WP-V1.V6.9
COMPUTING CURVATURE, MEAN CURVATURE AND WEIGHTED MEAN CURVATURE
Yuanhao Gong, Shenzhen University, China
Session:
Multidimensional Processing
Track:
Multidimensional Signal Processing
Location:
Gather.Town 6
Presentation Time:
Wed, 5 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Wed, 5 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Wed, 5 Oct, 13:00 - 14:00 UTC
Wed, 5 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Wed, 5 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Wed, 5 Oct, 13:00 - 14:00 UTC
Wed, 5 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-V1.V6
WP-V1.V6.1: VARIATIONAL DEPTH ESTIMATION ON HYPERSPHERE FOR PANORAMA
Jingbo Miao, Kan Wang, University of Chinese Academy of Sciences, China; Yanwei Liu, Zhen Xu, Chinese Academy of Sciences, China; Jinxia Liu, Zhejiang Wanli University, China
WP-V1.V6.2: A SIMPLE SIAMESE FRAMEWORK FOR VIBRATION SIGNAL REPRESENTATIONS
Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Xiaotong Tu, Xiamen University, China; Saqlain Abbas, Department of Mechanical Engineering, University of Engineering and Technology(UET)Lahore( Narowal campus), Pakistan
WP-V1.V6.3: MULTI-BRANCH TENSOR NETWORK STRUCTURE FOR TENSOR-TRAIN DISCRIMINANT ANALYSIS
Seyyid Emre Sofuoglu, Meta Platforms Inc., United States of America; Selin Aviyente, Michigan State University, United States of America
WP-V1.V6.4: A Low-rank Tensor Bayesian Filter Framework for Multi-modal Analysis
Wenbin Yang, Zijia Wang, Jiacheng Ni, Qiang Chen, Zhen Jia, Dell Technologies, China
WP-V1.V6.5: MEASURING CLASS-IMBALANCE SENSITIVITY OF DETERMINISTIC PERFORMANCE EVALUATION METRICS
Azim Ahmadzadeh, Rafal A. Angryk, Georgia State University, United States of America
WP-V1.V6.6: VISUAL SOUND SOURCE SEPARATION WITH PARTIAL SUPERVISION LEARNING
Huasen Wang, Lingling Gao, Qianchao Tan, Luping Ji, University of Electronic Science and Technology of China, China
WP-V1.V6.7: GAUSSIAN DISTRIBUTED GRAPH CONSTRAINED MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR ORDINAL LABELED DATA
Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
WP-V1.V6.8: TOWARDS EFFICIENT VARIATIONAL AUTO-ENCODER USING WASSERSTEIN DISTANCE
Zichuan Chen, Washington University in St.Louis, United States of America; Peng Liu, Singapore Management University, Singapore
WP-V1.V6.9: COMPUTING CURVATURE, MEAN CURVATURE AND WEIGHTED MEAN CURVATURE
Yuanhao Gong, Shenzhen University, China
WP-V1.V6.10: SIMULTANEOUS SMOOTHING AND SHARPENING USING iWGIF
Zhengguo Li, Jinghong Zheng, J Senthilnath, Institute for Infocomm Research, A*Star, Singapore
WP-V1.V6.11: ILLUMINATION-AWARE STYLE TRANSFER FOR IMAGE HARMONIZATION
Teng Ren, Haitao Zhang, Beijing University of Posts and Telecommunications, China
WP-V1.V6.12: FUSIONCOUNT: EFFICIENT CROWD COUNTING VIA MULTISCALE FEATURE FUSION
Yiming Ma, Victor Sanchez, University of Warwick, United Kingdom of Great Britain and Northern Ireland; Tanaya Guha, University of Glasgow, United Kingdom of Great Britain and Northern Ireland
WP-V1.V6.13: FL0C: FAST L0 CUT PURSUIT FOR ESTIMATION OF PIECEWISE CONSTANT FUNCTIONS
Andreas Goerlitz, Michael Moeller, Andreas Kolb, University of Siegen, Germany
WP-V1.V6.14: GAUSSIAN FOURIER PYRAMID FOR LOCAL LAPLACIAN FILTER
Yuto Sumiya, Tomoki Otsuka, Yoshihiro Maeda, Norishige Fukushima, Nagoya Institute of Technology, Japan