Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Comments Accepted by ACM Multimedia 2022
期刊&会议
ACM International Conference on Multimedia · 会议 · Multimedia
Comments Accepted by ACM Multimedia 2022
Comments Accepted by ACM MM 2022
Comments ACM MM'22
Comments Accepted at ACMMM 2022
Comments Accepted by ACMMM 2022
Comments ACM-MM 2021, Code: https://github.com/lhaof/Robust-SR-against-Adversarial-Attacks
Journal ref Proceedings of the 29th ACM International Conference on Multimedia (2021) 5148-5157
Comments Accepted at ACMMM 2022
Comments Accepted by the 30th ACM International Conference on Multimedia (ACM MM 2022)
Comments Accepted at ACM MM 2022
Comments Accepted by ACM MM 2022
Comments Accepted by ACM MM 2022
Comments Accepted by ACM MM 2022
Comments Accepted to ACM Multimedia 2022
Comments Accepted by ACM Multimedia 2022
Comments Please cite this work as: Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang and Meng Wang, "FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022
Comments The paper is accepted by ACM Multimedia 2022
Comments Accepted by ACM Multimedia(MM) 2022, Project page: https://hpwang-whu.github.io/YOHO/
Comments Accepted by ACM Multimedia 2022, 10 pages, 4 figures
Comments ACM MM 2022
Comments This paper is accepted by ACM MM 2022
Comments Accepted in ACM MM 2022 Conference : Grand Challenges, "\c{opyright} {Owner/Author | ACM} {2022}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution
Comments 16 pages, 10 figures, ACM MULTIMEDIA 2022
Comments Accepted to ACM Multimedia 2022, code is available at https://github.com/donydchen/causal_emotion
Comments Accpeted to ACM MM 2022
Comments Accepted by ACM MM 2022
Comments Accepted by ACM MM 2022
Comments Accepted to ACM MM 2022
Comments 5 pages, 2 tables, MMRotate is accepted by ACM MM 2022 (OS Track). Yue Zhou and Xue Yang provided equal contribution. The code is publicly released at https://github.com/open-mmlab/mmrotate
Comments ACM Multimedia 2022
Comments ACM Multimedia 2022