24th October 2022 - 10:15-18:00 (IDT - UTC+3) (with lunch and coffee breaks)
| Time (IDT) | Event | Speaker/Presentation |
|---|---|---|
| 10:15-10:30 | Welcome | |
| 10:30-11:00 | Session I | Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition - Athanasios Psaltis*; Charalampos Z Patrikakis; Petros Daras |
| Spatio-Temporal Attention for Cloth-Changing ReID in Videos - Vaibhav Bansal*; Christian Micheloni; Gian Luca Foresti; Niki Martinel | ||
| CounTr: A Novel End-to-End Transformer Approach for Crowd Counting and Density Estimation - Haoyue Bai*; Hao He; Zhuoxuan Peng; Tianyuan Dai; S.-H. Gary Chan | ||
| 11:00-11:30 | Session II | On the Design of Privacy-Aware Cameras: A Study on Deep Neural Networks - Marcela Carvalho*; Oussama Ennafii; Sylvain Chateau; Samy Ait Bachir |
| RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training - Praveen Kumar Rajendran*; Sumit Mishra; Luiz Felipe Vecchietti; Dongsoo Har | ||
| Cross-Camera View-Overlap Recognition - Alessio Xompero*; Andrea Cavallaro | ||
| 11:30-12:30 | Invited Talk 1 | |
| 12:30-14:00 | Lunch Break | |
| 14:00-14:40 | Session III | Activity Monitoring Made Easier by Smart 360-Degree Cameras - Liliana Lo Presti*; Giuseppe Mazzola; Marco La Cascia |
| Seeing Objects in Dark with Continual Contrastive Learning - Ujjal Kr Dutta* | ||
| Towards Energy-Efficient Hyperspectral Image Processing inside Camera Pixels - Gourav Datta*; Zihan Yin; Ajey Jacob; Akhilesh Jaiswal; Peter A. Beerel | ||
| Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding - Stephen Su*; Samuel Kwong; Qingyu Zhao; De-An Huang; Juan Carlos Niebles; Ehsan Adeli | ||
| 14.40-15.00 | Coffee Break | |
| 15.00-16.00 | Invited Talk 2 | Haojin Yang from Hasso-Plattner-Institut-Applied Edge AI: Towards Efficient Deep Model Design and Multi-Edge Inference |
| 16.00-16.15 | Coffee Break | |
| 16.15-17.15 | Invited Talk 3 | Dima Damen from University of Bristol-Opportunities in Wearable (Egocentric) Computer Vision |
| 17.15-18.00 | Demo Session from Companies | Patrik Schmuck from Magic Leap |