HP-V1.V5.13
DEKRv2: More Accurate or Fast than DEKR
Wentao Chao, Fuqing Duan, Peng Du, Wanning Zhu, Tianyuan Jia, Deqi Li, Beijing Normal University, China
Session:
Machine Learning for 3D Image and Video Processing
Track:
Applications of Machine Learning
Location:
Gather.Town 5
Presentation Time:
Thu, 6 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Thu, 6 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Thu, 6 Oct, 13:00 - 14:00 UTC
Thu, 6 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Thu, 6 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Thu, 6 Oct, 13:00 - 14:00 UTC
Thu, 6 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session HP-V1.V5
HP-V1.V5.1: DEPTH-COOPERATED TRIMODAL NETWORK FOR VIDEO SALIENT OBJECT DETECTION
Yukang Lu, Dingyao Min, Keren Fu, Qijun Zhao, Sichuan University, China
HP-V1.V5.2: SRK-NET: LEARNING TO DETECT REPEATABLE KEYPOINTS WITH LOCAL SALIENCY KNOWLEDGE
Yujie Fu, Zheng Rong, Yihong Wu, Institute of Automation, Chinese Academy of Sciences, China
HP-V1.V5.3: Does Physical Interpretability of Observation Map Improve Photometric Stereo Networks?
Satoshi Ikehata, National Institute of Informatics, Japan
HP-V1.V5.4: RETHINKING UNIFIED SPECTRAL-SPATIAL-BASED HYPERSPECTRAL IMAGE CLASSIFICATION UNDER 3D CONFIGURATION OF VISION TRANSFORMER
Weilian Zhou, Sei-ichiro Kamata, Zhengbo Luo, Xi Xue, Waseda University, Japan
HP-V1.V5.5: REDUCED DEPENDENCY FAST UNSUPERVISED 3D FACE RECONSTRUCTION
Hitika Tiwari, Indian Institute of Technology Kanpur & National Yang Ming Chiao Tung University, India; Venkatesh K. Subramanian, Indian Institute of Technology Kanpur, India
HP-V1.V5.6: SPATIO-TEMPORAL ATTENTION GRAPH FOR MONOCULAR 3D HUMAN POSE ESTIMATION
Lijun Zhang, Zhenghao Li, Xiang-Dong Zhou, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences/Chongqing School, University of Chinese Academy of Sciences, China; Xiaohu Shao, Yu Shi, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China
HP-V1.V5.7: Implicit Shape Biased Few-Shot Learning for 3D Object Generalization
Shitala Prasad, Yiqun Li, Dongyun Lin, Aiyuan Guo, A*Star, Singapore
HP-V1.V5.8: HOLOGRAM SUPER-RESOLUTION USING DUAL-GENERATOR GAN
Minkyu Jee, Hakdong Kim, Cheongwon Kim, Sejong University, Korea, Republic of; Minsung Yoon, Electronics and Telecommunications Research Institute, Korea, Republic of
HP-V1.V5.9: Robust calibration-marker and laser-line detection for underwater 3D shape reconstruction by Deep Neural Network
Hanbin Wang, Takafumi Iwaguchi, Hiroshi Kawasaki, Kyushu university, Japan
HP-V1.V5.10: A LIGHTWEIGHT NETWORK WITH MULTI-STAGE FEATURE FUSION MODULE FOR SINGLE-VIEW 3D FACE RECONSTRUCTION
Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, Ming Yang, Nanjing Normal University, China
HP-V1.V5.11: EXPLORING OCCLUSION-SENSITIVE DEEP NETWORK FOR SINGLE-VIEW 3D FACE RECONSTRUCTION
Jing Wang, Shikun Zhang, Ge Song, Ming Yang, Nanjing Normal University, China; Fengyi Song, Nanjing University of Science and Technology, China
HP-V1.V5.12: ACCURATE HEAD POSE ESTIMATION BASED ON MULTI-STAGE REGRESSION
Yinchuan Liu, Yufei Gong, Xuetao Zhang, Xi'an Jiaotong University, China; Lu Zheng, China Academy of Space Technology, China
HP-V1.V5.13: DEKRv2: More Accurate or Fast than DEKR
Wentao Chao, Fuqing Duan, Peng Du, Wanning Zhu, Tianyuan Jia, Deqi Li, Beijing Normal University, China
HP-V1.V5.14: 3D HEAD POSE ESTIMATION BASED ON GRAPH CONVOLUTIONAL NETWORK FROM A SINGLE RGB IMAGE
Wen-Nung Lie, Monyneath Yim, Lee Aing, Jui-Chiu Chiang, National Chung Cheng University, Taiwan