导读 论文Content and Gradient Model-driven Deep Network for Single Image Reflection Removal发表在多媒体顶级会议ACM MM 2022上，由深圳大学计算机与软件学院计算机视觉所完成。该工作针对单图像反射移除任务提出了一个内容和梯度引导的深度展开网络。该方法结合了模型驱动和数据驱动的优点，不仅能够保持较好的反射移除性...
论文Content and Gradient Model-driven Deep Network for Single Image Reflection Removal发表在多媒体顶级会议ACM MM 2022上,由深圳大学计算机与软件学院计算机视觉所完成。 该工作针对单图像反射移除任务提出了一个内容和梯度引导的深度展开网络。该方法结合了模型驱动和数据驱动的优点,不仅能够保持较好的反射移除性能,而...
ACM Multimedia 2022 calls for research papers presenting novel theoretical and algorithmic solutions to address problems across multimedia and related application fields. The conference also calls for papers presenting novel, thought-provoking ideas and promising (preliminary) results in realizing these ideas...
ACM Multimedia 2022 calls for research papers presenting novel theoretical and algorithmic solutions to address problems across multimedia and related application fields. The conference also calls for papers presenting novel, thought-provoking ideas and promising (pr...
ACM Multimedia(简称 ACM MM)始于 1993 年,是国际多媒体领域学术和产业界交流的最顶级盛会,也是中国计算机学会推荐的多媒体领域唯一的 A 类国际学术会议。视频理解预训练挑战赛(Pre-training For Video Understanding Challenge)是其举办的重要赛事之一。 在本次比赛中,第四范式 AutoX 团队使用了一种新的时域多尺度预...
Past:Proceedings onDBLP Future:Post a CFP for2022 or later All CFPs on WikiCFP EventWhenWhereDeadline MM 2021The 29th ACM International Conference on Multimedia Oct 20, 2021 - Oct 24, 2021Chengdu, ChinaApr 3, 2021 (Mar 27, 2021)
本文介绍一篇于计算机领域顶级会议ACM MM 2020发表的论文《SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition》,该研究提出了一种基于注意力机制的3D DenseNet对多媒体刺激产生的情感脑电信号进行分类,该模型在统一的框架下同时提取数据中的空间、频率、时间特征;并...
Past:Proceedings onDBLP Future:Post a CFP for2026 or later All CFPs on WikiCFP EventWhenWhereDeadline MMSYS 2025ACM Multimedia Systems Conference Mar 31, 2025 - Apr 3, 2025Stellenbosch, South AfricaSep 27, 2024 (Sep 20, 2024) MMSys 2022ACM Conference on Multimedia Systems ...
Learnability Enhancement for Low-light Raw Denoising: A Data Perspective (fenghansen.github.io)fenghansen.github.io/publication/PMN/ 本文是我们入选ACM MM 2022 Best Paper Runner-up Award的工作。 PMN是"Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modelin...
github.com/gimpong/MM23 1. 背景 序列推荐是一个自回归的预测任务:根据用户的历史行为(如浏览)序列,预测用户下一个行为,如可能浏览的物品。典型的序列推荐模型(如 SASRec[4]、BERT4Rec[5]等)大部分基于 ID 和类目等信息学习物品和用户行为序列的表征,存在以下问题: 1. 少见物品的表征学习欠拟合,具体表现是...