no code implementations • 15 Feb 2024 • Xi Chen, Jinyang Sun, Xiumei Wang, Hengxuan Jiang, Dandan Zhu, Xingping Zhou
Non-Hermitian topological phases can produce some remarkable properties, compared with their Hermitian counterpart, such as the breakdown of conventional bulk-boundary correspondence and the non-Hermitian topological edge mode.
no code implementations • 25 Jul 2022 • Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao
In psychology, the \textit{Object-Appraisal-Emotion} model has demonstrated that each individual's emotion is affected by his/her subjective appraisal, which is further formed by the affective memory.
no code implementations • 24 Oct 2021 • Jingyuan Yang, Xinbo Gao, Leida Li, Xiumei Wang, Jinshan Ding
Inspired by this, we propose a novel Scene-Object interreLated Visual Emotion Reasoning network (SOLVER) to predict emotions from images.
no code implementations • 4 Sep 2021 • Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao
Then, we design three specific networks, i. e., Global-Net, Semantic-Net and Expression-Net, to extract distinct emotional features from different stimuli simultaneously.
no code implementations • CVPR 2021 • Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao
Visual Emotion Analysis (VEA) has attracted increasing attention recently with the prevalence of sharing images on social networks.
no code implementations • CVPR 2021 • Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao
Instead of considering iterative strategy, we make the blur kernel predictor trainable in the whole blind SR model, in which AMNet is well-trained.
no code implementations • 17 May 2021 • Andrey Ignatov, Andres Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Wang Bofei, Zhang Diankai, Zheng Chengjian, Liu Shaoli, Gao Si, Zhang Xiaofeng, Lu Kaidi, Xu Tianyu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services.
3 code implementations • 7 Feb 2020 • Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao
Besides, we devise a geometrical alignment constraint item to compensate for the pixel-based distance between prediction features and ground-truth ones.
Ranked #1 on Facial Inpainting on FFHQ
2 code implementations • 4 Nov 2019 • Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Lin-Lin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang
The challenge had 3 tracks.
4 code implementations • 26 Sep 2019 • Zheng Hui, Xinbo Gao, Yunchu Yang, Xiumei Wang
In recent years, single image super-resolution (SISR) methods using deep convolution neural network (CNN) have achieved impressive results.
Ranked #10 on Image Super-Resolution on Manga109 - 3x upscaling
1 code implementation • 24 Jul 2019 • Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang
In this paper, we propose a novel perceptual image super-resolution method that progressively generates visually high-quality results by constructing a stage-wise network.
Ranked #8 on Image Super-Resolution on Urban100 - 4x upscaling (SSIM metric)
no code implementations • 3 Oct 2018 • Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Liu Hanwen, Pablo Navarrete Michelini, Zhu Dan, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Nimisha Thekke Madam, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones.
2 code implementations • CVPR 2018 • Zheng Hui, Xiumei Wang, Xinbo Gao
Recently, deep convolutional neural networks (CNNs) have been demonstrated remarkable progress on single image super-resolution.
Ranked #4 on Image Super-Resolution on IXI