Comparison of the polishing effects of polyetheretherketone materials under different chairside polishing systems

Autor: LIU Hengyan, LIU Yuchen, LI Kangjie, TIAN Min, NIU Lina, BAI Shizhu, FANG Ming

Publikováno v: 口腔疾病防治, Vol 31, Iss 12, Pp 844-854 (2023)

Objective The polishing effects of different compositions of chairside polishing systems on polyetheretherketone (PEEK) were compared to provide a reference for the rational selection of polishing systems for this material in clinical settings. Metho

Externí odkaz: https://doaj.org/article/8dc60fc6959540a3bd6d6a4aa3f2d5f6

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Autor: Pérez-Pellitero, Eduardo, Catley-Chandar, Sibi, Shaw, Richard, Leonardis, Aleš, Timofte, Radu, Zhang, Zexin, Liu, Cen, Peng, Yunbo, Lin, Yue, Yu, Gaocheng, Zhang, Jin, Ma, Zhe, Wang, Hongbin, Chen, Xiangyu, Wang, Xintao, Wu, Haiwei, Liu, Lin, Dong, Chao, Zhou, Jiantao, Yan, Qingsen, Zhang, Song, Chen, Weiye, Liu, Yuhang, Zhang, Zhen, Zhang, Yanning, Shi, Javen Qinfeng, Gong, Dong, Zhu, Dan, Sun, Mengdi, Chen, Guannan, Hu, Yang, Li, Haowei, Zou, Baozhu, Liu, Zhen, Lin, Wenjie, Jiang, Ting, Jiang, Chengzhi, Li, Xinpeng, Han, Mingyan, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Marín-Vega, Juan, Sloth, Michael, Schneider-Kamp, Peter, Röttger, Richard, Li, Chunyang, Bao, Long, He, Gang, Xu, Ziyao, Xu, Li, Zhan, Gen, Sun, Ming, Wen, Xing, Li, Junlin, Li, Jinjing, Li, Chenghua, Gang, Ruipeng, Li, Fangya, Liu, Chenming, Feng, Shuang, Lei, Fei, Liu, Rui, Ruan, Junxiang, Dai, Tianhong, Li, Wei, Lu, Zhan, Liu, Hengyan, Huang, Peian, Ren, Guangyu, Luo, Yonglin, Liu, Chang, Tu, Qiang, Ma, Sai, Cao, Yizhen, Tel, Steven, Heyrman, Barthelemy, Ginhac, Dominique, Lee, Chul, Kim, Gahyeon, Park, Seonghyun, Vien, An Gia, Mai, Truong Thanh Nhat, Yoon, Howoon, Vo, Tu, Holston, Alexander, Zaheer, Sheir, Park, Chan Y.

Publikováno v: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set

Externí odkaz: http://arxiv.org/abs/2205.12633

Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection

Autor: Ren, Guangyu, Yu, Yinxiao, Liu, Hengyan, Stathaki, Tania

RGB-D salient object detection (SOD) demonstrates its superiority on detecting in complex environments due to the additional depth information introduced in the data. Inevitably, an independent stream is introduced to extract features from depth imag

Externí odkaz: http://arxiv.org/abs/2106.09517

Episodic Self-Imitation Learning with Hindsight

Autor: Dai, Tianhong, Liu, Hengyan, Bharath, Anil Anthony

Episodic self-imitation learning, a novel self-imitation algorithm with a trajectory selection module and an adaptive loss function, is proposed to speed up reinforcement learning. Compared to the original self-imitation learning algorithm, which sam

Externí odkaz: http://arxiv.org/abs/2011.13467

Super-resolved Localisation without Identifying LoS/NLoS Paths

Autor: Liu, Hengyan, Dai, Wei, Shen, Yuan

This paper focuses on the problem of localising a transmitting mobile station (MS) using multiple cooperative base stations (BSs). There are two technical difficulties: one is the data association between intermediate parameters and scatters; the oth

Externí odkaz: http://arxiv.org/abs/1910.12662