ACM MM

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks

Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Comments ACM MM 2023

Facial Prior Based First Order Motion Model for Micro-expression Generation

Yi Zhang, Youjun Zhao, Yuhang Wen, Zixuan Tang, Xinhua Xu, Mengyuan Liu

Comments ACM Multimedia 2021

DocDiff: Document Enhancement via Residual Diffusion Models

Zongyuan Yang, Baolin Liu, Yongping Xiong, Lan Yi, Guibin Wu, Xiaojun Tang, Ziqi Liu, Junjie Zhou, Xing Zhang

Comments Accepted by ACM Multimedia 2023

Digging into Depth Priors for Outdoor Neural Radiance Fields

Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

Comments Accepted to ACM MM 2023. Project Page: https://cwchenwang.github.io/outdoor-nerf-depth

Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination

Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen

Comments Accepted at ACM MM 2023

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval

Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen

Comments Accepted at ACM Multimedia 2023

Multimodal Color Recommendation in Vector Graphic Documents

Qianru Qiu, Xueting Wang, Mayu Otani

Comments Accepted to ACM MM 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation

Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu

Comments Accepted by ACM MM'2023;The source codes are available at https://github.com/LiuZhu-CV/PAIF

Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning

Jiahang Zhang, Lilang Lin, Jiaying Liu

Comments Accepted by ACM Multimedia 2023

Screen-based 3D Subjective Experiment Software

Songlin Fan, Wei Gao

Comments Accepted to ACM Multimedia 2023

Feature Decoupling-Recycling Network for Fast Interactive Segmentation

Huimin Zeng, Weinong Wang, Xin Tao, Zhiwei Xiong, Yu-Wing Tai, Wenjie Pei

Comments Accepted to ACM MM 2023

Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement

Zhenhua Ning, Zhuotao Tian, Guangming Lu, Wenjie Pei

Comments Accepted to ACM MM 2023

Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion

Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian

Journal ref ACM MM 2023

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao

Comments ACM MM 2023 (camera ready). Codes and models are publicly available at https://github.com/sunlicai/MAE-DFER

Mamba: Bringing Multi-Dimensional ABR to WebRTC

Yueheng Li, Zicheng Zhang, Hao Chen, Zhan Ma

Comments In Proceedings of the 31st ACM International Conference on Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 9 pages

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu

Comments Accepted to ACMMM 2023

Bilevel Generative Learning for Low-Light Vision

Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu

Comments Accepted by ACM MM'2023, The code will be available at https://github.com/Yingchi1998/BGL

Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation

Xingxing Yang, Jie Chen, Zaifeng Yang

Comments Accepted by ACMMM 2023

A Four-Pronged Defense Against Byzantine Attacks in Federated Learning

Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin

Comments This paper has been accepted by the 31st ACM International Conference on Multimedia (MM '23)

Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing

Junyi Zeng, Chong Bao, Rui Chen, Zilong Dong, Guofeng Zhang, Hujun Bao, Zhaopeng Cui

Comments Accepted to ACM Multimedia 2023. Project Page: https://zju3dv.github.io/Mirror-NeRF/

Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion

Jiawei Li, Jiansheng Chen, Jinyuan Liu, Huimin Ma

Comments 9 pages, 10 figures, ACM MM 2023

Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models

Zheng Ma, Mianzhi Pan, Wenhan Wu, Kanzhi Cheng, Jianbing Zhang, Shujian Huang, Jiajun Chen

Comments Accepted at ACM Multimedia (ACMMM) 2023

Semantic-Guided Feature Distillation for Multimodal Recommendation

Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli

Comments ACM Multimedia 2023 Accepted

Journal ref In Proceedings of the 31st ACM International Conference on Multimedia (MM '23), 2023

M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition

Hao Tang, Jun Liu, Shuanglin Yan, Rui Yan, Zechao Li, Jinhui Tang

Comments Accepted by ACM MM 2023

Recurrent Spike-based Image Restoration under General Illumination

Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang

Comments Accepted by ACM MM 2023

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang

Comments To appear in ACM Multimedia 2023

General Debiasing for Multimodal Sentiment Analysis

Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie

Comments Accepted at ACM MM 2023

Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner

Zikang Liu, Sihan Chen, Longteng Guo, Handong Li, Xingjian He, Jing Liu

Comments 12 pages. Accepted by ACM MM '23

ChinaOpen: A Dataset for Open-world Multimodal Learning

Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li

Comments Accepted by ACMMM 2023

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions

Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li

Comments Accepted at ACM Multimedia 2023 (MM 2023). 11 pages, 4 figures, and 89 references