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ORCIDJunjie Huang 0001
Person information
- affiliation (PhD 2019): Imperial College London, Department of Electrical and Electronic Engineering, UK
Other persons with the same name
- Junjie Huang (aka: Jun-Jie Huang) — disambiguation page
- Junjie Huang 0002 (aka: Jun-Jie Huang 0002) — Hong Kong Polytechnic University, Centre for Signal Processing (and 1 more)
- Junjie Huang 0003 (aka: Jun-Jie Huang 0003) — Beihang University, China
- Junjie Huang 0004 (aka: Jun-Jie Huang 0004) — University of Science and Technology of China, Hefei, China
- Junjie Huang 0005
![[0000-0002-2853-2549]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2853-2549")
(aka: Jun-Jie Huang 0005) — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more) - Junjie Huang 0006 (aka: Jun-Jie Huang 0006) — Nanjing University of Posts and Telecommunications, Nanjing, China
- Junjie Huang 0007 (aka: Jun-Jie Huang 0007) — Northwest University, Xi'an, China
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2020 – today
- 2024
[j12]Jun-Jie Huang, Ziyue Wang, Tianrui Liu, Wenhan Luo, Zihan Chen, Wentao Zhao, Meng Wang:
DeMPAA: Deployable Multi-Mini-Patch Adversarial Attack for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)- 2023
- [j11]Su Yan, Junjie Huang, Herman Verinaz-Jadan, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
A Fast Automatic Method for Deconvoluting Macro X-Ray Fluorescence Data Collected From Easel Paintings. IEEE Trans. Computational Imaging 9: 649-664 (2023) - [j10]Jingyuan Xia, Shengxi Li, Junjie Huang, Zhixiong Yang, Imad M. Jaimoukha, Deniz Gündüz:
Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5366-5380 (2023) - [j9]Vincent C. H. Leung, Junjie Huang, Yonina C. Eldar, Pier Luigi Dragotti:
Learning-Based Reconstruction of FRI Signals. IEEE Trans. Signal Process. 71: 2564-2578 (2023) - [c14]Su Yan, Herman Verinaz-Jadan, Junjie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings. ICASSP 2023: 1-5 - 2022
- [j8]Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31: 1573-1586 (2022) - [j7]Junjie Huang, Pier Luigi Dragotti:
WINNet: Wavelet-Inspired Invertible Network for Image Denoising. IEEE Trans. Image Process. 31: 4377-4392 (2022) - [j6]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks With Concealed Designs. IEEE Trans. Image Process. 31: 4458-4473 (2022) - [c13]Renke Wang, Jun-Jie Huang, Pier Luigi Dragotti:
FRISPEE: FRI-Based Single Image Super-Resolution with Deep Recursive Residual Network. EUSIPCO 2022: 479-483 - [i8]Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks with Concealed Designs. CoRR abs/2201.09167 (2022) - 2021
- [j5]Qi Yu, Jun-Jie Huang, Jubo Zhu, Wei Dai, Pier Luigi Dragotti:
Deep phase retrieval: Analyzing over-parameterization in phase retrieval. Signal Process. 180: 107866 (2021) - [j4]Su Yan, Junjie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction From Macro X-Ray Fluorescence Data. IEEE Trans. Computational Imaging 7: 908-924 (2021) - [j3]Tian-Rui Liu, Wenhan Luo, Lin Ma, Junjie Huang, Tania Stathaki, Tianhong Dai:
Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. IEEE Trans. Image Process. 30: 754-766 (2021) - [c12]Jun-Jie Huang, Pier Luigi Dragotti:
LINN: Lifting Inspired Invertible Neural Network for Image Denoising. EUSIPCO 2021: 636-640 - [c11]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. EUSIPCO 2021: 1491-1495 - [c10]Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti:
Reconstruction of FRI Signals using Autoencoders with Fixed Decoders. EUSIPCO 2021: 1496-1500 - [i7]Jun-Jie Huang, Pier Luigi Dragotti:
LINN: Lifting Inspired Invertible Neural Network for Image Denoising. CoRR abs/2105.03303 (2021) - [i6]Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR abs/2106.10528 (2021) - 2020
- [j2]Jun-Jie Huang, Pier Luigi Dragotti:
Learning Deep Analysis Dictionaries for Image Super-Resolution. IEEE Trans. Signal Process. 68: 6633-6648 (2020) - [c9]Caihong Li, Junjie Huang, Xinzhi Tian, Zhihui Lin:
Demand Analysis of New Engineering Talents and Exploration of Specialty Construction Path in Application-Oriented Universities Under Intelligent Information Environment. ATCI 2020: 911-916 - [c8]Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation. ICASSP 2020: 1444-1448 - [c7]Tian-Rui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki:
Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. ICASSP 2020: 3867-3871 - [c6]Vincent C. H. Leung, Jun-Jie Huang, Pier Luigi Dragotti:
Reconstruction of Fri Signals Using Deep Neural Network Approaches. ICASSP 2020: 5430-5434 - [i5]Jun-Jie Huang, Pier Luigi Dragotti:
Learning Deep Analysis Dictionaries - Part I: Unstructured Dictionaries. CoRR abs/2001.12010 (2020) - [i4]Jun-Jie Huang, Pier Luigi Dragotti:
Learning Deep Analysis Dictionaries - Part II: Convolutional Dictionaries. CoRR abs/2002.00022 (2020) - [i3]Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR abs/2009.04899 (2020)
2010 – 2019
- 2019
- [c5]Jun-Jie Huang, Pier Luigi Dragotti:
A Deep Dictionary Model to Preserve and Disentangle Key Features in a Signal. ICASSP 2019: 3702-3706 - [i2]Tian-Rui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki:
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. CoRR abs/1910.11761 (2019) - [i1]Tian-Rui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai:
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. CoRR abs/1912.08661 (2019) - 2018
- [j1]Jun-Jie Huang, Pier Luigi Dragotti:
Photo Realistic Image Completion via Dense Correspondence. IEEE Trans. Image Process. 27(11): 5234-5247 (2018) - [c4]Xin Deng, Junjie Huang, Mengying Liu, Pier Luigi Dragotti:
U-Fresh: An Fri-Based Single Image Super Resolution Algorithm and An Application in Image Compression. ICASSP 2018: 1807-1811 - [c3]Jun-Jie Huang, Pier Luigi Dragotti:
A Deep Dictionary Model for Image Super-Resolution. ICASSP 2018: 6777-6781 - 2017
- [c2]Jun-Jie Huang, Tian-Rui Liu, Pier Luigi Dragotti, Tania Stathaki:
SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests. CVPR Workshops 2017: 1067-1075 - [c1]Jun-Jie Huang, Pier Luigi Dragotti:
ProSparse extension: Prony's based sparse pattern recovery with extended dictionaries. ICASSP 2017: 3819-3823
Coauthor Index
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last updated on 2024-06-19 20:58 CEST by the dblp team
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