CHAL-2.4
CONTAINER LOCALISATION AND MASS ESTIMATION WITH AN RGB-D CAMERA
Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro, University of Genoa, Italy
Session:
Audio-Visual Object Classification For Human-Robot Collaboration
Track:
Grand Challenge
Location:
Gather Area B
Presentation Time:
Sat, 7 May, 21:00 - 21:45 China Time (UTC +8)
Sat, 7 May, 13:00 - 13:45 UTC
Sat, 7 May, 13:00 - 13:45 UTC
Session Chair:
Alessio Xompero, Queen Mary University of London
Session CHAL-2
CHAL-2.1: AUDIO-VISUAL OBJECT CLASSIFICATION FOR HUMAN-ROBOT COLLABORATION
Alessio Xompero, Yik Lung Pang, Andrea Cavallaro, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Timothy Patten, University of Technology Sydney, Australia; Ahalya Prabhakar, École Polytechnique Fédérale de Lausanne, Switzerland; Berk Calli, Worcester Polytechnic Institute, United States of America
CHAL-2.2: SHARED TRANSFORMER ENCODER WITH MASK-BASED 3D MODEL ESTIMATION FOR CONTAINER MASS ESTIMATION
Tomoya Matsubara, Seitaro Otsuki, Yuiga Wada, Haruka Matsuo, Takumi Komatsu, Yui Iioka, Komei Sugiura, Hideo Saito, Keio University, Japan
CHAL-2.3: IMPROVING GENERALIZATION OF DEEP NETWORKS FOR ESTIMATING PHYSICAL PROPERTIES OF CONTAINERS AND FILLINGS
Hengyi Wang, University College London, United Kingdom of Great Britain and Northern Ireland; Chaoran Zhu, Changjae Oh, Queen Mary University of London, China; Ziyin Ma, University of Birmingham, United Kingdom of Great Britain and Northern Ireland
CHAL-2.4: CONTAINER LOCALISATION AND MASS ESTIMATION WITH AN RGB-D CAMERA
Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro, University of Genoa, Italy