Dingli Luo

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Pose Estimation

Monocular Camera

Top Venues

Publications

Peiqi Zhang, Tingting Hu, Dingli Luo, Songlin Du, Takeshi Ikenaga
Highly-Parallel Hardwired Deep Convolutional Neural Network for 1-ms Dual-Hand Tracking. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Dingli Luo, Songlin Du, Takeshi Ikenaga
Multi-task neural network with physical constraint for real-time multi-person 3D pose estimation from monocular camera. Multim. Tools Appl. 80 (18) (2021)
Hao Wang, Dingli Luo, Takeshi Ikenaga
Image Information Assistance Neural Network for VideoPose3D-based Monocular 3D Pose Estimation. MVA (2021)
Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga
Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation. CoRR (2021)
Yuxin Li, Kunling He, Danlei Xu, Dingli Luo
A transfer learning method using speech data as the source domain for micro-Doppler classification tasks. Knowl. Based Syst. 209 (2020)
Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga
Resolution Irrelevant Encoding and Difficulty Balanced Loss Based Network Independent Supervision for Multi-Person Pose Estimation. HSI (2020)
Peiqi Zhang, Dingli Luo, Songlin Du, Takeshi Ikenaga
Hetero Complementary Networks with Hard-Wired Condensing Binarization for High Frame Rate and Ultra-Low Delay Dual-Hand Tracking. HSI (2020)
Dingli Luo, Songlin Du, Takeshi Ikenaga
Multi-Task and Multi-Level Detection Neural Network Based Real-Time 3D Pose Estimation. APSIPA (2019)
Ping Kuang, Dingli Luo, Haoshuang Wang, Lixue Zhang
An improved calculation system for phase-functioned neural network and implementation in unreal engine. Clust. Comput. 22 (6) (2019)
Dingli Luo, Songlin Du, Takeshi Ikenaga
End-to-End Feature Pyramid Network for Real-Time Multi-Person Pose Estimation. MVA (2019)
Ping Kuang, Dingli Luo, Haoshuang Wang
Masked 3D conditional generative adversarial network for rock mesh generation. Clust. Comput. 22 (6) (2019)