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pro vyhledávání: '"Wang, Kevin A"'
Lightweight, single-use explosion containment structures provide an effective solution for neutralizing rogue explosives, combining affordability with ease of transport. This paper introduces a three-stage simulation framework that captures the disti
Externí odkaz:
http://arxiv.org/abs/2412.04647
Autor:
Chen, Chunlu, Liu, Ji, Tan, Haowen, Li, Xingjian, Wang, Kevin I-Kai, Li, Peng, Sakurai, Kouichi, Dou, Dejing
While recent years have witnessed the advancement in big data and Artificial Intelligence (AI), it is of much importance to safeguard data privacy and security. As an innovative approach, Federated Learning (FL) addresses these concerns by facilitati
Externí odkaz:
http://arxiv.org/abs/2411.01583
Autor:
Gupta, Pranav, Rengarajan, Rishabh, Bankapur, Viren, Mannem, Vedansh, Ahuja, Lakshit, Vijay, Surya, Wang, Kevin
Publikováno v:
Curieux Academic Journal Part 2 Issue 43 (2024), pp. 626-634
Combining LiDAR and Camera-view data has become a common approach for 3D Object Detection. However, previous approaches combine the two input streams at a point-level, throwing away semantic information derived from camera features. In this paper we
Externí odkaz:
http://arxiv.org/abs/2410.11211
Recent advancements in Large Language Models (LLMs) have showcased their ability to perform complex reasoning tasks, but their effectiveness in planning remains underexplored. In this study, we evaluate the planning capabilities of OpenAI's o1 models
Externí odkaz:
http://arxiv.org/abs/2409.19924
Autor:
Ye, Xiaozhou, Wang, Kevin I-Kai
Human Activity Recognition (HAR) plays a crucial role in various applications such as human-computer interaction and healthcare monitoring. However, challenges persist in HAR models due to the data distribution differences between training and real-w
Externí odkaz:
http://arxiv.org/abs/2408.03353
Autor:
Scheie, A. O., Lee, Minseong, Wang, Kevin, Laurell, P., Choi, E. S., Pajerowski, D., Zhang, Qingming, Ma, Jie, Zhou, H. D., Lee, Sangyun, Thomas, S. M., Ajeesh, M. O., Rosa, P. F. S., Chen, Ao, Zapf, Vivien S., Heyl, M., Batista, C. D., Dagotto, E., Moore, J. E., Tennant, D. Alan
We report neutron scattering, pressure-dependent AC calorimetry, and AC magnetic susceptibility measurements of triangular lattice NaYbSe$_2$. We observe a continuum of scattering, which is reproduced by matrix product simulations, and no phase trans
Externí odkaz:
http://arxiv.org/abs/2406.17773
Inertial Measurement Unit (IMU) sensors are widely employed for Human Activity Recognition (HAR) due to their portability, energy efficiency, and growing research interest. However, a significant challenge for IMU-HAR models is achieving robust gener
Externí odkaz:
http://arxiv.org/abs/2406.18569
Autor:
Biderman, Stella, Schoelkopf, Hailey, Sutawika, Lintang, Gao, Leo, Tow, Jonathan, Abbasi, Baber, Aji, Alham Fikri, Ammanamanchi, Pawan Sasanka, Black, Sidney, Clive, Jordan, DiPofi, Anthony, Etxaniz, Julen, Fattori, Benjamin, Forde, Jessica Zosa, Foster, Charles, Hsu, Jeffrey, Jaiswal, Mimansa, Lee, Wilson Y., Li, Haonan, Lovering, Charles, Muennighoff, Niklas, Pavlick, Ellie, Phang, Jason, Skowron, Aviya, Tan, Samson, Tang, Xiangru, Wang, Kevin A., Winata, Genta Indra, Yvon, François, Zou, Andy
Effective evaluation of language models remains an open challenge in NLP. Researchers and engineers face methodological issues such as the sensitivity of models to evaluation setup, difficulty of proper comparisons across methods, and the lack of rep
Externí odkaz:
http://arxiv.org/abs/2405.14782
Autor:
Fan, Zhiwen, Wen, Kairun, Cong, Wenyan, Wang, Kevin, Zhang, Jian, Ding, Xinghao, Xu, Danfei, Ivanovic, Boris, Pavone, Marco, Pavlakos, Georgios, Wang, Zhangyang, Wang, Yue
While neural 3D reconstruction has advanced substantially, it typically requires densely captured multi-view data with carefully initialized poses (e.g., using COLMAP). However, this requirement limits its broader applicability, as Structure-from-Mot
Externí odkaz:
http://arxiv.org/abs/2403.20309
Human Activity Recognition (HAR) is a cornerstone of ubiquitous computing, with promising applications in diverse fields such as health monitoring and ambient assisted living. Despite significant advancements, sensor-based HAR methods often operate u
Externí odkaz:
http://arxiv.org/abs/2403.15424