Zobrazeno 1 - 10
of 187 268
pro vyhledávání: '"P, Lan"'
Autor:
Lan, Shulin, Liu, Kanlin, Zhao, Yazhou, Yang, Chen, Wang, Yingchao, Yao, Xingshan, Zhu, Liehuang
Current passive deepfake face-swapping detection methods encounter significance bottlenecks in model generalization capabilities. Meanwhile, proactive detection methods often use fixed watermarks which lack a close relationship with the content they
Externí odkaz:
http://arxiv.org/abs/2411.14798
Spin masers with optical detection and artificial feedback are widely used in fundamental and practical applications. However, a full picture of the maser dynamics is still absent. By solving the feedback driven Bloch equations, we simulated the dyna
Externí odkaz:
http://arxiv.org/abs/2411.13930
Autor:
Lan, Qing-Yu, Piao, Yun-Song
In this paper, we present a wavefunction of the universe, which correspond to an Euclidean charged wineglass (half)-wormholes semiclassically, as a possible creation for our inflationary universe. We calculate the Euclidean action of the charged worm
Externí odkaz:
http://arxiv.org/abs/2411.13844
Night-to-Day translation (Night2Day) aims to achieve day-like vision for nighttime scenes. However, processing night images with complex degradations remains a significant challenge under unpaired conditions. Previous methods that uniformly mitigate
Externí odkaz:
http://arxiv.org/abs/2411.14504
Publikováno v:
Medical Image Understanding and Analysis (MIUA), Lecture Notes in Computer Science, Springer, vol. 14859, 2024
Accurate brain tumor segmentation remains a challenging task due to structural complexity and great individual differences of gliomas. Leveraging the pre-eminent detail resilience of CRF and spatial feature extraction capacity of V-net, we propose a
Externí odkaz:
http://arxiv.org/abs/2411.14418
Autor:
Nguyen, Christopher, Nguyen, William, Suzuki, Atsushi, Oku, Daisuke, Phan, Hong An, Dinh, Sang, Nguyen, Zooey, Ha, Anh, Raghavan, Shruti, Vo, Huy, Nguyen, Thang, Nguyen, Lan, Hirayama, Yoshikuni
Large Language Models (LLMs) have demonstrated the potential to address some issues within the semiconductor industry. However, they are often general-purpose models that lack the specialized knowledge needed to tackle the unique challenges of this s
Externí odkaz:
http://arxiv.org/abs/2411.13802
Autor:
Kokane, Shirley, Zhu, Ming, Awalgaonkar, Tulika, Zhang, Jianguo, Hoang, Thai, Prabhakar, Akshara, Liu, Zuxin, Lan, Tian, Yang, Liangwei, Tan, Juntao, Murthy, Rithesh, Yao, Weiran, Liu, Zhiwei, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silivo
Evaluating the output of Large Language Models (LLMs) is one of the most critical aspects of building a performant compound AI system. Since the output from LLMs propagate to downstream steps, identifying LLM errors is crucial to system performance.
Externí odkaz:
http://arxiv.org/abs/2411.13547
Autor:
Wang, Kuiran, Yu, Xuehui, Yu, Wenwen, Li, Guorong, Lan, Xiangyuan, Ye, Qixiang, Jiao, Jianbin, Han, Zhenjun
Single object tracking(SOT) relies on precise object bounding box initialization. In this paper, we reconsidered the deficiencies in the current approaches to initializing single object trackers and propose a new paradigm for single object tracking a
Externí odkaz:
http://arxiv.org/abs/2411.13183
Autor:
Sun, Shenglan, Wang, Fei, Zhang, Huawei, Xue, Xiang-Xiang, Huang, Yang, Zhang, Ruizhi, Rix, Hans-Walter, Li, Xinyi, Liu, Gaochao, Zhang, Lan, Yang, Chengqun, Zhang, Shuo
Motivated by the vast gap between photometric and spectroscopic data volumes, there is great potential in using 5D kinematic information to identify and study substructures of the Milky Way. We identify substructures in the Galactic halo using 46,575
Externí odkaz:
http://arxiv.org/abs/2411.13122
Autor:
Chen, Xu, Cheng, Zida, Pan, Yuangang, Xiao, Shuai, Liu, Xiaoming, Lan, Jinsong, Liu, Qingwen, Tsang, Ivor W.
Existing click-through rate (CTR) prediction works have studied the role of feature interaction through a variety of techniques. Each interaction technique exhibits its own strength, and solely using one type could constrain the model's capability to
Externí odkaz:
http://arxiv.org/abs/2411.13057