2 citations · 3 across the 4 of their papers we have counts for
6 papers
Alternative design of DeepPDNet in the context of image restoration
Mingyuan Jiu, Nelly Pustelnik
This work designs an image restoration deep network relying on unfolded Chambolle-Pock primal-dual iterations. Each layer of our network is built from Chambolle-Pock iterations whe…
Image Annotation based on Deep Hierarchical Context Networks
Mingyuan Jiu, Hichem Sahbi
Context modeling is one of the most fertile subfields of visual recognition which aims at designing discriminant image representations while incorporating their intrinsic and extri…
End-to-end training of deep kernel map networks for image classification
Mingyuan Jiu, Hichem Sahbi
Deep kernel map networks have shown excellent performances in various classification problems including image annotation. Their general recipe consists in aggregating several layer…
Deep Context-Aware Kernel Networks
Mingyuan Jiu, Hichem Sahbi
Context plays a crucial role in visual recognition as it provides complementary clues for different learning tasks including image classification and annotation. As the performance…
Learning Explicit Deep Representations from Deep Kernel Networks
Mingyuan Jiu, Hichem Sahbi
Deep kernel learning aims at designing nonlinear combinations of multiple standard elementary kernels by training deep networks. This scheme has proven to be effective, but intract…
Learning Deep Context-Network Architectures for Image Annotation
Mingyuan Jiu, Hichem Sahbi
Context plays an important role in visual pattern recognition as it provides complementary clues for different learning tasks including image classification and annotation. In the…