Name: PRCI Lab
Type: User
Company: Jiangnan University
Bio: Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence,
Jiangnan University, Wuxi, China
Location: Wuxi, China
Blog: https://prci-jnu.github.io/visualfusion-tutorial-icpr2022/
PRCI Lab's Projects
Learning Alternating Deep-Layer Cascaded Representation (2021 IEEE SPL Accepted)
CVPR 2017, Dynamic Attention Controlled Cascaded Shape Regression (DAC-CSR) for Facial Landmark Localisation
IEEE TCSVT, 2021
Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"
DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0
A Dual branch Network for Infrared and Visible Image Fusion (published by ICPR2020)
MDLatLRR (IEEE TIP 2020)
Image fusion based on generative adversarial network consistent with perception <Information Fusion>
Matlab implementation of TIP2019 paper "Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking"
Relaxed Block-Diagonal Dictionary Pair Learning with Locality Constraint for Image Recognition (IEEE TNNLS 2021 Accepted)
Noise-robust dictionary learning with slack block-diagonal structure for face recognition (PR2019)
Advanced Skeleton-Based Action Recognition via Spatial-Temporal Rotation Descriptors
ICPR 2022, Visual fusion tutorial
CVPR 2018, A Matlab Implementation for CNN-based Facial Landmark Localisation using Wing Loss