preprints

  • [TVCG] Ruiqi Zhang, Jie Chen, Qiang Wang, Zaifeng Yang, Ka Chun Cheung, Simon See, Yike Guo, “NxDS: Learning and Distilling Neural Deformable Surface Representations for Fast and Accurate Avatar Appearance Modelling,” manuscript under reivew in IEEE Transactions on Visualization and Computer Graphics
  • [TVCG] Wenpeng Xing, Jie Chen, Xingxing Yang, Zaifeng Ynag, Ka Chun Cheung, Simon See, Yike Guo, “Decoding Rendering Factors via Cooperative Learning of Neural Bases and Spatial Feature Coefficients,” manuscript under major revision in IEEE Transactions on Visualization and Computer Graphics
  • [TVCG] Junkun Jiang, Jie Chen, Ho Yin Au, Minyuan Chen, Wei Xue, Yike Guo, “Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud,” manuscript under reivew in IEEE Transactions on Visualization and Computer Graphics

2024

  • [3DV] Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng, “SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion”, International Conference on 3D Vision, pp. 1-1, 2025
  • [IJCNN] Chenhong Zhou, Jie Chen, Zaifeng Yang, Alexander Matyasko, Ching Eng Png, “Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling,” International Joint Conference on Neural Networks, pp. 1-6, 2024
  • [IJCNN] Junkun Jiang, Ho Yin Au, Jie Chen, Jingyu Xiang and Mingyuan Chen, “Motion Part-Level Interpolation and Manipulation over Automatic Symbolic Labanotation Annotation,” International Joint Conference on Neural Networks, pp. 1-8, 2024
  • [AAAI] Xingxing Yang, Jie Chen, Zaifeng Yang, “Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues,” AAAI Conference on Artificial Intelligence, vol. 44, no. 10, pp. 6094-6110, 2024
  • [AAAI] Qingsong Yan, Qiang WANG, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng, “CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning,” AAAI Conference on Artificial Intelligence, vol. 38, no. 6, pp. 6440-6448, 2024
  • [ICASSP] Junkun Jiang, Jie Chen, “Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework,” IEEE International Conference on Acoustics, Speech, & Signal Processing, pp. 1-5, 2024
  • [ACM MM] Ruiqi Zhang, Jie Chen, “Mesh-Centric Gaussian Splatting for Human Avatar Modelling with Real-time Dynamic Mesh Reconstruction,” ACM International Conference on Multimedia, pp. 1-10, 2024

2023

Journal

  • [MIR] Wenpeng Xing, Jie Chen, and Yike Guo, “Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion,” Machine Intelligence Research, Springer, vol. 20, no. 2, pp. 408-420, 2023 [paper]
  • [MIR] Ho Yin Au, Jie Chen, Junkun Jiang, and Yi-Ke Guo, “ReChoreoNet: Repertoire-based Dance Re-choreography with Music-conditioned Temporal and Style Clues,” Machine Intelligence Research, pp. 1-1, 2023

Conference

  • [ICLRW] Chenhong Zhou, Xiaorui Zhang, Meng Gao, Shanshan Liu, Yike Guo, Jie Chen, “Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects,” International Conference on Learning Representations Workshops, pp. 1-1, 2023
  • [ICME] Wenpeng Xing, Jie Chen, “CasTensoRF: Cascaded Tensorial Radiance Fields for Novel View Synthesis,” International Conference on Multimedia & Expo, pp. 2183-2188, 2023
  • [ACM MM] Ruiqi Zhang, Jie Chen, Qiang Wang, “Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface,” ACM International Conference on Multimedia, pp. 2183-2188, 2023 [arXiv]
  • [ACM MM] Xingxing Yang, Jie Chen, Zaifeng Yang, “Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation,” ACM International Conference on Multimedia, pp. 2409-2417, 2023
  • [ACM MM] Wenpeng Xing, Jie Chen, Ka Chun Cheung, Simon See, “IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images,” ACM International Conference on Multimedia, pp. 2409-2417, 2023
  • [ACM MM] Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo, “CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model,” ACM International Conference on Multimedia, pp. 1831-1839, 2023
  • [VCIP] Xingxing Yang, Jie Chen, Zaifeng Yang, “Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation.” _IEEE International Conference on Visual Communications and Image Processing, PP. 1-5, 2023

2022

Journal

  • [TIP] Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang, and Yike Guo, “Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering,” IEEE Transactions on Image Processing, vol. 31, pp. 6109-6123, 2022 [arXiv]
  • [TIP] Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, and Lap-Pui Chau, “Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration,” IEEE Trasactions on Image Processing, vol. 31, pp. 2661–2672, 2022 [arXiv]
  • [TPAMI] Jing Jin, Junhui Hou, Jie Chen, Huanqiang Zeng, Sam Kwong, and Jingyi Yu, “Deep coarse-to-fine dense light field reconstruction with flexible sampling and geometry-aware fusion,” IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 44, no. 4, pp. 1819-1836, 2022 [arXiv]
  • [Survey] Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Henrik Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, and Jianliang Xu, “Pathway to Future Symbiotic Creativity,” arXiv:2209.02388 [arXiv]

Conference

  • [ECCV] Ruiqi Zhang, Jie Chen, “NDF: Neural Deformable Fields for Dynamic Human Modelling,” in Proc. European Conference on Computer Vision, pp. 37-52, Tel Aviv, Israel, 2022 [arXiv] [code]
  • [ECCV] Wenpeng Xing, Jie Chen, “Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning”, in Proc. European Conference on Computer Vision, pp. 323-338, Tel Aviv, Israel, 2022 [arXiv] [project page]
  • [ACM MM] Ho Yin Au, Jie Chen, Junkun Jiang, and Yike Guo, “ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph,” in Proc. ACM International Conference on Multimedia, pp. 3917-3925, Lisbon, Portugal, 2022 [arXiv]
  • [ACM MM] Junkun Jiang, Jie Chen, and Yike Guo, “A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion,” in Proc. ACM International Conference on Multimedia, pp. 5123-5131, Lisbon, Portugal, 2022 [arXiv] [project page] [dataset]
  • [ACM MM] Wenpeng Xing, Jie Chen, “MVSPlenOctree: Fast and Generic Reconstruction of Radiance Fields in PlenOctree from Multi-view Stereo,” in Proc. ACM International Conference on Multimedia, pp. 5114-5122, Lisbon, Portugal, 2022 [project page]
  • [ICASSP] Wenpeng Xing, Jie Chen, “Nex+: Novel View Synthesis with Neural Regularisation over Multi-Plane Images,” in Proc. IEEE International Conference on Acoustics, Speech, & Signal Processing, pp. 1581–1585, Singapore, 2022

2021

Journal

  • [TPAMI] Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, and Lap-Pui Chau, “Deep Spatial-angular Regularization for Light Field Imaging, Denoising, and Super-resolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 10, pp. 6094-6110, 2021
  • [TIP] Zhiyu Zhu, Junhui Hou, Jie Chen, Huanqiang Zeng, and Jiantao Zhou, “Hyperspectral image super-resolution via deep progressive zero-centric residual learning,” IEEE Transactions on Image Processing, vol. 30, pp. 1423–1438, 2021

Conference

  • [ICASSP] Zaifeng Yang, Yubo Hou, Zhenghua Chen, Le Zhang, and Jie 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, pp. 8578-8582, Toronto, Canada, 2021

2020

Conference

  • [ECCV] Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, and Lap-Pui Chau, “Deep spatial-angular regularization for compressive light field reconstruction over coded apertures,” In Proc. European Conference on Computer Vision, pp. 278–294, 2020
  • [ICME] Jie Chen, Lap-Pui Chau, Junhui Hou, “Surface Consistent Light Field Extrapolation over Stratified Disparity and Spatial Granularities”, In Proc. IEEE International Conference on Multimedia & Expo, pp. 1-6, London, UK, 2020
  • [CVPR] Jing Jin, Junhui Hou, Jie Chen, and Sam 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, pp. 2260-2269, 2020
  • [ICME] Chunle Guo, Jing Jin, Junhui Hou, and Jie Chen, “Accurate Light Field Depth Estimation via an Occlusion-aware Network”, In Proc. IEEE International Conference on Multimedia & Expo, pp. 1-6, London, UK, 2020
  • [ISCAS] Jie Chen, Cheen-Hau Tan, Lap-Pui Chau, “Haze Removal with Fusion of Local and Non-local Statistics”, In Proc. IEEE Symposium on Circuits and Systems, pp. 1-5, 2020.
  • [ICCEM] 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, pp. 1-4, 2020
  • [ACM MM] Jing Jin, Junhui Hou, Jie Chen, Sam Kwong, and Jingyi Yu, “Light field super-resolution via attention-guided fusion of hybrid lenses,” In Proc. ACM International Conference on Multimedia, pp. 193-201, Seattle, United States, 2020

2019

Journal

  • [TIP] Henry W. F. Yeung, Junhui Hou, Xiaoming Chen, Jie Chen, Zhibo Chen, and Yuk Ying Chung, “Light Field Spatial Super-Resolution Using Deep Spatial-Angular Interleaved CNN,’’ IEEE Transactions on Image Processing, vol. 28, no. 5, pp. 2319-2330, 2019
  • [arXiv] Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui. Chau, and He Li, “Robust Video Content Alignment and Compensation for Clear Vision Through the Rain,’’ arXiv:1804.09555 [arXiv]

2018

Journal

  • [SPL] Jie Chen, Junhui Hou, and Lap-Pui. Chau, “Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework,’’ IEEE Signal Processing Letters, vol. 25, no. 9, pp. 1403-1407, 2018 [pdf] [code]
  • [TIP] Jie Chen, Junhui Hou, Yun Ni, and Lap-Pui. Chau, “Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions,’’ IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 4889-4900, 2018 [pdf] [code]
  • [TCI] Yun Ni, Jie Chen, and Lap-Pui Chau, “Reflection Removal On Single Light Field Capture With Focus Manipulation,’’ in IEEE Transactions on Computational Imaging, vol. 4, no. 4, pp. 562-572, 2018 [pdf]
  • [TIP] Jie Chen, Junhui Hou, and Lap-Pui Chau, “Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views,’’ IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 314-324, 2018 [pdf] [data]
  • [TCSVT] Junhui Hou, Jie Chen, and Lap-Pui Chau, “Light Field Image Compression Based on Bi-Level View Compensation with Rate Distortion Optimization,’’ IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 517-530, 2018 [pdf]
  • [TGARS] Shaohui Mei, Junhui Hou, Jie Chen, Lap-Pui Chau, and Qian Du, “Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification,’’ IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2872-2886, 2018 [pdf]

Conference

  • [ECCV] Henry Yeung, Junhui Hou, Jie Chen, Yuk Ying Chung, and Xiaoming Chen, “Fast Light Field ReconstructionWith Deep Coarse-To-Fine Modeling of Spatial-Angular Clues,’’ In Proc. European Conference on Computer Vision , pp. 137-152, Munich, Germany, 2018
  • [CVPR] Jie Chen, Cheen-Hau Tan, Junhui Hou, Lap-Pui Chau, and He Li, “Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework,’’ In Proc. IEEE Conference on Computer Vision and Pattern Recognition spotlight (6.6%), Salt Lake City, Utah, 2018 [pdf] [dataset] [code]
  • [DSP] Shengyu Nan, Jie Chen, Lap-Pui Chau, and Kemao Qian, “Learning-Based Parallax Transfer on Multispectral Light Field,’’ In Proc. IEEE International Conference on Digital Signal Processing, pp. 1-5, Shanghai, China, 2018
  • [DSP] Cheen-Hau Tan, Jie Chen, Yun Ni, Lap-Pui Chau, and Ling Min Soh, “Vision-Based Rain Gauge for Dynamic Scenes,’’ In Proc. IEEE International Conference on Digital Signal Processing (DSP), pp. 1-5, Shanghai, China, 2018
  • [DSP] Jing Jin, Junhui Hou, Jie Chen, Henry Yeung, and Sam 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 (DSP), pp. 1-5, Shanghai, China, 2018

2017

Journal

  • [TCSVT] Jie Chen and Lap-Pui Chau, “Light Field Compressed Sensing Over a Disparity-Aware Dictionary,’’ IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 4, pp. 855-865, 2017 [pdf]

Conference

  • [APSIPA] Jie Chen, Yun Ni, Junhui Hou, and Lap-Pui Chau, “Light Field Scene Flow with Occlusion Regularization,’’ In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kuala Lumpur, Malaysia, 2017 [pdf]
  • [DSP] Cheen-Hau Tan, Jie Chen, and Lap-Pui Chau, “Edge-preserving rain removal for light field images based on RPCA,’’ In Proc. IEEE International Conference on Digital Signal Processing (DSP), pp. 1-5, London, UK, 2017 [pdf]
  • [ISCAS] Yun Ni, Jie Chen, and Lap-Pui Chau, “Reflection removal based on single light field capture,’’ In Proc. IEEE International Symposium on Circuits and Systems, pp. 1-4, Baltimore, USA, 2017 [pdf]

Before 2016

Journal

  • [TCSVT] Jie Chen and Lap-Pui 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, vol. 25, no. 9, pp. 1457-1468, 2015 [pdf]
  • [TIP] Jie Chen and Lap-Pui Chau, “A Rain Pixel Recovery Algorithm for Videos With Highly Dynamic Scenes,’’ IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1097-1104, 2014 [pdf]

Conference

  • [APSIPA] Jie Chen, Lap-Pui Chau and He Li, “Light field depth from multi-scale particle filtering,’’ In Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, pp. 1-6, Jeju, Korea, 2016 [pdf] [bibtex]
  • [ICME] Junhui Hou, Jie Chen, Lap-Pui. Chau, and Y. He, “Sparse Two-Dimensional Singular Value Decomposition,’’ In Proc. IEEE International Conference on Multimedia & Expo, pp. 1-6, Seattle, USA, 2016 [pdf]
  • [ISCAS] Jie Chen, and Lap-Pui Chau. “Heavy Haze Removal in A Learning Framework,’’ In Proc. IEEE International Symposium on Circuits and Systems, pp. 1590-1593, Lisbon, Portugal, 2015 [pdf]
  • [ISCAS] Jie Chen, and Lap-Pui Chau. “A Fast Adaptive Guided Filtering Algorithm for Light Field Depth Interpolation,’’ In Proc. IEEE International Symposium on Circuits and Systems, pp. 2281-2284, Melbourne, Australia, 2014 [pdf] [bibtex]
  • [DSP] Jie Chen, Alexander Matyasko, and Lap-Pui Chau, “A Light Field Sparse Representation Structure and Its Fast Coding Technique,’’ In Proc. IEEE International Conference on Digital Signal Processing, pp. 214-218, Hongkong, China, 2014 [pdf]
  • [DSP] Cheen-Hau Tan, Jie Chen, and Lap-Pui Chau, “Dynamic scene rain removal for moving cameras,’’ In Proc. IEEE International Conference on Digital Signal Processing, pp. 372-376, Hongkong, China, 2014 [pdf] [bibtex]
  • [ISCAS] Jie Chen, and Lap-Pui Chau, “Rain removal from dynamic scene based on motion segmentation,’’ In Proc. IEEE International Symposium on Circuits and Systems, pp. 2139-2142, Beijing, China, 2013
  • [ICIP] Jie Chen, and Lap-Pui Chau, “An Enhanced Window-Variant Dark Channel Prior for Depth Estimation Using Single Foggy Image,’’ In Proc. IEEE International Conference on Image Processing, pp. 3508-3512, Melbourne, Australia, 2013 [pdf]
  • [ICIP] Shuigen Wang, Chenwei Deng, Weisi Lin, Baojun Zhao, and Jie Chen, “A novel SVD-based image quality assessment metric,’’ In Proc. IEEE International Conference on Image Processing, pp. 423-426, Melbourne, Australia, 2013 [pdf]
  • [ICIP] Junhui Hou, Lap-Pui Chau, Ying He, Jie Chen, and Nadia Magnenat-Thalmann, “Human motion capture data recovery via trajectory-based sparse representation,’’ In Proc. IEEE International Conference on Image Processing, pp. 709-713, Melbourne, Australia, 2013 [pdf]