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ORCID9th BigMM 2023: Laguna Hills, CA, USA
- Ninth IEEE Multimedia Big Data, BigMM 2023, Laguna Hills, CA, USA, December 11-13, 2023. IEEE 2023, ISBN 979-8-3503-6000-4
- Alfredo Cuzzocrea:
Big OLAP Data Cube Compression Algorithms in Column-Oriented Cloud/Edge Data Infrastructures. 1-2 - Yi Zhao, Yanchun Li:
SSG-Net: A novel Text-to-Painting AI artwork generator enables illustrating of the step-by-step painting process. 3-10 - Hibiki Sakabe, Yohei Nakada:
Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball. 11-18 - Yusuke Sawada, Yohei Nakada:
Improvement of Retrieval Process for Similar Outfit Portraits in Prototype Fashion Chatbot. 19-26 - Shunsuke Takagi, Yohei Nakada:
Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input. 27-31 - Sanaz Hasanzadeh Fard:
Machine Learning on Dynamic Graphs: A Survey on Applications. 32-39 - Sidharth Anand
, Naresh Kumar Devulapally, Sreyasee Das Bhattacharjee, Junsong Yuan, Yu-Ping Chang:
AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations. 40-47 - Sanaz Hasanzadeh Fard, Mohammad Ghassemi:
Temporal Link Prediction Using Graph Embedding Dynamics. 48-55 - Zunhao Zhang, Zhenhao Chen, Yifan Shen, Dayan Guan, Alex C. Kot:
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation. 56-63 - Matheus Eduardo dos Santos, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio Jr.:
Cross-Attention Vision Transformer for Few-Shot Semantic Segmentation. 64-71 - Yagmur Sahin, Mustafa Sert:
Action Recognition in Videos using 3D ConvNets with Multi-head Attention. 72-77 - Saketh Kilaru, Anushka Shah, Swoichha Adhikari:
Enhancing Classification in UTD-MHAD Dataset: Utilizing Recurrent Neural Networks in Ensemble-Based Approach for Human Action Recognition. 78-83
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