ACMMM 2024 Conference Submissions

Advancing Semantic Edge Detection through Cross-Modal Knowledge Learning
Ruoxi Deng, Bin Yu, Jinxuan Lu, Caixia Zhou, Zhao-Min Chen, Jie Hu
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
TAVGBench: Benchmarking Text to Audible-Video Generation
Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning
Jiacheng Zhang, Jie Wu, Huafeng Kuang, Haiming Zhang, Yuxi Ren, Weifeng Chen, Manlin Zhang, Xuefeng Xiao, Rui Wang, Shilei Wen, Guanbin Li
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Unleashing the Power of Generic Segmentation Model: A Simple Baseline for Infrared Small Target Detection
Mingjin Zhang, Chi Zhang, Qiming Zhang, Yunsong Li, Xinbo Gao, Jing Zhang
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Masked Random Noise for Communication-Efficient Federated Learning
Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, weihongluo, Yuhua Li, Dugang Liu, xiuqiang He, Ruixuan Li
- Published: 20 Jul 2024, Last Modified: 05 Aug 2024
- MM2024 Poster
- Readers: Everyone
Label Decoupling and Reconstruction: A Two-Stage Training Framework for Long-tailed Multi-label Medical Image Recognition
Jie Huang, Zhao-Min Chen, Xiaoqin Zhang, YisuGe, Lusi Ye, Guodao Zhang, Huiling Chen
- Published: 20 Jul 2024, Last Modified: 06 Aug 2024
- MM2024 Poster
- Readers: Everyone
Introducing Common Null Space of Gradients for Gradient Projection Methods in Continual Learning
Chengyi Yang, Mingda Dong, Xiaoyue Zhang, Jiayin Qi, Aimin Zhou
- Published: 20 Jul 2024, Last Modified: 06 Aug 2024
- MM2024 Poster
- Readers: Everyone
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Exploring Data Efficiency in Image Restoration: A Gaussian Denoising Case Study
Zhengwei Yin, Mingze MA, Guixu Lin, Yinqiang Zheng
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
Xihong Yang, Erxue Min, KE LIANG, Yue Liu, Siwei Wang, sihang zhou, Huijun Wu, Xinwang Liu, En Zhu
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
KNN Transformer with Pyramid Prompts for Few-Shot Learning
Wenhao Li, Qiangchang Wang, peng zhao, Yilong Yin
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
COMD: Training-free Video Motion Transfer With Camera-Object Motion Disentanglement
Teng Hu, Jiangning Zhang, Ran Yi, Yating Wang, Jieyu Weng, Hongrui Huang, Yabiao Wang, Lizhuang Ma
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline
Tianqi Wei, Zhi Chen, Zi Huang, Xin Yu
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Semantic-Aware and Quality-Aware Interaction Network for Blind Video Quality Assessment
Jianjun Xiang, Yuanjie Dang, Peng Chen, Ronghua Liang, Ruohong Huan, Nan Gao
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models
Peiming Li, Ziyi Wang, Mengyuan Liu, Hong Liu, Chen Chen
- Published: 20 Jul 2024, Last Modified: 30 Jul 2024
- MM2024 Oral
- Readers: Everyone
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis
Weizhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
Chaomin Shen, Yaomin Huang, HaoKun Zhu, Jinsong Fan, Guixu Zhang
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing
Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia
- Published: 20 Jul 2024, Last Modified: 01 Aug 2024
- MM2024 Poster
- Readers: Everyone
Bi-directional Task-Guided Network for Few-Shot Fine-Grained Image Classification
Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang, Tai Zheng, Xin Luo, Xin-Shun Xu
- Published: 20 Jul 2024, Last Modified: 05 Aug 2024
- MM2024 Poster
- Readers: Everyone
A Multilevel Guidance-Exploration Network and Behavior-Scene Matching Method for Human Behavior Anomaly Detection
Guoqing Yang, Zhiming Luo, Jianzhe Gao, Yingxin Lai, Kun Yang, Yifan He, Shaozi Li
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Overcoming the Pitfalls of Vision-Language Model for Image-Text Retrieval
Feifei Zhang, Sijia Qu, Fan Shi, Changsheng Xu
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Reverse2Complete: Unpaired Multimodal Point Cloud Completion via Guided Diffusion
Wenxiao Zhang, Hossein Rahmani, Xun Yang, Jun Liu
- Published: 20 Jul 2024, Last Modified: 06 Aug 2024
- MM2024 Poster
- Readers: Everyone
Hypergraph-guided Intra- and Inter-category Relation Modeling for Fine-grained Visual Recognition
Lu Chen, Qiangchang Wang, Zhaohui Li, Yilong Yin
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Organ Segmentation
Yuran Wang, Zhijing Wan, Yansheng Qiu, Zheng Wang
- Published: 20 Jul 2024, Last Modified: 21 Jul 2024
- MM2024 Poster
- Readers: Everyone
Reproducing the Past: A Dataset for Benchmarking Inscription Restoration
Shipeng Zhu, Hui Xue, Na Nie, Chenjie Zhu, Haiyue Liu, Pengfei Fang
- Published: 20 Jul 2024, Last Modified: 05 Aug 2024
- MM2024 Oral
- Readers: Everyone