Zobrazeno 1 - 10
of 1 778
pro vyhledávání: '"Deng, Ping"'
Autor:
Sun, Yasheng, Li, Bohan, Zhuge, Mingchen, Fan, Deng-Ping, Khan, Salman, Khan, Fahad Shahbaz, Koike, Hideki
Recent breakthroughs in understanding the human brain have revealed its impressive ability to efficiently process and interpret human thoughts, opening up possibilities for intervening in brain signals. In this paper, we aim to develop a straightforw
Externí odkaz:
http://arxiv.org/abs/2408.07317
Autor:
Alkayas, Abdulaziz Y., Mathew, Anup Teejo, Feliu-Talegon, Daniel, Deng, Ping, Thuruthel, Thomas George, Renda, Federico
Soft robots offer remarkable adaptability and safety advantages over rigid robots, but modeling their complex, nonlinear dynamics remains challenging. Strain-based models have recently emerged as a promising candidate to describe such systems, howeve
Externí odkaz:
http://arxiv.org/abs/2405.12959
We consider the problem of private multiple linear computation (PMLC) over a replicated storage system with colluding and unresponsive constraints. In this scenario, the user wishes to privately compute $P$ linear combinations of $M$ files from a set
Externí odkaz:
http://arxiv.org/abs/2404.09165
Autor:
Gong, Cheng, Zheng, Haoshuai, Hu, Mengting, Lin, Zheng, Fan, Deng-Ping, Zhang, Yuzhi, Li, Tao
Publikováno v:
CAAI Artificial Intelligence Research, 2024
Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error that hinder model deployment. In this paper, we propose Bias Compensation (BC) to
Externí odkaz:
http://arxiv.org/abs/2404.01892
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
Autor:
Zhao, Pancheng, Xu, Peng, Qin, Pengda, Fan, Deng-Ping, Zhang, Zhicheng, Jia, Guoli, Zhou, Bowen, Yang, Jufeng
Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a major bottleneck that the species category of its datasets is limited
Externí odkaz:
http://arxiv.org/abs/2404.00292
Estimating reliable geometric model parameters from the data with severe outliers is a fundamental and important task in computer vision. This paper attempts to sample high-quality subsets and select model instances to estimate parameters in the mult
Externí odkaz:
http://arxiv.org/abs/2403.06444
Autor:
Jiang, Yao, Yan, Xinyu, Ji, Ge-Peng, Fu, Keren, Sun, Meijun, Xiong, Huan, Fan, Deng-Ping, Khan, Fahad Shahbaz
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the model's effectiveness in both specialized and general tasks warrants further investigation. This paper e
Externí odkaz:
http://arxiv.org/abs/2403.04306
Autor:
Zhang, Hong-Bin, Tang, Deng-Ping
In a large population, the agents temporally form group of the Public Goods Game (PGG) one after another, and size of one group is randomly distributed at $g\in [g_l,g_h]$. Players in it have two strategies to be chosen to cooperate, or to defect for
Externí odkaz:
http://arxiv.org/abs/2402.16317
The estimation of implicit cross-frame correspondences and the high computational cost have long been major challenges in video semantic segmentation (VSS) for driving scenes. Prior works utilize keyframes, feature propagation, or cross-frame attenti
Externí odkaz:
http://arxiv.org/abs/2401.15261
Autor:
Zheng, Peng, Gao, Dehong, Fan, Deng-Ping, Liu, Li, Laaksonen, Jorma, Ouyang, Wanli, Sebe, Nicu
We introduce a novel bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS). It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral
Externí odkaz:
http://arxiv.org/abs/2401.03407