Renjing, Xiong, Hui
Deciphering language from brain activity is a crucial task in brain-computer interface (BCI) research. Non-invasive cerebral signaling techniques including electroencephalography (EEG) and magnetoencephalography (MEG) are becoming increasingly popula
Externí odkaz:
http://arxiv.org/abs/2406.01512
This work critically analyzes existing models for open-vocabulary EEG-to-Text translation. We identify a crucial limitation: previous studies often employed implicit teacher-forcing during evaluation, artificially inflating performance metrics. Addit
Externí odkaz:
http://arxiv.org/abs/2405.06459
Autor:
Yang, Yiqian, Duan, Yiqun, Zhang, Qiang, Jo, Hyejeong, Zhou, Jinni, Lee, Won Hee, Xu, Renjing, Xiong, Hui
Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implanta
Externí odkaz:
http://arxiv.org/abs/2403.01748
Neural video compression (NVC) is a rapidly evolving video coding research area, with some models achieving superior coding efficiency compared to the latest video coding standard Versatile Video Coding (VVC). In conventional video coding standards,
Externí odkaz:
http://arxiv.org/abs/2308.15791
Publikováno v:
In Separation and Purification Technology 19 February 2025 354 Part 4
Publikováno v:
In Computers in Biology and Medicine January 2025 184
Publikováno v:
In Energy Conversion and Management 15 August 2024 314
Publikováno v:
In Journal of Materials Research and Technology July-August 2024 31:3205-3211