TP1.L305.5
SELF-SUPERVISED LEARNING FOR SCANNED HALFTONE CLASSIFICATION WITH NOVEL AUGMENTATION TECHNIQUES
Jing-Ming Guo, Sankarasrinivasan Seshathiri, National Taiwan University of Science and Technology, Taiwan
Session:
TP1.L305: Multi-image and Sensor Fusion Lecture
Track:
Computational Imaging Methods and Models
Location:
Room 305
Presentation Time:
Tue, 10 Oct, 15:42 - 16:00 Malaysia Time (UTC +8)
Session Chair:
Jens-Rainer Ohm, RWTH Aachen
Session TP1.L305
TP1.L305.1: NTRANS-NET: A MULTI-SCALE NEUTROSOPHIC-UNCERTAINTY GUIDED TRANSFORMER NETWORK FOR INDOOR DEPTH COMPLETION
Akshat Ramachandran, Ankit Dhiman, Basavaraja Shanthappa Vandrotti, Samsung Research Institute, India; Jooyoung Kim, Samsung Electronics, Korea, Republic of
TP1.L305.2: DEPTH ESTIMATION OF MULTI-MODAL SCENE BASED ON MULTI-SCALE MODULATION
Anjie Wang, Peking University, China; Zhijun Fang, Donghua University, China; Xiaoyan Jiang, Yongbin Gao, Shanghai University of Engineering Science, China; Gaofeng Cao, Siwei Ma, Peking University, China
TP1.L305.3: IMAGE STITCHING BASED ON MULTI-SCALE MESHES
Yixuan Li, Dalian University of Technology, China; Haotian Zhao, Peking University, China; Qi Jia, Dalian University of Technology, China; Nan Pu, University of Trento, Italy
TP1.L305.4: ONLINE PEDESTRIAN TRACKING USING A DENSE FISHEYE CAMERA NETWORK WITH EDGE COMPUTING
Tsaipei Wang, Sheng-Ho Chiang, National Yang Ming Chiao Tung University, Taiwan
TP1.L305.5: SELF-SUPERVISED LEARNING FOR SCANNED HALFTONE CLASSIFICATION WITH NOVEL AUGMENTATION TECHNIQUES
Jing-Ming Guo, Sankarasrinivasan Seshathiri, National Taiwan University of Science and Technology, Taiwan
Contacts