WP-P.PZ1.2
Taxonomy Driven Learning of Semantic Hierarchy of Classes
Ranajoy Sadhukhan, Ankita Chatterjee, Jayanta Mukhopadhyay, Amit Patra, Indian Institute of Technology, Kharagpur, India
Session:
Machine Learning for Image & Video Sensing, Modeling, and Representation
Track:
Applications of Machine Learning
Location:
Poster Zone 1
Presentation Time:
Wed, 19 Oct, 22:00 - 00:30 China Standard Time (UTC +8)
Wed, 19 Oct, 16:00 - 18:30 Central European Time (UTC +2)
Wed, 19 Oct, 14:00 - 16:30 UTC
Wed, 19 Oct, 10:00 - 12:30 Eastern Time (UTC -4)
Wed, 19 Oct, 16:00 - 18:30 Central European Time (UTC +2)
Wed, 19 Oct, 14:00 - 16:30 UTC
Wed, 19 Oct, 10:00 - 12:30 Eastern Time (UTC -4)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-P.PZ1
WP-P.PZ1.1: FACE RECOGNITION FOR FISHEYE IMAGES
Yi-Cheng Lo, Chiao-Chun Huang, Yueh-Feng Tsai, I-Chan Lo, An-Yeu (Andy) Wu, Homer H. Chen, National Taiwan University, Taiwan
WP-P.PZ1.2: Taxonomy Driven Learning of Semantic Hierarchy of Classes
Ranajoy Sadhukhan, Ankita Chatterjee, Jayanta Mukhopadhyay, Amit Patra, Indian Institute of Technology, Kharagpur, India
WP-P.PZ1.3: DISTILLING FACIAL KNOWLEDGE WITH TEACHER-TASKS: SEMANTIC-SEGMENTATION-FEATURES FOR POSE-INVARIANT FACE-RECOGNITION
Ali Hassani, Zaid El Shair, Rafi Ud Duala Refat, Hafiz Malik, University of Michigan - Dearboorn, United States of America
WP-P.PZ1.4: EXPLORING THE SOLUTION SPACE OF LINEAR INVERSE PROBLEMS WITH GAN LATENT GEOMETRY
Antonio Montanaro, Diego Valsesia, Enrico Magli, Politecnico di Torino, Italy
WP-P.PZ1.5: BOOSTING THE PERFORMANCE OF WEAKLY-SUPERVISED 3D HUMAN POSE ESTIMATORS WITH POSE PRIOR REGULARIZERS
Lawrence Amadi, Gady Agam, Illinois Institute of Technology, United States of America
WP-P.PZ1.6: UTILIZING EXCESS RESOURCES IN TRAINING NEURAL NETWORKS
Amit Henig, Raja Giryes, Tel Aviv University, Israel
WP-P.PZ1.7: Dual-ERP Representation for Object Detection in 360° images
Miao Cao, Kiyoharu Aizawa, The University of Tokyo, Japan; Satoshi Ikehata, National Institute of Informatics, Japan
WP-P.PZ1.8: EXPLANATORY PARADIGMS IN NEURAL NETWORKS
Ghassan AlRegib, Mohit Prabhushankar, Georgia Institute of Technology, United States of America