2025

  • [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,” accepted for publication in IEEE Transactions on Visualization and Computer Graphics, 2025
  • [ICME] *Jiacheng Wu, *Ruiqi Zhang, Jie Chen, Hui Zhang, “Fast and Physically-based Neural Explicit Surface for Relightable Human Avatars,” IEEE International Conference on Multimedia and Expo, 2025
  • [ICME] Xingxing Yang, Jie Chen, Zaifeng Yang, “Learning Physics-informed Color-aware Transforms for Low-light Image Enhancement,” IEEE International Conference on Multimedia and Expo, 2025
  • [ISCAS] Shuwen Niu, Junkun Jiang and Jie Chen, ‘‘Efficient Real-time Fine-Grained Action Recognition over a Progressive and Hierarchical Classification Framework,” IEEE International Symposium on Circuits and Systems, 2025
  • [ICASSP] Wenpeng Xing, Jie Chen, Zaifeng Yang, Xin Tong, Changting Lin, Meng Han, “NCDI-Diffusion: Neural Contextual and Directional Inversion for Novel View Synthesis through Diffusion Models,” IEEE International Conference on Acoustics, Speech and Signal Processing, 2025

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]