MA-L.C1: Machine Learning for Image & Video Sensing
Mon, 17 Oct, 16:30 - 18:30 China Standard Time (UTC +8)
Mon, 17 Oct, 10:30 - 12:30 Central European Time (UTC +2)
Mon, 17 Oct, 08:30 - 10:30 UTC
Mon, 17 Oct, 04:30 - 06:30 Eastern Time (UTC -4)
Lecture
Location: Room C1
Session Chair: Moncef Gabbouj, Tampere University
Track: Applications of Machine Learning

MA-L.C1.1: A STUDY OF SHAPE MODELING AGAINST NOISE
Cheng Long, Adrian Barbu, Florida State University, United States of America

MA-L.C1.2: LEARNING TRAJECTORY-CONDITIONED RELATIONS TO PREDICT PEDESTRIAN CROSSING BEHAVIOR
Chen Zhou, Ghassan AlRegib, Georgia Institute of Technology, United States of America; Armin Parchami, Kunjan Singh, Ford Motor Company, United States of America

MA-L.C1.3: OBJECT-CENTRIC AND MEMORY-GUIDED NORMALITY RECONSTRUCTION FOR VIDEO ANOMALY DETECTION
Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Romaric Audigier, CEA, France; Michèle Gouiffès, CNRS, France

MA-L.C1.4: EXPLOITING SPATIAL SPARSITY FOR EVENT CAMERAS WITH VISUAL TRANSFORMERS
Zuowen Wang, Yuhuang Hu, Shih-Chii Liu, University of Zürich and ETH Zürich, Switzerland

MA-L.C1.5: TRANSFORMERS FOR WORKOUT VIDEO SEGMENTATION
Bruno Ferreira, Paulo Menezes, Jorge Batista, University of Coimbra, Portugal