preprints

  • W. Xing and J. Chen, “Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning”, manuscript under review at conference venue [arXiv]
  • W. Xing, J. Chen, Z. Yang and Q. Wang, “Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering,” Accept with mandatory revision (AQ) in IEEE Transactions on Image Processing (TIP) [arXiv]
  • X. Yang, J. Chen, Z.Yang and W. Chen, “Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues”, manuscript under reivew in IEEE Transactions on Multimedia (TMM).
  • W. Xing, J. Chen, “Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion,” manuscript under review in The Visual Computer Journal, Springer (TVCJ)

2022

  • W. Xing and J. Chen, “Nex+: Novel View Synthesis with Neural Regularisation over Multi-Plane Images,” accepted by IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022
  • J. Chen, Z. Yang, T. N. Chan, H. Li, J. Hou, and L.-P. Chau, “Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration,” accepted for publication in IEEE Trasactions on Image Processing (TIP) [arXiv]

2021

  • M. Guo, J. Hou, J. Jin, J. Chen and L. -P. Chau, “Deep Spatial-angular Regularization for Light Field Imaging, Denoising, and Super-resolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  • Z. Yang, Y. Hou, Z. Chen, L. Zhang, and J. Chen, “A Multi-Stage Progressive Learning Strategy for COVID-19 Diagnosis using Chest Computed Tomography with Imbalanced Data,” In Proc. IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pp. 8578-8582, 2021
  • Z. Zhu, J. Hou, J. Chen, H. Zeng, and J. Zhou, “Hyperspectral image super-resolution via deep progressive zero-centric residual learning,” IEEE Transactions on Image Processing (TIP), vol. 30, pp. 1423–1438, 2021.

2020

  • J. Jin, J. Hou, J. Chen, H. Zeng, S. Kwong, and J. Yu, “Deep coarse-to-fine dense light field reconstruction with flexible sampling and geometry-aware fusion,” IEEE Transactions Pattern Analysis and Machine Intelligence (TPAMI), vol. PP, Sep. 2020.
  • M. Guo, J. Hou, J. Jin, J. Chen, and L.-P. Chau, “Deep spatial-angular regularization for compressive light field reconstruction over coded apertures,” In Proc. European Conference on Computer Vision (ECCV), pp. 278–294, 2020.
  • J. Chen, L.-P. Chau, J. Hou, “Surface Consistent Light Field Extrapolation over Stratified Disparity and Spatial Granularities”, In Proc. IEEE International Conference on Multimedia & Expo (ICME), pp. 1-6, 2020.
  • J. Jin, J. Hou, J. Chen, S. Kwong, “Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization”, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2260-2269, 2020.
  • C. Guo, J. Jin, J. Hou, J. Chen, “Accurate Light Field Depth Estimation via an Occlusion-aware Network”, In Proc. IEEE International Conference on Multimedia & Expo (ICME), pp. 1-6, 2020.
  • J. Chen, C.-H. Tan, L.-P. Chau, “Haze Removal with Fusion of Local and Non-local Statistics”, In Proc. IEEE Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2020.
  • Z. Yang, Y. Zhong, J. Chen, H. M. Lee and E.-X. Liu, “GPU Accelerated FDTD Method for Terahertz Imaging and Computed Tomography”, In Proc. IEEE International Conference on Computational Electromagnetics (ICCEM), pp. 1-4, 2020.
  • J. Jin, J. Hou, J. Chen, S. Kwong and J. Yu, “Light field super-resolution via attention-guided fusion of hybrid lenses,” In Proc. ACM International Conference on Multimedia （ACM MM), pp. 193-201, 2020

2019

  • H. W. F. Yeung, J. Hou, X. Chen, J. Chen, Z. Chen, and Y. Y. Chung, “Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution,” IEEE Trans. Image Processing (TIP), vol. 28, no. 5, pp. 2319-2330, 2019.
  • J. Chen, C.-H. Tan, J. Hou, L.-P. Chau, and H. Li, “Robust Video Content Alignment and Compensation for Clear Vision Through the Rain,’’ arXiv preprint, arXiv:1804.09555 [arXiv]

2018

  • J. Chen, J. Hou, and L.-P. Chau, “Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework,’’ IEEE Signal Processing Letters (IEEE SPL), vol. 25, no. 9, pp. 1403-1407, 2018. [arXiv] [code]
  • Y. Ni, J. Chen, and L.-P. Chau, “Reflection Removal On Single Light Field Capture With Focus Manipulation,’’ IEEE Transactions on Computational Imaging (TCI). [pdf]
  • J. Chen, J. Hou, Y. Ni, and L.-P. Chau, “Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions,’’ IEEE Transactions on Image Processing (IEEE TIP), vol. 27, no. 10, pp. 4889-4900, 2018. [pdf] [code]
  • J. Hou, J. Chen, and L.-P. Chau, “Light Field Image Compression Based on Bi-Level View Compensation with Rate Distortion Optimization,’’ IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 29, no. 2, pp. 517-530, 2018 [pdf]
  • S. Mei, J. Hou, J. Chen, L.-P. Chau, and Q. Du, “Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification,’’ IEEE Transactions on Geoscience and Remote Sensing (IEEE TGARS), vol. 56, no. 5, pp. 2872-2886, 2018. [pdf]
  • J. Chen, J. Hou, and L.-P. Chau, “Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views,’’ IEEE Transactions on Image Processing (IEEE TIP), vol. 27, no. 1, pp. 314-324, 2018. [pdf] [data]
  • H. W. F. Yeung, J. Hou, J. Chen, Y. Y. Chung, and X. Chen, “Fast Light Field ReconstructionWith Deep Coarse-To-Fine Modeling of Spatial-Angular Clues,’’ In Proc. European Conference on Computer Vision (ECCV), pp. 137-152, 2018.
  • J. Chen, C.-H. Tan, J. Hou, L.-P. Chau, and H. Li, “Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework,’’ In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR Spotlight), pp. 6286-6295, 2018. [pdf] [dataset] [code]
  • S. Nan, J. Chen, L.-P. Chau, and K. Qian, “Learning-Based Parallax Transfer on Multispectral Light Field,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 1-4, 2018.
  • Ch.-H. Tan, J. Chen, Y. Ni, L.-P. Chau, and L. M. Soh, “Vision-Based Rain Gauge for Dynamic Scenes,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 1-5, 2018.
  • J. Jin, J. Hou, J. Chen, H. W. F. Yeung, and S. Kwong, “Light Field Spatial Super-resolution via CNN Guided by A Single High-resolution RGB Image,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 1-5, 2018.

2017

  • J. Chen and L.-P. Chau, “Light Field Compressed Sensing Over a Disparity-Aware Dictionary,’’ IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 27, no. 4, pp. 855-865, 2017. [pdf]
  • J. Chen, Y. Ni, J. Hou, and L.-P. Chau, “Light Field Scene Flow with Occlusion Regularization,’’ In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1148-1151, 2017. [pdf]
  • C.-H. Tan, J. Chen, and L.-P. Chau, “Edge-preserving rain removal for light field images based on RPCA,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 1-5, 2017. [pdf]
  • Y. Ni, J. Chen, and L.-P. Chau, “Reflection removal based on single light field capture,’’ In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4, Baltimore, USA, 2017. [pdf]

Before 2016

Journal

  • J. Chen and L.-P. Chau, “Multiscale Dictionary Learning via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing,’’ IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 25, no. 9, pp. 1457-1468, 2015. [pdf]
  • J. Chen and L.-P. Chau, “A Rain Pixel Recovery Algorithm for Videos With Highly Dynamic Scenes,’’ IEEE Transactions on Image Processing (IEEE TIP), vol. 23, no. 3, pp. 1097-1104, 2014. [pdf]

Conference

  • Y. Ni, J. Chen, and L.-P. Chau, “Reflection removal based on single light field capture,’’ In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4, 2017. [pdf]
  • J. Chen, L.-P. Chau and H. Li, “Light field depth from multi-scale particle filtering,’’ In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1-6, 2016. [pdf] [bibtex]
  • J. Hou, J. Chen, L.-P. Chau, and Y. He, “Sparse Two-Dimensional Singular Value Decomposition,’’ In Proc. IEEE International Conference on Multimedia & Expo (ICME), pp. 1-6, 2016. [pdf]
  • J. Chen, and L.-P. Chau. “Heavy Haze Removal in A Learning Framework,’’ In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1590-1593, 2015. [pdf]
  • J. Chen, and L.-P. Chau. “A Fast Adaptive Guided Filtering Algorithm for Light Field Depth Interpolation,’’ In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2281-2284, 2014. [pdf] [bibtex]
  • J. Chen, A. Matyasko, and La.-P. Chau, “A Light Field Sparse Representation Structure and Its Fast Coding Technique,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 214-218, 2014. [pdf]
  • C.-H. Tan, J. Chen, and L.-P. Chau, “Dynamic scene rain removal for moving cameras,’’ In Proc. IEEE International Conference on Digital Signal Processing (IEEE DSP), pp. 372-376, 2014. [pdf]
  • J. Chen, and L.-P. Chau, “Rain removal from dynamic scene based on motion segmentation,’’ In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2139-2142, 2013. [pdf]
  • J. Chen, and L.-P. Chau, “An Enhanced Window-Variant Dark Channel Prior for Depth Estimation Using Single Foggy Image,’’ In Proc. IEEE International Conference on Image Processing (ICIP), pp. 3508-3512, 2013. [pdf]
  • S. Wang, C. Deng, W. Lin, B. Zhao, and J. Chen, “A novel SVD-based image quality assessment metric,’’ In Proc. IEEE International Conference on Image Processing (ICIP), pp. 423-426, 2013. [pdf]
  • J. Hou, L.-P. Chau, Y. He, J. Chen, and N. Magnenat-Thalmann, “Human motion capture data recovery via trajectory-based sparse representation,’’ In Proc. IEEE International Conference on Image Processing (ICIP), pp. 709-713, 2013. [pdf]