Zobrazeno 1 - 10
of 595 146
pro vyhledávání: '"Woo A"'
Transporting between arbitrary distributions is a fundamental goal in generative modeling. Recently proposed diffusion bridge models provide a potential solution, but they rely on a joint distribution that is difficult to obtain in practice. Furtherm
Externí odkaz:
http://arxiv.org/abs/2410.01500
Autor:
Kim, Chan, Kim, Keonwoo, Oh, Mintaek, Baek, Hanbi, Lee, Jiyang, Jung, Donghwi, Woo, Soojin, Woo, Younkyung, Tucker, John, Firoozi, Roya, Seo, Seung-Woo, Schwager, Mac, Kim, Seong-Woo
Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation and navigation. However, existing methods are primarily designed for sta
Externí odkaz:
http://arxiv.org/abs/2409.10027
Autor:
Cho, Woojin, Lee, Jihyun, Yi, Minjae, Kim, Minje, Woo, Taeyun, Kim, Donghwan, Ha, Taewook, Lee, Hyokeun, Ryu, Je-Hwan, Woo, Woontack, Kim, Tae-Kyun
Existing datasets for 3D hand-object interaction are limited either in the data cardinality, data variations in interaction scenarios, or the quality of annotations. In this work, we present a comprehensive new training dataset for hand-object intera
Externí odkaz:
http://arxiv.org/abs/2409.04033
Autor:
Shin, Soohyun, Evetts, Trevor, Saylor, Hunter, Kim, Hyunji, Woo, Soojin, Rhee, Wonhwha, Kim, Seong-Woo
In recent years, quadruped robots have attracted significant attention due to their practical advantages in maneuverability, particularly when navigating rough terrain and climbing stairs. As these robots become more integrated into various industrie
Externí odkaz:
http://arxiv.org/abs/2408.17066
Data-driven offline reinforcement learning and imitation learning approaches have been gaining popularity in addressing sequential decision-making problems. Yet, these approaches rarely consider learning Pareto-optimal policies from a limited pool of
Externí odkaz:
http://arxiv.org/abs/2408.12110
Publikováno v:
Burns Open, Vol 7, Iss 2, Pp 26-27 (2023)
Background: Laser or light therapy hair removal is commonly used for hair removal in beauty salons and other non-medical practices. The process utilises light energy which is absorbed by the melanin in the hair. The subsequent heat energy damages the
Externí odkaz:
https://doaj.org/article/c4d3c9c38bf3403ea83f91205fa05cf7
Video Temporal Grounding (VTG) aims to identify visual frames in a video clip that match text queries. Recent studies in VTG employ cross-attention to correlate visual frames and text queries as individual token sequences. However, these approaches o
Externí odkaz:
http://arxiv.org/abs/2410.13598
Autor:
Atobe, Hiraku, Gan, Wee Teck, Ichino, Atsushi, Kaletha, Tasho, Mínguez, Alberto, Shin, Sug Woo
The local intertwining relation is an identity that gives precise information about the action of normalized intertwining operators on parabolically induced representations. We prove several instances of the local intertwining relation for quasi-spli
Externí odkaz:
http://arxiv.org/abs/2410.13504
Recent Large Language Models (LLMs) have demonstrated strong performance in translation without needing to be finetuned on additional parallel corpora. However, they still underperform for low-resource language pairs. Previous works have focused on m
Externí odkaz:
http://arxiv.org/abs/2410.11693
Autor:
Liu, Xu, Liu, Juncheng, Woo, Gerald, Aksu, Taha, Liang, Yuxuan, Zimmermann, Roger, Liu, Chenghao, Savarese, Silvio, Xiong, Caiming, Sahoo, Doyen
Time series foundation models have demonstrated impressive performance as zero-shot forecasters. However, achieving effectively unified training on time series remains an open challenge. Existing approaches introduce some level of model specializatio
Externí odkaz:
http://arxiv.org/abs/2410.10469