BigMM

Publications

2023

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

2022

2021