IVMSP-23.2
A LIGHTWEIGHT SELF-SUPERVISED TRAINING FRAMEWORK FOR MONOCULAR DEPTH ESTIMATION
Tim Heydrich, Yimin Yang, Lakehead University, Canada; Shan Du, The University of British Columbia, Canada
Session:
Depth Estimation & Point Cloud Processing
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Tue, 10 May, 23:00 - 23:45 China Time (UTC +8)
Tue, 10 May, 15:00 - 15:45 UTC
Tue, 10 May, 15:00 - 15:45 UTC
Session Chair:
Chitralekha Gupta, National University of Singapore
Session IVMSP-23
IVMSP-23.1: A NOVEL LIGHTWEIGHT NETWORK FOR FAST MONOCULAR DEPTH ESTIMATION
Tim Heydrich, Yimin Yang, Lakehead University, Canada; Xiangyu Ma, Yu Liu, Tianjin University, China; Shan Du, The University of British Columbia, Canada
IVMSP-23.2: A LIGHTWEIGHT SELF-SUPERVISED TRAINING FRAMEWORK FOR MONOCULAR DEPTH ESTIMATION
Tim Heydrich, Yimin Yang, Lakehead University, Canada; Shan Du, The University of British Columbia, Canada
IVMSP-23.3: PU-REFINER: A GEOMETRY REFINER WITH ADVERSARIAL LEARNING FOR POINT CLOUD UPSAMPLING
Hao Liu, Hui Yuan, Shuai Li, Shandong University, China; Hamzaoui Raouf, De Montfort University, United Kingdom of Great Britain and Northern Ireland; Wei Gao, Peking University, China
IVMSP-23.4: CF-NET: COMPLEMENTARY FUSION NETWORK FOR ROTATION INVARIANT POINT CLOUD COMPLETION
Bo-Fan Chen, Yang-Ming Yeh, Yi-Chang Lu, National Taiwan University, Taiwan
IVMSP-23.5: TH-NET: A METHOD OF SINGLE 3D OBJECT TRACKING BASED ON TRANSFORMERS AND HAUSDORFF DISTANCE
Zihao Zhang, Nan Sang, Xupeng Wang, University of Electronic Science and Technology of China, China
IVMSP-23.6: ENRICH FEATURES FOR FEW-SHOT POINT CLOUD CLASSIFICATION
Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu, China University of Petroleum (East China), China