ACM ICMR BDI lab xDataPF algorithms journal
Welcome to the third ICDAR workshop, ACM ICMR 2022 Newark, NJ, USA, June 27-30, 2022

Workshop Program



Remarks:

Regular papers: 20 minutes presentation, 5 minutes Q&A

Short papers:15 minutes presentation, 5 minutes Q&A

Time: June 27, 2022, Local time, NJ, USA





9:15 - 9:30: Welcome from workshop organizers





9:30 - 10:30: Invited Talk



Title: Inferential machine learning

Speaker: Professor Hugo Hammer, OsloMet University and SimulaMet, Norway

Abstract:
The talk will discuss how concepts from statistical inference can extent and improve machine learning methodology, and likewise how machine learning can be used to improve traditional statistical inference. The suggested directions allow for better cross data understanding and in general can result in more trustworthy and reproducible methods.



10:30 - 10:50: Coffee break & Networking



10:50 - 12:40: Multimodal Data Analysis

Session Chair: Michael Riegler (Simula Metropolitan Center for Digital Engineering, Norway)



(R) Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis Video
Authors: Akriti Sharma, Mette Stensen, Erwan Delbarre, Trine Haugen and Hugo Hammer


(R) Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context Video
Authors: Tuan-Vinh La, Quang-Tien Tran, Thanh-Phuc Tran, Anh-Duy Tran, Duc-Tien Dang-Nguyen


(S) Tone Classification for Political Advertising Video using Multimodal Cues Video , Video 2
Authors: Anh-Khoa Vo and Yuta Nakashima


(S) A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data
Authors: Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hlne Amieva and Laura Middleton


(S) Predicting High-risk Congestion Areas During Heavy Rain Using Multi Prediction Model and Maximum Periodic Frequent Pattern Algorithms Video
Authors: Minh-Dang Tran and Nazmudeen Mohamed Saleem




12:45 - 14:00: Lunch & Networking





14:00 - 15:40: IoT, Education, and Privacy Preserving

Session Chair: Duc-Tien Dang-Nguyen (University of Bergen, Norway)



(R) IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities
Authors: Wenbin Gan, Koji Zettsu and Yuan Sun


(R) Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children
Authors: Pegah Salehi, Syed Zohaib Hassan, Saeed Shafiee Sabet, Gunn Astrid Baugerud, Miriam Sinkerud Johnson, Pl Halvorsen and Michael Alexander Riegler


(R) Towards Intellectual Property Rights Protection in Big Data
Authors: Rafik Hamza, Sadanori Ito and Zettsu Koji


(S) DeDigi: A Privacy-by-Design Platform for Image Forensics Efficient Resource Allocation using Federated Learning in Cellular Networks
Authors: Chi-Hao Tran, Quoc-Thang Tran, Quynh-Chau Long-Vu, Hai-Son Nguyen, Anh-Duy Tran and Duc-Tien Dang-Nguyen




15:40 - 16:00: Coffee break & Networking





16:00 - 16:45: Federated Learning

Session Chair: Minh-Son Dao (NICT, Japan)



(R) FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction
Authors: Khoa Tran, Do-Van Nguyen, Phuoc Van Nguyen Thi and Zettsu Koji


(S)Efficient Resource Allocation using Federated Learning in Cellular Networks
Authors: Son Cao Nguyen, Minh Hoang, Tinh Phuc Vo and Duc Ngoc Minh Dang




16:45 - 17:30: Panel

Session Chair: Michael Riegler (Simula Metropolitan Center for Digital Engineering, Norway)





17:30 - 17:45: Closing Remarks