Rijun Liao
Cited by
Cited by
GaitGANv2: Invariant gait feature extraction using generative adversarial networks
S Yu, R Liao, W An, H Chen, EB García, Y Huang, N Poh
Pattern Recognition 87, 179-189, 2019
Pose-based temporal-spatial network (PTSN) for gait recognition with carrying and clothing variations
R Liao, C Cao, EB Garcia, S Yu, Y Huang
Chinese conference on biometric recognition, 474-483, 2017
A model-based gait recognition method with body pose and human prior knowledge
R Liao, S Yu, W An, Y Huang
Pattern Recognition 98, 107069, 2020
Improving gait recognition with 3D pose estimation
W An, R Liao, S Yu, Y Huang, PC Yuen
Chinese Conference on Biometric Recognition, 137-147, 2018
Performance evaluation of model-based gait on multi-view very large population database with pose sequences
W An, S Yu, Y Makihara, X Wu, C Xu, Y Yu, R Liao, Y Yagi
IEEE Transactions on Biometrics, Behavior, and Identity Science 2 (4), 421-430, 2020
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN
R Liao, W An, S Yu, Z Li, Y Huang
2020 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2020
Discussions on applications of Arnold transformation in binary image scrambling
L Rijun, L Xiongjun, X Jianjie, L Jinlong, X Jianbiao, H Xiaoyu
Journal of Shenzhen University Science and Engineering 32 (4), 428-433, 2015
A Novel View Synthesis Approach based on View Space Covering for Gait Recognition
R Liao, W An, Z Li, SS Bhattacharyya
Neurocomputing, 2021
Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms
L Pan, R Liao, Z Li, SS Bhattacharyya
International Conference on Dynamic Data Driven Application Systems, 320-327, 2020
Method for detecting human face, device, terminal and medium based on convolutional neural networks
R Liao, L Deng, S Yu
CN Patent CN108,062,521 A, 2017
Quasi-symmetry and the half-cycle phenomenon in scrambling degrees for images with pixel locations scrambled by Arnold transformation
L Xiongjun, L Rijun, L Jinlong, X Jianbiao, X Jianjie, H Pei, H Xiaoyu
Journal of Shenzhen University Science and Engineering, 06, 2015
Low-density high-coding-capcity lattice two-dimensional code integrated with chaos encryption technology
L Xiongjun, L Rijun, X Jianjie, W Jianbiao, C Shuang, H Yanyao, H Ying
CN Patent CN105,095,935 A, 0
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