Zobrazeno 1 - 10
of 317
pro vyhledávání: '"Sun Zhenglong"'
Autor:
Chen, Pengcheng, Li, Wenhao, Gunderson, Nicole, Ruthberg, Jeremy, Bly, Randall, Abuzeid, Waleed M., Sun, Zhenglong, Seibel, Eric J.
The 3D reconstruction of the surgical field in minimally invasive endoscopic surgery has posed a formidable challenge when using conventional monocular endoscopes. Existing 3D reconstruction methodologies are frequently encumbered by suboptimal accur
Externí odkaz:
http://arxiv.org/abs/2410.04041
In the realm of healthcare, the challenges of copyright protection and unauthorized third-party misuse are increasingly significant. Traditional methods for data copyright protection are applied prior to data distribution, implying that models traine
Externí odkaz:
http://arxiv.org/abs/2403.17755
Diffusion Transformer (DiT) has emerged as the new trend of generative diffusion models on image generation. In view of extremely slow convergence in typical DiT, recent breakthroughs have been driven by mask strategy that significantly improves the
Externí odkaz:
http://arxiv.org/abs/2403.17004
Autor:
Zhu, Peipei, Wang, Xiao, Zhu, Lin, Sun, Zhenglong, Zheng, Weishi, Wang, Yaowei, Chen, Changwen
Unpaired Image Captioning (UIC) has been developed to learn image descriptions from unaligned vision-language sample pairs. Existing works usually tackle this task using adversarial learning and visual concept reward based on reinforcement learning.
Externí odkaz:
http://arxiv.org/abs/2205.13125
Autor:
Zhu, Peipei, Wang, Xiao, Luo, Yong, Sun, Zhenglong, Zheng, Wei-Shi, Wang, Yaowei, Chen, Changwen
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplished by leveraging a training set of images aligned with visual concept
Externí odkaz:
http://arxiv.org/abs/2203.03195
Autor:
Zhang, Jinghan, Xiao, Lei, Li, Xuejin, Chen, Xinghong, Wang, Yan, Hong, Xueming, Sun, Zhenglong, Shao, Yonghong, Chen, Yuzhi
Publikováno v:
In Microchemical Journal November 2024 206
Autor:
Yang, Zhenyu, Liu, Xianglong, Li, Xiaoliang, Abbate, Maurizio, Rui, Han, Guan, Miao, Sun, Zhenglong
Publikováno v:
In Heliyon 30 September 2024 10(18)
Publikováno v:
In Energy Reports June 2024 11:2141-2151
Publikováno v:
In International Journal of Electrical Power and Energy Systems June 2024 157
As a flexible passive 3D sensing means, unsupervised learning of depth from monocular videos is becoming an important research topic. It utilizes the photometric errors between the target view and the synthesized views from its adjacent source views
Externí odkaz:
http://arxiv.org/abs/2108.13062