Zobrazeno 1 - 10
of 16 900
pro vyhledávání: '"Feng, Yang"'
Reconstructing the 3D anatomical structures of the oral cavity, which originally reside in the cone-beam CT (CBCT), from a single 2D Panoramic X-ray(PX) remains a critical yet challenging task, as it can effectively reduce radiation risks and treatme
Externí odkaz:
http://arxiv.org/abs/2411.03725
Byte-based machine translation systems have shown significant potential in massively multilingual settings. Unicode encoding, which maps each character to specific byte(s), eliminates the emergence of unknown words, even in new languages, enabling br
Externí odkaz:
http://arxiv.org/abs/2411.01474
Autor:
Wu, Hsin-Yeh, Besançon, Marc, Chen, Jia-Wern, Chen, Pisin, Glicenstein, Jean-François, Liu, Shu-Xiao, Lu, Yu-Jung, Navick, Xavier-François, Paganis, Stathes, Tuchming, Boris, Tsionou, Dimitra, Tsai, Feng-Yang
A dual-operation mode SNSPD is demonstrated. In the conventional Geiger SNSPD mode the sensor operates at temperatures well below the critical temperature, Tc, working as an event counter without sensitivity to the number of photons impinging the sen
Externí odkaz:
http://arxiv.org/abs/2410.10280
Models like GPT-4o enable real-time interaction with large language models (LLMs) through speech, significantly enhancing user experience compared to traditional text-based interaction. However, there is still a lack of exploration on how to build sp
Externí odkaz:
http://arxiv.org/abs/2409.06666
The Rust programming language has garnered significant attention due to its robust safety features and memory management capabilities. Despite its guaranteed memory safety, Rust programs suffer from runtime errors that are unmanageable, i.e., panic e
Externí odkaz:
http://arxiv.org/abs/2408.03262
The many-to-many multilingual neural machine translation can be regarded as the process of integrating semantic features from the source sentences and linguistic features from the target sentences. To enhance zero-shot translation, models need to sha
Externí odkaz:
http://arxiv.org/abs/2408.01394
We propose a functional stochastic block model whose vertices involve functional data information. This new model extends the classic stochastic block model with vector-valued nodal information, and finds applications in real-world networks whose nod
Externí odkaz:
http://arxiv.org/abs/2407.00564
Direct speech-to-speech translation (S2ST) has achieved impressive translation quality, but it often faces the challenge of slow decoding due to the considerable length of speech sequences. Recently, some research has turned to non-autoregressive (NA
Externí odkaz:
http://arxiv.org/abs/2406.07330
Recently proposed two-pass direct speech-to-speech translation (S2ST) models decompose the task into speech-to-text translation (S2TT) and text-to-speech (TTS) within an end-to-end model, yielding promising results. However, the training of these mod
Externí odkaz:
http://arxiv.org/abs/2406.07289
Simultaneous translation models play a crucial role in facilitating communication. However, existing research primarily focuses on text-to-text or speech-to-text models, necessitating additional cascade components to achieve speech-to-speech translat
Externí odkaz:
http://arxiv.org/abs/2406.06937