Titlebook: Computer Vision – ACCV 2020; 15th Asian Conferenc Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi Conference proceedings 2021 Springer Nature Swi

太平間

書目名稱Computer Vision – ACCV 2020影響因子(影響力)




書目名稱Computer Vision – ACCV 2020影響因子(影響力)學(xué)科排名




書目名稱Computer Vision – ACCV 2020網(wǎng)絡(luò)公開度




書目名稱Computer Vision – ACCV 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision – ACCV 2020被引頻次




書目名稱Computer Vision – ACCV 2020被引頻次學(xué)科排名




書目名稱Computer Vision – ACCV 2020年度引用




書目名稱Computer Vision – ACCV 2020年度引用學(xué)科排名




書目名稱Computer Vision – ACCV 2020讀者反饋




書目名稱Computer Vision – ACCV 2020讀者反饋學(xué)科排名

neutral-posture

Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network tasks. However, these methods are usually computationally expensive, which constrains their application in mobile scenarios. In addition, most of the existing methods rarely take full advantage of the intermediate features which are helpful for restoration. To address these issues, we propose a mod

incisive

Second-Order Camera-Aware Color Transformation for Cross-Domain Person Re-identificationD remains a challenging task. The performance of ReID model trained on the labeled dataset (source) is often inferior on the new unlabeled dataset (target), due to large variation in color, resolution, scenes of different datasets. Therefore, unsupervised person ReID has gained a lot of attention du

燈絲

CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation of video compressive sensing. Firstly, explicit multi-hypothesis motion compensation is applied in our network to extract correlation information of adjacent frames (as shown in Fig.?.), which improves the recover performance. And then, a residual module further narrows down the gap between reconst

FRAUD

啪心兒跳動

啪心兒跳動

石墨

athlete’s-foot

Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallaxtructing ghosting-free HDR images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion, disparity, and occlusions, leading to visible artifacts using existing methods. In this paper, we propose a Pyramidal Alignment and Masked merging netwo

人工制品

Low-Light Color Imaging via Dual Camera Acquisitiono devise a dual camera system using a high spatial resolution (HSR) monochrome camera and another low spatial resolution (LSR) color camera for synthesizing the high-quality color image under low-light illumination conditions. The key problem is how to efficiently learn and fuse cross-camera informa