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ORCIDInternational Journal of Multimedia Information Retrieval, Volume 14
Volume 14, Number 1, March 2025
- Qiuhong Tian, Weilun Miao, Lizao Zhang, Ziyu Yang, Yang Yu, Yanying Zhao, Lan Yao:
STCA: an action recognition network with spatio-temporal convolution and attention. 1 - Fan Yang, Nor Azman Ismail, Pang Yee Yong, Alhuseen Omar Alsayed:
CAMIR: fine-tuning CLIP and multi-head cross-attention mechanism for multimodal image retrieval with sketch and text features. 2 - Hao Wen, Ziqian Lu, Fengli Shen, Zheming Lu, Jia-Lin Cui:
Improving skeleton-based action recognition with interactive object information. 3 - Ziyong Lin, Xiaolong Jiang, Jie Zhang, Mingyong Li:
Dual-matrix guided reconstruction hashing for unsupervised cross-modal retrieval. 4 - Hao Chen, Wu Huang, Tao Zhang
:
Optimized RT-DETR for accurate and efficient video object detection via decoupled feature aggregation. 5 - Zhong Ji, Yuanheng Liu, Xuan Wang, Jingren Liu, Jiale Cao, YunLong Yu:
Multi-task classification network for few-shot learning. 6 - Changqin Huang, Zhenheng Lin, Zhongmei Han, Qionghao Huang, Fan Jiang, Xiaodi Huang:
PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis. 7 - Digambar Pawar, Raghavendra Gowda, Krishna Chandra:
Image forgery classification and localization through vision transformers. 8 - Lixia Xue, Jiang Dong, Ronggui Wang, Juan Yang:
MFAFD: a few-shot learning method for cascading models with parameter free attention and finite discrete space. 9 - Qiang Zhang, Qin Shi, Teng Cheng, Junning Zhang, Jiong Chen:
VPC-VoxelNet: multi-modal fusion 3D object detection networks based on virtual point clouds. 10
Volume 14, Number 2, June 2025
- Weichen Zhao, Yuxing Lu, Zhiyuan Liu, Yuan Yang, Ge Jiao:
Cross-modal alignment with synthetic caption for text-based person search. 11 - Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku:
DMFNet: geometric multi-scale pixel-level contrastive learning for video salient object detection. 12 - Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin:
Concept-based and embedding-based models in lifelog retrieval: an empirical comparison of performance. 13
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