I am currently a second-year Ph.D student in Department of Artificial Intelligence, School of Informatics, Xiamen University, advised by Prof. Rongrong Ji and Prof. Xiaoshuai Sun .
My recent research interests are in (2D/3D) vision-and-language learning and AIGC.
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun✉, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji
Image Captioning via Dynamic Path Customization IEEE Transactions on Neural Networks and Learning System (TNNLS), 2024 [PDF] [ArXiv] [Code] |
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Yiwei Ma, Yijun Fan, Jiayi Ji, Haowei Wang, Xiaoshuai Sun✉, Guannan Jiang, Annan Shu, Rongrong Ji
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation ACM Transactions on Multimedia Computing, Communications, and Applications (ToMM), 2024 [arXiv] [Code] [Project Page] |
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun✉, Yiyi Zhou, Rongrong Ji
Towards Local Visual Modeling for Image Captioning Pattern Recognition (PR), 2023 [PDF] [ArXiv] [Code] |
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Yiwei Ma, Jiayi Ji, Xiaoshuai Sun✉, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji
Knowing what it is: Semantic-enhanced Dual Attention Transformer IEEE Transactions on Multimedia (TMM), 2022 [PDF] [Code] |
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Jiayi Ji, Yiwei Ma (co-frist author), Xiaoshuai Sun✉, Yiyi Zhou, Yongjian Wu, Rongrong Ji
Knowing What to Learn: A Metric-oriented Focal Mechanism for Image Captioning IEEE Transactions on Image Processing (TIP), 2022 [PDF] [Code] |
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Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun✉, Rongrong Ji
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing Conference on Neural Information Processing Systems (NeurIPS), 2024 [arXiv] [Code] |
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Yiwei Ma, Zhekai Lin, Jiayi Ji, Yijun Fan, Xiaoshuai Sun✉, Rongrong Ji
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation International Conference on Machine Learning (ICML), 2024 [arXiv] [Code] [Project Page] |
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Yiwei Ma, Xiaoqing Zhang, Xiaoshuai Sun✉, Jiayi Ji, Haowei Wang, Guannan Jiang, Weilin Zhuang, Rongrong Ji
X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance IEEE International Conference on Computer Vision (ICCV), 2023 [PDF] [arXiv] [Code] [Project Page] |
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Yiwei Ma, Guohai Xu, Xiaoshuai Sun✉, Ming Yan, Ji Zhang, Rongrong Ji
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval ACM International Conference on Multimedia (ACM MM), 2022 （Cite: 200+） [PDF] [arXiv] [Code] [Project Page] |
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Yiwei Ma, Xiaoshuai Sun✉, Jiayi Ji, Guannan Jiang, Weilin Zhuang, Rongrong Ji
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval ACM International Conference on Multimedia (ACM MM), 2023 [PDF] [Code] [Project Page] |
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Zhipeng Qian, Yiwei Ma (co-frist author), Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun✉, Rongrong Ji
Multi-branch Collaborative Learning Network for 3D Visual Grounding European Conference on Computer Vision (ECCV), 2024 [arXiv] [Code] |
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Sihan Liu, Yiwei Ma (co-frist author), Xiaoqing Zhang, Haowei Wang, Jiayi Ji✉, Xiaoshuai Sun, Rongrong Ji
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation Computer Vision and Pattern Recognition Conference (CVPR), 2024 [arXiv] [Code] |
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Changli Wu, Yiwei Ma (co-frist author), Qi Chen, Haowei Wang, Gen Luo, Jiayi Ji✉, Xiaoshuai Sun
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation AAAI Conference on Artificial Intelligence (AAAI), 2024 [arXiv] [Code] [PDF] |
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Zhipeng Qian, Yiwei Ma (co-frist author), Jiayi Ji, Xiaoshuai Sun ✉
X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks AAAI Conference on Artificial Intelligence (AAAI), 2024 [Code] [PDF] |
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Qi Chen, Changli Wu, Jiayi Ji, Yiwei Ma, Danni Yang, Xiaoshuai Sun✉
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation AAAI Conference on Artificial Intelligence (AAAI), 2025 |
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Changli Wu, Qi Chen, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji✉
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation Conference on Neural Information Processing Systems (NeurIPS), 2024 Oral (Top 0.46%) [PDF] [arXiv] [Code] |
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Changli Wu, Yihang Liu, Jiayi Ji, Yiwei Ma, Haowei Wang, Gen Luo, Henghui Ding, Xiaoshuai Sun, Rongrong Ji✉
3D-GRES: Generalized 3D Referring Expression Segmentation ACM International Conference on Multimedia (ACM MM), 2024, Oral (Top 3.97%) [arXiv] [Code] |
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Danni Yang, Ruohan Dong, Jiayi Ji, Yiwei Ma, Haowei Wang, Xiaoshuai Sun✉, Rongrong Ji
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model European Conference on Computer Vision (ECCV), 2024 [arXiv] [Code] |
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Danni Yang , Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang, Xiaoshuai Sun✉, Rongrong Ji
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation International Conference on Machine Learning (ICML), 2024, Oral (Top 1.52%) [arXiv] [Code] |
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Tianyu Guo, Haowei Wang, Yiwei Ma, Jiayi Ji ✉, Xiaoshuai Sun
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation AAAI Conference on Artificial Intelligence (AAAI), 2024 [Code] [PDF] |
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Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F Wong, Xiaoshuai Sun ✉, Rongrong Ji
AnyTrans: Translate AnyText in the Image with Large Scale Models Conference on Empirical Methods in Natural Language Processing (EMNLP, Findings), 2024 [arXiv] |
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Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun✉, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation ACM International Conference on Multimedia (ACM MM), 2023 [PDF] [arXiv] [Code] |
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Danni Yang, Jiayi Ji✉, Xiaoshuai Sun, Haowei Wang, Yinan Li, Yiwei Ma, Rongrong Ji
Semi-Supervised Panoptic Narrative Grounding ACM International Conference on Multimedia (ACM MM), 2023 [PDF] [arXiv] [Code] |
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External-Attention-pytorch Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers. [github ] (11400+ stars) |
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