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Fangchen Feng
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2020 – today
- 2024
- [c11]Bouzid Arezki, Fangchen Feng, Anissa Mokraoui:
Universal End-to-End Neural Network for Lossy Image Compression. EUSIPCO 2024: 626-630 - [c10]Bouzid Arezki, Anissa Mokraoui, Fangchen Feng:
Efficient Image Compression Using Advanced State Space Models. MMSP 2024: 1-6 - [i3]Minh-Duc Vu, Zuheng Ming, Fangchen Feng, Bissmella Bahaduri, Anissa Mokraoui:
Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing. CoRR abs/2409.08885 (2024) - 2023
- [c9]Bouzid Arezki, Fangchen Feng, Anissa Mokraoui:
Convolutional Transformer-Based Image Compression. SPA 2023: 154-159 - [i2]Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng:
Context Normalization for Robust Image Classification. CoRR abs/2303.07651 (2023) - [i1]Bissmella Bahaduri, Zuheng Ming, Fangchen Feng, Anissa Mokraou:
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images. CoRR abs/2310.13876 (2023) - 2022
- [c8]Lee Sze Foo, Anissa Mokraoui, Fangchen Feng, Yoong Choon Chang:
Motion Estimation Algorithm Based on Decoded Residual Compensation: A Proof-Of-Concept. SPA 2022: 92-97 - 2021
- [c7]Xhenis Çoba, Fangchen Feng, Azeddine Beghdadi:
Blind image separation for document restoration using plug-and-play approach. MMSP 2021: 1-6 - 2020
- [c6]Fangchen Feng, Azeddine Beghdadi:
Reverberant Audio Blind Source Separation via Local Convolutive Independent Vector Analysis. MMSP 2020: 1-6
2010 – 2019
- 2019
- [j2]Fangchen Feng
, Matthieu Kowalski
Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 442-456 (2019) - 2018
- [j1]Fangchen Feng, Matthieu Kowalski
Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures. Signal Process. 152: 165-177 (2018) - [c5]Fangchen Feng, Éric Chassande-Mottin, Philippe Bacon, Aurélia Fraysse:
Structured sparsity regularization for gravitational- wave polarization reconstruction. EUSIPCO 2018: 1750-1754 - [c4]Julien Flamant, Pierre Chainais, Éric Chassande-Mottin, Fangchen Feng, Nicolas Le Bihan:
Non-parametric characterization of gravitational-wave polarizations. EUSIPCO 2018: 2658-2662 - 2017
- [c3]Fangchen Feng, Matthieu Kowalski:
Sparsity and low-rank amplitude based blind Source Separation. ICASSP 2017: 571-575 - 2015
- [c2]Fangchen Feng, Matthieu Kowalski:
An unified approach for blind source separation using sparsity and decorrelation. EUSIPCO 2015: 1736-1740 - 2014
- [c1]Fangchen Feng, Matthieu Kowalski:
Hybrid model and structured sparsity for under-determined convolutive audio source separation. ICASSP 2014: 6682-6686
Coauthor Index
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