Xiaoran Jiang

According to our database, Xiaoran Jiang authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overfitted Image Coding at Reduced Complexity.

Théophile Blard, Théo Ladune, Pierrick Philippe, Gordon Clare, Xiaoran Jiang, Olivier Déforges

Proceedings of the 32nd European Signal Processing Conference, 2024

2022

An Untrained Neural Network Prior for Light Field Compression.

Xiaoran Jiang, Jinglei Shi, Christine Guillemot

IEEE Trans. Image Process., 2022

Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis and Temporal Interpolation.

Jinglei Shi, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Computational Imaging, 2022

Axial refocusing precision model with light fields.

Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot

Signal Process. Image Commun., 2022

Deep Video Frame Rate Up-conversion Network using Feature-based Progressive Residue Refinement.

Jinglei Shi, Xiaoran Jiang, Christine Guillemot

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

A learning-based view extrapolation method for axial super-resolution.

Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot

Neurocomputing, 2021

2020

Local Low Rank Approximation With a Parametric Disparity Model for Light Field Compression.

Elian Dib, Mikaël Le Pendu, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Image Process., 2020

Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields.

Jinglei Shi, Xiaoran Jiang, Christine Guillemot

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views.

Jinglei Shi, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Image Process., 2019

A Learning Based Depth Estimation Framework for 4D Densely and Sparsely Sampled Light Fields.

Xiaoran Jiang, Jinglei Shi, Christine Guillemot

Proceedings of the IEEE International Conference on Acoustics, 2019

Super-Ray Based Low Rank Approximation for Light Field Compression.

Elian Dib, Mikael Le Pendu, Xiaoran Jiang, Christine Guillemot

Proceedings of the Data Compression Conference, 2019

2018

Light Field Inpainting Propagation via Low Rank Matrix Completion.

Mikael Le Pendu, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Image Process., 2018

Depth Estimation with Occlusion Handling from a Sparse Set of Light Field Views.

Xiaoran Jiang, Mikaël Le Pendu, Christine Guillemot

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

3D Scene Modeling from Dense Video Light Fields.

Xiaoran Jiang, Christian Galea, Laurent Guillo, Christine Guillemot

Proceedings of the International Conference on 3D Immersion, 2018

2017

Light Field Compression With Homography-Based Low-Rank Approximation.

Xiaoran Jiang, Mikael Le Pendu, Reuben A. Farrugia, Christine Guillemot

IEEE J. Sel. Top. Signal Process., 2017

Light field compression using depth image based view synthesis.

Xiaoran Jiang, Mikael Le Pendu, Christine Guillemot

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

Homography-based low rank approximation of light fields for compression.

Xiaoran Jiang, Mikael Le Pendu, Reuben A. Farrugia, Sheila S. Hemami, Christine Guillemot

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Storing Sequences in Binary Tournament-Based Neural Networks.

Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat

IEEE Trans. Neural Networks Learn. Syst., 2016

Assembly output codes for learning neural networks.

Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Nearest Neighbour Search using binary neural networks.

Demetrio Ferro, Vincent Gripon, Xiaoran Jiang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

A Connectionist Model of Reading with Error Correction Properties.

Max Raphael Sobroza Marques, Xiaoran Jiang, Olivier Dufor, Claude Berrou, Deok-Hee Kim-Dufor

Proceedings of the Human Language Technology. Challenges for Computer Science and Linguistics, 2015

Improved Retrieval for Challenging Scenarios in Clique-Based Neural Networks.

Xiaoran Jiang, Max Raphael Sobroza Marques, Pierre-Julien Kirsch, Claude Berrou

Proceedings of the Advances in Computational Intelligence, 2015

2014

Storing Sequences in Binary Neural Networks with High Efficiency. (Mémorisation de séquences dans des réseaux de neurones binaires avec efficacité élevée).

Xiaoran Jiang

PhD thesis, 2014

Information, noise, coding, modulation: What about the brain?

Claude Berrou, Olivier Dufor, Vincent Gripon, Xiaoran Jiang

Proceedings of the 8th International Symposium on Turbo Codes and Iterative Information Processing, 2014

2013

A study of retrieval algorithms of sparse messages in networks of neural cliques.

Ala Aboudib, Vincent Gripon, Xiaoran Jiang

CoRR, 2013

2012

Learning sparse messages in networks of neural cliques

Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran Jiang

CoRR, 2012

2011

TCP over 6LoWPAN for Industrial Applications: An Experimental Study.

Tiancong Zheng, Ahmed Ayadi, Xiaoran Jiang

Proceedings of the 4th IFIP International Conference on New Technologies, 2011