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pro vyhledávání: '"A. A. Chow"'
As Graph Neural Networks (GNNs) become increasingly popular for learning from large-scale graph data across various domains, their susceptibility to adversarial attacks when using graph reduction techniques for scalability remains underexplored. In t
Externí odkaz:
http://arxiv.org/abs/2412.05883
Large language models (LLMs) are increasingly used in applications where LLM inputs may span many different tasks. Recent work has found that the choice of LLM is consequential, and different LLMs may be good for different input samples. Prior approa
Externí odkaz:
http://arxiv.org/abs/2412.04692
Autor:
Su, Haoran, Chow, Joseph Y. J.
Emergency response times are critical in densely populated urban environments like New York City (NYC), where traffic congestion significantly impedes emergency vehicle (EMV) mobility. This study introduces an intersection-aware emergency medical ser
Externí odkaz:
http://arxiv.org/abs/2412.04369
Autor:
Bai, Jinbin, Chow, Wei, Yang, Ling, Li, Xiangtai, Li, Juncheng, Zhang, Hanwang, Yan, Shuicheng
We present HumanEdit, a high-quality, human-rewarded dataset specifically designed for instruction-guided image editing, enabling precise and diverse image manipulations through open-form language instructions. Previous large-scale editing datasets o
Externí odkaz:
http://arxiv.org/abs/2412.04280
Autor:
Zhang, Junyuan, Zhang, Qintong, Wang, Bin, Ouyang, Linke, Wen, Zichen, Li, Ying, Chow, Ka-Ho, He, Conghui, Zhang, Wentao
Retrieval-augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge to reduce hallucinations and incorporate up-to-date information without retraining. As an essential part of RAG, external knowledge bases are
Externí odkaz:
http://arxiv.org/abs/2412.02592
Autor:
Ngeow, Chow-Choong, Cheng, Chia-Yu
We complement the $y$-band template light curves for RR Lyrae to the well-established template light curves in the $ugriz$-band, where the latter have been adopted in the astroML/gatspy python package as one of the period-search methods for RR Lyrae.
Externí odkaz:
http://arxiv.org/abs/2412.00644
Autor:
Yu, Qifan, Chow, Wei, Yue, Zhongqi, Pan, Kaihang, Wu, Yang, Wan, Xiaoyang, Li, Juncheng, Tang, Siliang, Zhang, Hanwang, Zhuang, Yueting
Instruction-based image editing aims to modify specific image elements with natural language instructions. However, current models in this domain often struggle to accurately execute complex user instructions, as they are trained on low-quality data
Externí odkaz:
http://arxiv.org/abs/2411.15738
Foundation models that bridge vision and language have made significant progress, inspiring numerous life-enriching applications. However, their potential for misuse to introduce new threats remains largely unexplored. This paper reveals that vision-
Externí odkaz:
http://arxiv.org/abs/2411.14937
As object detection becomes integral to many safety-critical applications, understanding its vulnerabilities is essential. Backdoor attacks, in particular, pose a significant threat by implanting hidden backdoor in a victim model, which adversaries c
Externí odkaz:
http://arxiv.org/abs/2411.14243
Image shadow removal is a typical low-level vision problem, where the presence of shadows leads to abrupt changes in brightness in certain regions, affecting the accuracy of upstream tasks. Current shadow removal methods still face challenges such as
Externí odkaz:
http://arxiv.org/abs/2411.03260