Zobrazeno 1 - 10
of 275
pro vyhledávání: '"Luo, Ao"'
Autor:
Peng, Kunyu, Wen, Di, Yang, Kailun, Luo, Ao, Chen, Yufan, Fu, Jia, Sarfraz, M. Saquib, Roitberg, Alina, Stiefelhagen, Rainer
In Open-Set Domain Generalization (OSDG), the model is exposed to both new variations of data appearance (domains) and open-set conditions, where both known and novel categories are present at test time. The challenges of this task arise from the dua
Externí odkaz:
http://arxiv.org/abs/2409.17555
With the rise in popularity of portable devices, the spread of falsified media on social platforms has become rampant. This necessitates the timely identification of authentic content. However, most advanced detection methods are computationally heav
Externí odkaz:
http://arxiv.org/abs/2408.16582
Detecting objects seamlessly blended into their surroundings represents a complex task for both human cognitive capabilities and advanced artificial intelligence algorithms. Currently, the majority of methodologies for detecting camouflaged objects m
Externí odkaz:
http://arxiv.org/abs/2407.13133
In this paper, we propose a diffusion-based unsupervised framework that incorporates physically explainable Retinex theory with diffusion models for low-light image enhancement, named LightenDiffusion. Specifically, we present a content-transfer deco
Externí odkaz:
http://arxiv.org/abs/2407.08939
Autor:
Song, Linxin, Liu, Jiale, Zhang, Jieyu, Zhang, Shaokun, Luo, Ao, Wang, Shijian, Wu, Qingyun, Wang, Chi
Leveraging multiple large language model (LLM) agents has shown to be a promising approach for tackling complex tasks, while the effective design of multiple agents for a particular application remains an art. It is thus intriguing to answer a critic
Externí odkaz:
http://arxiv.org/abs/2405.19425
Autor:
Zhou, Tianhao, Li, Haipeng, Wang, Ziyi, Luo, Ao, Zhang, Chen-Lin, Li, Jiajun, Zeng, Bing, Liu, Shuaicheng
Image stitching from different captures often results in non-rectangular boundaries, which is often considered unappealing. To solve non-rectangular boundaries, current solutions involve cropping, which discards image content, inpainting, which can i
Externí odkaz:
http://arxiv.org/abs/2403.19164
Transformer-based models excel in various natural language processing (NLP) tasks, attracting countless efforts to explain their inner workings. Prior methods explain Transformers by focusing on the raw gradient and attention as token attribution sco
Externí odkaz:
http://arxiv.org/abs/2401.09972
Autor:
Liu, Di, Maimaitijiang, Remina, Gu, Jing, Zhong, Shuyi, Zhou, Mengping, Wu, Ziyue, Luo, Ao, Lu, Cong, Hao, Yuantao
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 9, p e13127 (2019)
BackgroundMany university students are lacking adequate physical exercise and are failing to develop physical activity (PA) behaviors in China. PA app use could improve this situation. ObjectiveThe aim of this study was to use the unified theory of
Externí odkaz:
https://doaj.org/article/24042dad06db4323a01892003cb1a4dc
Optical flow, or the estimation of motion fields from image sequences, is one of the fundamental problems in computer vision. Unlike most pixel-wise tasks that aim at achieving consistent representations of the same category, optical flow raises extr
Externí odkaz:
http://arxiv.org/abs/2309.16217
Autor:
Luo, Ao, Song, Linxin, Nonaka, Keisuke, Unno, Kyohei, Sun, Heming, Goto, Masayuki, Katto, Jiro
In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR on vehicles. This process results in numerous circular shapes and azi
Externí odkaz:
http://arxiv.org/abs/2308.12535