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2020 – today
- 2024
[j9]Huynh Van Luong
, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp:
Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing. Sensors 24(1): 49 (2024)- 2022
- [i10]Ming Zhao, Bowen An, Yongpeng Wu, Huynh Van Luong, André Kaup:
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration. CoRR abs/2204.00818 (2022) - 2021
- [j8]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. 30: 4099-4113 (2021) - [c19]Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis:
Generalization error bounds for deep unfolding RNNs. UAI 2021: 1515-1524 - [d1]Boris Joukovsky, Huynh Van Luong, Nikos Deligiannis:
reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding. Zenodo, 2021
- 2020
- [c18]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO 2020: 1432-1436 - [i9]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁1-𝓁1 Minimization: Architecture Design and Generalization Analysis. CoRR abs/2003.08334 (2020) - [i8]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR abs/2010.00929 (2020)
2010 – 2019
- 2019
- [c17]Hung Duy Le, Huynh Van Luong, Nikos Deligiannis:
Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm. ICIP 2019: 2329-2333 - [i7]Hung Duy Le, Huynh Van Luong, Nikos Deligiannis:
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm. CoRR abs/1902.06522 (2019) - 2018
- [j7]Srivatsa Prativadibhayankaram, Huynh Van Luong, Thanh Ha Le, André Kaup:
Compressive Online Video Background-Foreground Separation Using Multiple Prior Information and Optical Flow. J. Imaging 4(7): 90 (2018) - [j6]Mathias Becquaert, Edison Cristofani, Huynh Van Luong, Marijke Vandewal, Johan Stiens, Nikos Deligiannis:
Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information. Sensors 18(6): 1761 (2018) - [j5]Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup:
Sparse signal recovery with multiple prior information: Algorithm and measurement bounds. Signal Process. 152: 417-428 (2018) - [j4]Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup:
Compressive Online Robust Principal Component Analysis via n-ℓ1 Minimization. IEEE Trans. Image Process. 27(9): 4314-4329 (2018) - [c16]Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Online Decomposition of Compressive Streaming Data Using n-l1 Cluster-Weighted Minimization. DCC 2018: 62-69 - [c15]Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Compressive Online Decomposition of Dynamic Signals Via N-ℓ1 Minimization With Clustered Priors. SSP 2018: 846-850 - [i6]Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Online Decomposition of Compressive Streaming Data Using n-𝓁1 Cluster-Weighted Minimization. CoRR abs/1802.02885 (2018) - 2017
- [j3]Ming Zhao, Bowen An, Yongpeng Wu, Huynh Van Luong, André Kaup:
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 55(1): 375-391 (2017) - [c14]Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup:
Compressive online robust principal component analysis with multiple prior information. GlobalSIP 2017: 1260-1264 - [c13]Srivatsa Prativadibhayankaram, Huynh Van Luong, Thanh Ha Le, André Kaup:
Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation. SoICT 2017: 385-392 - [i5]Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup:
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis. CoRR abs/1701.06852 (2017) - [i4]Srivatsa Prativadibhayankaram, Huynh Van Luong, Thanh-Ha Le, André Kaup:
Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation. CoRR abs/1710.09160 (2017) - 2016
- [c12]Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer:
A Reconstruction Algorithm with Multiple Side Information for Distributed Compression of Sparse Sources. DCC 2016: 201-210 - [c11]Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer:
Sparse signal reconstruction with multiple side information using adaptive weights for multiview sources. ICIP 2016: 2534-2538 - [c10]Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Distributed coding of multiview sparse sources with joint recovery. PCS 2016: 1-5 - [i3]Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer, Nikos Deligiannis:
Performance Bounds for Sparse Signal Reconstruction with Multiple Side Information. CoRR abs/1605.03234 (2016) - [i2]Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer:
Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources. CoRR abs/1605.06776 (2016) - [i1]Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup:
Distributed Coding of Multiview Sparse Sources with Joint Recovery. CoRR abs/1607.04965 (2016) - 2014
- [j2]Huynh Van Luong, Lars Lau Rakêt, Søren Forchhammer:
Re-estimation of Motion and Reconstruction for Distributed Video Coding. IEEE Trans. Image Process. 23(7): 2804-2819 (2014) - 2013
- [c9]Huynh Van Luong, Søren Forchhammer, Jürgen Slowack, Jan De Cock, Rik Van de Walle:
Adaptive mode decision with residual motion compensation for distributed video coding. PCS 2013: 153-156 - 2012
- [j1]Huynh Van Luong, Lars Lau Rakêt, Xin Huang, Søren Forchhammer:
Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering. IEEE Trans. Image Process. 21(12): 4782-4796 (2012) - [c8]Søren Forchhammer, Matteo Salmistraro, Knud J. Larsen, Xin Huang, Huynh Van Luong:
Rate-Adaptive BCH Coding for Slepian-Wolf Coding of Highly Correlated Sources. DCC 2012: 237-246 - [c7]Huynh Van Luong, Søren Forchhammer:
Noise residual learning for noise modeling in distributed video coding. PCS 2012: 157-160 - 2011
- [c6]Huynh Van Luong, Xin Huang, Søren Forchhammer:
Multiple LDPC decoding using bitplane correlation for Transform Domain Wyner-Ziv video coding. ICASSP 2011: 1521-1524 - [c5]Huynh Van Luong, Xin Huang, Søren Forchhammer:
Parallel iterative decoding of Transform Domain Wyner-Ziv video using cross bitplane correlation. ICIP 2011: 2633-2636 - [c4]Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, Søren Forchhammer:
Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. MMSP 2011: 1-6 - [c3]Huynh Van Luong, Xin Huang, Søren Forchhammer:
Adaptive noise model for transform domain Wyner-Ziv video using clustering of DCT blocks. MMSP 2011: 1-6
2000 – 2009
- 2009
- [c2]Huynh Van Luong, Jong-Myon Kim:
A generalized spatial fuzzy c-means algorithm for medical image segmentation. FUZZ-IEEE 2009: 409-414 - [c1]Huynh Van Luong, Yongmin Kim, Byung-Kook Kim, Jong-Myon Kim, Cheol Hong Kim:
Parallel Approach to Fuzzy Vector Quantization for Image Compression. SNPD 2009: 510-515
Coauthor Index
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