Jun-Jie Huang
Communications and Signal Processing Group - Imperial College London
Address: Room 805, Electrical and Electronic Engineering Department, Imperial College London, Exhibition Road, London, SW7 2AZ
Email:
Email:
I am currently a postdoctoral researcher at Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College London, advised by Professor Pier Luigi Dragotti .
I completed my Ph.D. (2019) at the Department of Electrical and Electronic Engineering, Imperial College London, under the supervision of Professor Pier Luigi Dragotti. I received the B.Eng. (Hons) degree (2013) with First Class Honours in Electronic Engineering from The Hong Kong Polytechnic University and the M.Phil. degree (2015) in Electronic and Information Engineering from the same university under the supervision of Professor Wan-Chi Siu.
My research interests include image restoration, model-based deep learning, computational imaging, continuous-domain signal processing, deep dictionary learning and deep learning applications.
Full list of publications available on Google Scholar.
What's New
2021-08 One paper on art invertigation has been accepted by TCI, congradulations Su!
2021-07 Please find the Code of "Learning Deep Analysis Dictionaries for Image Super-Resolution". If you have any questions, please feel free to contact me!
2021-05 Three papers have been accepted by EUSIPCO'21!
2020-11 One paper on deep analysis dictionary learning has been accepted by TSP!
2020-11 One paper on pedestrian detection has been accepted by TIP, congradulations Tianrui!
2020-10 One paper on deep phase retrieval has been accepted by Signal Processing, congradulations Qi!
2020-08 One paper on meta learning has been submitted to T-PAMI!
2020-02 Please check our recent research on revealing hidden secrets of DaVinci's Virgin of the Rocks (Video and Article)!
2020-01 Three papers have been accepted by ICASSP'20!
2019-11 I have passed my Ph.D viva!
2019-06 Please check the talk given by Professor Dragotti about our Deep Dictionary Learning work at the Alan Turing Institue!
2019-05 Two papers have been accepted by SPARS'19!
2019-02 One paper has been accepted by ICASSP'19!
2018-07 Please check the YouTube_Video for our paper on image completion!
2018-06 One paper on image completion has been accepted by TIP!
2018-01 Two papers have been accepted by ICASSP'18!
2017-09 Attending Signal Processing meets Deep Learning (S3P-2017) summer school at Capri, Italy!
2017-05 One paper has been accepted by CVPRW'17!
2017-04 One paper has been accepted by SampTA'17!
2016-12 One paper has been accepted by ICASSP'17 for oral presentation!
Journal Paper
1. Su Yan, Jun-Jie Huang*, Nathan Daly, Catherine Higgitt and Pier Luigi Dragotti, "When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction from Macro X-ray Fluorescence Data," in IEEE Trans. on Computational Imaging, 2021. (*Corresponding author)
3. Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang*, Tania Stathaki and Tianhong Dai, "Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling," in IEEE Trans. on Image Processing, vol. 30, pp. 754-766, 2021. (*Corresponding author)
5. Jun-Jie Huang and Pier Luigi Dragotti, "Photo Realistic Image Completion via Dense Correspondence," IEEE Trans. on Image Processing, vol 27, no. 11, pp. 5234-5247, November 2018.
6. Jun-Jie Huang and Wan-Chi Siu, "Learning Hierarchical Decision Trees for Single Image Super-Resolution," IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 5, pp. 937-950, 2017. (State-of-the-art image super-resolution results!)
7. Jun-Jie Huang, Wan-Chi Siu and Tian-Rui Liu, "Fast Image Interpolation via Random Forests," IEEE Transactions on Image Processing, vol. 24, no. 10, pp. 3232-3245, 2015. (State-of-the-art image interpolation results!)
Preprint
1. Jing-Yuan Xia, Shengxi Li, Jun-Jie Huang, Imad Jaimoukha and Xinwang Liu, "Meta-learning for Multi-variable Non-convex Optimization Problems:
Iterating Non-optimums Makes Optimum Possible," submitted to IEEE Trans. on Pattern Analysis and Machine Intelligence.
Conference Paper
2. Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel Rodrigues, "A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs," Accepted by European Signal Processing Conference (EUSIPCO) 2021.
3. Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti, "Reconstruction of FRI Signals using Autoencoder with Fixed Decoder," Accepted by European Signal Processing Conference (EUSIPCO) 2021.
5. Vincent Chi Hang Leung, Jun-Jie Huang, and Pier Luigi Dragotti, "Reconstruction of FRI Signals using Deep Neural Network Approaches," Accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2020). (Oral)
6. Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and 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," Accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2020). (Oral)
10. Jun-Jie Huang, and Pier Luigi Dragotti, "A Deep Dictionary Model for Image Super-Resolution," Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’2018). (oral presentation @ Special Session on Learning Signal Representation using Deep Learning).
12. Jun-Jie Huang, Tianrui Liu, Pier Luigi Dragotti, and Tania Stathaki, "SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests," Proceedings, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on New Trends in Image Restoration and Enhancement, July 2017.