Technique Report of CVPR 2024 PBDL Challenges

Autor: Fu, Ying, Li, Yu, You, Shaodi, Shi, Boxin, Chen, Linwei, Zou, Yunhao, Wang, Zichun, Li, Yichen, Han, Yuze, Zhang, Yingkai, Wang, Jianan, Liu, Qinglin, Yu, Wei, Lv, Xiaoqian, Li, Jianing, Zhang, Shengping, Ji, Xiangyang, Chen, Yuanpei, Zhang, Yuhan, Peng, Weihang, Zhang, Liwen, Xu, Zhe, Gou, Dingyong, Li, Cong, Xu, Senyan, Zhang, Yunkang, Jiang, Siyuan, Lu, Xiaoqiang, Jiao, Licheng, Liu, Fang, Liu, Xu, Li, Lingling, Ma, Wenping, Yang, Shuyuan, Xie, Haiyang, Zhao, Jian, Huang, Shihua, Cheng, Peng, Shen, Xi, Wang, Zheng, An, Shuai, Zhu, Caizhi, Li, Xuelong, Zhang, Tao, Li, Liang, Liu, Yu, Yan, Chenggang, Zhang, Gengchen, Jiang, Linyan, Song, Bingyi, An, Zhuoyu, Lei, Haibo, Luo, Qing, Song, Jie, Liu, Yuan, Li, Qihang, Zhang, Haoyuan, Wang, Lingfeng, Chen, Wei, Luo, Aling, Li, Cheng, Cao, Jun, Chen, Shu, Dou, Zifei, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Gou, Xuejian, Wang, Qinliang, Liu, Yang, Zhao, Shizhan, Zhang, Yanzhao, Yan, Libo, Guo, Yuwei, Li, Guoxin, Gao, Qiong, Che, Chenyue, Sun, Long, Chen, Xiang, Li, Hao, Pan, Jinshan, Xie, Chuanlong, Chen, Hongming, Li, Mingrui, Deng, Tianchen, Huang, Jingwei, Li, Yufeng, Wan, Fei, Xu, Bingxin, Cheng, Jian, Liu, Hongzhe, Xu, Cheng, Zou, Yuxiang, Pan, Weiguo, Dai, Songyin, Jia, Sen, Zhang, Junpei, Chen, Puhua

The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to inform and enhance deep learning models, we can develop more robust and ac

Externí odkaz: http://arxiv.org/abs/2406.10744

P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation

Autor: Zhang, Qi, Geng, Guohua, Yan, Longquan, Zhou, Pengbo, Li, Zhaodi, Li, Kang, Liu, Qinglin

Diffusion models and multi-scale features are essential components in semantic segmentation tasks that deal with remote-sensing images. They contribute to improved segmentation boundaries and offer significant contextual information. U-net-like archi

Externí odkaz: http://arxiv.org/abs/2405.20443

Dual-Context Aggregation for Universal Image Matting

Autor: Liu, Qinglin, Lv, Xiaoqian, Yu, Wei, Guo, Changyong, Zhang, Shengping

Publikováno v: Multimed Tools Appl (2023)

Natural image matting aims to estimate the alpha matte of the foreground from a given image. Various approaches have been explored to address this problem, such as interactive matting methods that use guidance such as click or trimap, and automatic m

Externí odkaz: http://arxiv.org/abs/2402.18109

A Quinary Coding and Matrix Structure-based Channel Hopping Algorithm for Blind Rendezvous in Cognitive Radio Networks

Autor: Liu, Qinglin, Lin, Zhiyong, Wei, Zongheng, Wen, Jianfeng, Yi, Congming, Liu, Hai

The multi-channel blind rendezvous problem in distributed cognitive radio networks (DCRNs) refers to how users in the network can hop to the same channel at the same time slot without any prior knowledge (i.e., each user is unaware of other users' in

Externí odkaz: http://arxiv.org/abs/2208.10867

Highly dispersed Ni on defective carbon with metal-support interaction for efficient and selective cinnamaldehyde hydrogenation

Autor: Sheng, Qiang, Wang, Yuanyuan, Zhang, Pengfang, Jiang, Yan, Zhang, Jing, Liu, Qinglin, Chang, Qian, Yao, Yue, Liao, Xiaoyuan, Li, Zhen, Lyu, Shuxiang, Qin, Yuchen

Publikováno v: In Applied Surface Science 1 September 2024 666