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ORCID7th BigMM 2021: Taichung, Taiwan
- Seventh IEEE International Conference on Multimedia Big Data, BigMM 2021, Taichung, Taiwan, November 15-17, 2021. IEEE 2021, ISBN 978-1-6654-3414-0
- Jason Thies, Lukas Stappen, Gerhard Hagerer, Björn W. Schuller, Georg Groh:
GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts. 1-8 - Chih-Fan Hsu
, Chun-Ying Huang, Xin Liu:
Measuring Objective Visual Quality of Real-time Communication Systems in the Wild. 9-16 - Omkar N. Kulkarni, Vikram Patil, Vivek K. Singh, Pradeep K. Atrey:
Accuracy and Fairness in Pupil Detection Algorithm. 17-24 - Kunal Vaswani, Yudhik Agrawal, Vinoo Alluri:
Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation. 25-32 - Japa Sai Sharath, Banafsheh Rekabdar:
Memory Efficient Knowledge Base Question Answering with Chatbot Framework. 33-39 - Shintaro Ryuzaki, Kotaro Yashiro, Yohei Nakada:
Computational Method of Optimal Kick-pass Plays Considering Run Plays after Catches in Seven-a-side Rugby. 40-48 - Aijuan Dong, Xinlian Liu:
Automated Detection of Corona Cavities from SDO Images with YOLO. 49-56 - Aorui Gou, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan:
A-A KD: Attention and Activation Knowledge Distillation. 57-60 - Yanwei Liu, Ching-Wen Ma:
Improving Tiny YOLO with Fewer Model Parameters. 61-64 - Reshma Shaji:
Exploratory data analysis on Reddit data: An efficient pipeline for classification of flairs. 65-68 - Meng Jian, Jingjing Guo, Ye Xiang, Lifang Wu:
Counterfactual Embedding Learning for Debiased Recommendation†. 69-73 - Marcellus, Dyah Erny Herwindiati, Janson Hendryli:
Movie Poster Genre Classification with Convolutional Neural Network. 74-77
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