Our paper: “Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and or Multiple Images” has been accepted to IJCV.
Two papers: “NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction” and “Face Anti-Spoofing: Model Matters, So Does Data” have been accepted to CVPR2019.
Intern positions are currently available. Please contact me with your CV if you are interested in doing cutting-edge computer vision researches.
Our paper: “Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples” has been elected into ESI Highly Cited Paper.
Our paper: “Reduced-Rank Linear Dynamical Systems” has been accepted to AAAI2018.
This work was featured on JiQiZhiXin (机器之心)
Our paper: “Inactivation of KCNQ1 potassium channels reveals dynamic coupling between voltage sensing and pore opening” has been accepted to Nature Communications, where we derived a Markov Process to model the dynamic and stationary states of the voltage-dependent ion channel activation.
Our paper: “Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images” has been accepted to CVPR2017.
Our paper: “Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples” has been accepted to IEEE TIP.