Zobrazeno 1 - 10
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pro vyhledávání: '"Shim P"'
Recently, we have observed that Large Multi-modal Models (LMMs) are revolutionizing the way machines interact with the world, unlocking new possibilities across various multi-modal applications. To adapt LMMs for downstream tasks, parameter-efficient
Externí odkaz:
http://arxiv.org/abs/2411.00029
This paper explores how non-experts can teach robots desired skills in their environments. We argue that natural language is an intuitive and accessible interface for robot learning. To this end, we investigate two key aspects: (1) how non-experts co
Externí odkaz:
http://arxiv.org/abs/2411.00508
Autor:
Kislay, Kaustubh, Singh, Shlok, Joshi, Soham, Dutta, Rohan, Flint, Jay Shim George, Zhu, Kevin
Symbolic Regression remains an NP-Hard problem, with extensive research focusing on AI models for this task. Transformer models have shown promise in Symbolic Regression, but performance suffers with smaller datasets. We propose applying k-fold cross
Externí odkaz:
http://arxiv.org/abs/2410.21896
The sufficiency of accurate data is a core element in data-centric geotechnics. However, geotechnical datasets are essentially uncertain, whereupon engineers have difficulty with obtaining precise information for making decisions. This challenge is m
Externí odkaz:
http://arxiv.org/abs/2410.22659
Visual text design plays a critical role in conveying themes, emotions, and atmospheres in multimodal formats such as film posters and album covers. Translating these visual and textual elements across languages extends the concept of translation bey
Externí odkaz:
http://arxiv.org/abs/2410.18823
Autor:
Kim, Yongjung, Kim, Minjin, Im, Myungshin, Chang, Seo-Won, Jeong, Mankeun, Byun, Woowon, Kim, Joonho, Kim, Dohyeong, Shim, Hyunjin, Song, Hyunmi
We present a catalog of unobscured QSO candidates in the southern hemisphere from the early interim data of the KMTNet Synoptic Survey of Southern Sky (KS4). The KS4 data covers $\sim2500\,{\rm deg}^{2}$ sky area, reaching 5$\sigma$ detection limits
Externí odkaz:
http://arxiv.org/abs/2410.17187
Autor:
Shim, Ryan Soh-Eun, Plank, Barbara
There is increasing interest in looking at dialects in NLP. However, most work to date still treats dialects as discrete categories. For instance, evaluative work in variation-oriented NLP for English often works with Indian English or African-Americ
Externí odkaz:
http://arxiv.org/abs/2410.14589
This paper introduces an innovative application of foundation models, enabling Unmanned Ground Vehicles (UGVs) equipped with an RGB-D camera to navigate to designated destinations based on human language instructions. Unlike learning-based methods, t
Externí odkaz:
http://arxiv.org/abs/2410.10577
Autor:
Kim, Sang Min, Kim, Byeongchan, Sehanobish, Arijit, Choromanski, Krzysztof, Shim, Dongseok, Dubey, Avinava, Oh, Min-hwan
Improving the efficiency and performance of implicit neural representations in 3D, particularly Neural Radiance Fields (NeRF) and Signed Distance Fields (SDF) is crucial for enabling their use in real-time applications. These models, while capable of
Externí odkaz:
http://arxiv.org/abs/2410.09771
Autor:
Lee, Seungwook, Azhari, Maulana Bisyir, Kang, Gyuree, Günes, Ozan, Han, Donghun, Shim, David Hyunchul
We present an integrated UAV-hexapod robotic system designed for GNSS-denied maritime operations, capable of autonomous deployment and retrieval of a hexapod robot via a winch mechanism installed on a UAV. This system is intended to address the chall
Externí odkaz:
http://arxiv.org/abs/2410.09606