Zobrazeno 1 - 10
of 188 836
pro vyhledávání: '"P Woo"'
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
Autor:
Zeng, Ziyao, Wu, Yangchao, Park, Hyoungseob, Wang, Daniel, Yang, Fengyu, Soatto, Stefano, Lao, Dong, Hong, Byung-Woo, Wong, Alex
We propose a method for metric-scale monocular depth estimation. Inferring depth from a single image is an ill-posed problem due to the loss of scale from perspective projection during the image formation process. Any scale chosen is a bias, typicall
Externí odkaz:
http://arxiv.org/abs/2410.02924
Autor:
Rho, Donghwan, Kim, Taeseong, Park, Minje, Kim, Jung Woo, Chae, Hyunsik, Cheon, Jung Hee, Ryu, Ernest K.
Large language models (LLMs) offer personalized responses based on user interactions, but this use case raises serious privacy concerns. Homomorphic encryption (HE) is a cryptographic protocol supporting arithmetic computations in encrypted states an
Externí odkaz:
http://arxiv.org/abs/2410.02486
The mass shift a spin-1 particle moving in the nuclear medium will depend on its polarization direction. To study polarization-independent mass shifts in the medium, we explore methods to isolate each polarization direction of spin-1 mesons through t
Externí odkaz:
http://arxiv.org/abs/2410.00489
Autor:
Chae, Hyungjoo, Kwon, Taeyoon, Moon, Seungjun, Song, Yongho, Kang, Dongjin, Ong, Kai Tzu-iunn, Kwak, Beong-woo, Bae, Seonghyeon, Hwang, Seung-won, Yeo, Jinyoung
This paper presents Coffee-Gym, a comprehensive RL environment for training models that provide feedback on code editing. Coffee-Gym includes two major components: (1) Coffee, a dataset containing humans' code edit traces for coding questions and mac
Externí odkaz:
http://arxiv.org/abs/2409.19715
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models
Bone marrow lesions (BMLs) are critical indicators of knee osteoarthritis (OA). Since they often appear as small, irregular structures with indistinguishable edges in knee magnetic resonance images (MRIs), effective detection of BMLs in MRI is vital
Externí odkaz:
http://arxiv.org/abs/2409.19185