8:30: Opening Remarks
8:30 - 9:15: Keynote 1: “Seeing More with Lidar: Distance, Reflectivity, and Velocity Imaging from Single Photons”, J.Rapp (Mitsubishi Electric Research Laboratories) - chair L.Marcenaro
9:15 – 10:15: Oral session 1 – chair L.Marcenaro
9:15 - 9:30: “Generative XR Transfer Learning for Real Traffic Object Detection”, Kuan-Ting Lai, Yan-Zhen Chen, Chi-Ting Liu, Ying-You Lin, Tzu-Hsin Liu, Kai-Ming Hu, Yi-Ju Hsiung, National Taipei University of Technology, Taiwan
9:30 – 9:45: “Dynamic Object Detection for Autonomous Vehicles Using Multi-Modal Knowledge Distillation”, Vishnudatta Thota, Tushar Sandhan, Indian Institute of Technology Kanpur
9:45 – 10:00: “Semantic Property Maps for Driving Applications”, Marcus Greiff, Ray Zhang, Takeru Shirasawa, John Subosits, Toyota Research Institute
10:00 - 10:30: Coffee Break
10:30 – 11:15: Keynote 2: “Bridging the Synthetic-to-Real Gap: Neural Rendering for Scalable Autonomous Vehicle Simulation”, Tamás Matuszka, aiMotive - chair M.Greiff
11:15 – 12:00: Oral session 2 - chair M.Greiff
11:15 – 11:30: “Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation”, Alexandros Gkillas, AVISENSE.AI, Ioulia Kapsali, Industrial Systems Institute, Nikos Piperigkos, AVISENSE.AI, Aris Lalos, Industrial Systems Institute
11:30 - 11:45: “Video latent state optimization in switching models for autonomous agent trajectory prediction”, Abrham Shiferaw Alemaw, Pamela Zontone, Lucio Marcenaro, Carlo S. Regazzoni, University of Genoa, Italy
11:45 – 12:00: “Deep Features based on Contrastive Fusion of Transformer and CNN for Semantic Segmentation”, Margi Pandya, National Institute of Technology, Tiruchirappalli, Tushar Sandhan, Indian Institute of Technology, Kanpur
12:00: Conclusions