IVMSP-P23.4
Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging
Heunseung Lim, Jungkyoo Shin, Hyoungki Choi, Dohoon Kim, Eunwoo Kim, Joonki Paik, Chung-Ang University, Korea, Republic of
Session:
IVMSP-P23: Machine learning for image and video processing II Poster
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Poster Zone 1C
Poster Board PZ-1C.4
Poster Board PZ-1C.4
Presentation Time:
Fri, 19 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Guangtao Zhai, Shanghai Jiao Tong University
Session IVMSP-P23
IVMSP-P23.1: SIANet: Support Information-Aware Network for Category-Agnostic Pose Estimation
Haisheng Li, Beijing Technology and Business University Beijing, China; Fang Yuan, Beijing University of Technology, China
IVMSP-P23.2: A GUIDED UPSAMPLING NETWORK FOR SHORT WAVE INFRARED IMAGES USING GRAPH REGULARIZATION
Frank Sippel, Jürgen Seiler, André Kaup, Friedrich-Alexander-University Erlangen-Nuremberg, Germany
IVMSP-P23.3: SELF-TRAINING DOMAIN ADAPTATION VIA WEIGHT TRANSMISSION BETWEEN GENERATORS
Xing Wei, Zhaoxin Ji, Fan Yang, Chong Zhao, Bin Wen, Yang Lu, Hefei University of Technology, China
IVMSP-P23.4: Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging
Heunseung Lim, Jungkyoo Shin, Hyoungki Choi, Dohoon Kim, Eunwoo Kim, Joonki Paik, Chung-Ang University, Korea, Republic of
IVMSP-P23.5: A MULTISCALE OBJECTIVE FUNCTION FOR CAMERA COLOR CORRECTION
Bahador Rashidi, Kiarash Aghakasiri, Chao Gao, Huawei Canada Research Center, Canada; Shuting Zhang, Yue Zhang, Ying Liu, Fengyu Sun, Huawei Technologies, China
IVMSP-P23.6: EFFICIENT LEARNING ON SUCCESSIVE TEST TIME AUGMENTATION
Siyang Pan, Jiaqian Yu, Samsung Research China – Beijing (SRC-B), China; Dongwook Lee, Samsung Advanced Institute of Technology (SAIT), Korea, Republic of; Yiwei Chen, Chao Zhang, Qiang Wang, Samsung Research China – Beijing (SRC-B), China; ByungIn Yoo, Samsung Advanced Institute of Technology (SAIT), Korea, Republic of
IVMSP-P23.7: IMAGE HARMONIZATION Based on Hierarchical Dynamics
Liuxue Ju, Chengdao Pu, Jun Yu, University of Science and Technology of China, China; Wen Su, Zhejiang Sci-Tech University, China
IVMSP-P23.8: A new similarity-based relational knowledge distillation method
Xiaomeng Xin, Heping Song, Jiangsu University, China; Jianping Gou, Southwest University, China
IVMSP-P23.9: STEREO-MATCHING KNOWLEDGE DISTILLED MONOCULAR DEPTH ESTIMATION FILTERED BY MULTIPLE DISPARITY CONSISTENCY
Woonghyun Ka, Hyundai Motor Company, Korea, Republic of; Jae Young Lee, Jaehyun Choi, Junmo Kim, KAIST, Korea, Republic of
IVMSP-P23.10: UNLOCKING DEEP LEARNING: A BP-FREE APPROACH FOR PARALLEL BLOCK-WISE TRAINING OF NEURAL NETWORKS
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, XiongYe Xiao, Shahin Nazarian, Paul Bogdan, University of Southern California, United States of America
IVMSP-P23.11: OUTLIER-ROBUST FEATURE SELECTION WITH L2,1-NORM MINIMIZATION AND GROUP ROW-SPARSITY INDUCED CONSTRAINTS
Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China
IVMSP-P23.12: RadarDiff: Improving Sea Clutter Suppression using Diffusion Models for Radar images
Lingyu Si, Gang Li, Hongwei Dong, Changwen Zheng, Fanjiang Xu, Institute of Software, Chinese Academy of Sciences, China; Fuchun Sun, Tsinghua University, China
Contacts