Publications

2025

1. CVPR 2025 - Highlight

   Multirate Neural Image Compression with Adaptive Lattice Vector Quantization

   Hao Xu, Xiaolin Wu, and Xi Zhang

   IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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   @inproceedings{xu2025multirate,
     title = {Multirate Neural Image Compression with Adaptive Lattice Vector Quantization},
     author = {Xu, Hao and Wu, Xiaolin and Zhang, Xi},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {},
     year = {2025},
   }

2024

1. arXiv

   FLLIC: Functionally Lossless Image Compression

   Xi Zhang, and Xiaolin Wu

   arXiv preprint arXiv:2401.13616, 2024

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   @article{zhang2024fllic,
     title = {FLLIC: Functionally Lossless Image Compression},
     author = {Zhang, Xi and Wu, Xiaolin},
     journal = {arXiv preprint arXiv:2401.13616},
     year = {2024},
   }

2. NeurIPS 2024

   Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

   Xi Zhang, and Xiaolin Wu

   Advances in Neural Information Processing Systems, 2024

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   @inproceedings{zhang2024learning,
     title = {Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {37},
     year = {2024},
   }

3. ECCV 2024

   Fast Point Cloud Geometry Compression with Context-Based Residual Coding and INR-Based Refinement

   Hao Xu, Xi Zhang, and Xiaolin Wu

   European Conference on Computer Vision, 2024

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   @inproceedings{xu2024fast,
     title = {Fast Point Cloud Geometry Compression with Context-Based Residual Coding and INR-Based Refinement},
     author = {Xu, Hao and Zhang, Xi and Wu, Xiaolin},
     booktitle = {European Conference on Computer Vision},
     pages = {270--288},
     year = {2024},
     organization = {Springer},
   }

4. JVCI 2024

   Low-complexity ℓ∞-compression of light field images with a deep-decompression stage

   M Umair Mukati, Xi Zhang, Xiaolin Wu, and Søren Forchhammer

   Journal of Visual Communication and Image Representation, 2024

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   @article{mukati2024low,
     title = {Low-complexity ℓ∞-compression of light field images with a deep-decompression stage},
     author = {Mukati, M Umair and Zhang, Xi and Wu, Xiaolin and Forchhammer, S{\o}ren},
     journal = {Journal of Visual Communication and Image Representation},
     volume = {99},
     pages = {104072},
     year = {2024},
     publisher = {Elsevier},
   }

2023

1. arXiv

   Dual-layer image compression via adaptive downsampling and spatially varying upconversion

   Xi Zhang, and Xiaolin Wu

   arXiv preprint arXiv:2302.06096, 2023

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   @article{zhang2023dual,
     title = {Dual-layer image compression via adaptive downsampling and spatially varying upconversion},
     author = {Zhang, Xi and Wu, Xiaolin},
     journal = {arXiv preprint arXiv:2302.06096},
     year = {2023},
   }

2. CVPR 2023

   Lvqac: Lattice vector quantization coupled with spatially adaptive companding for efficient learned image compression

   Xi Zhang, and Xiaolin Wu

   IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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   @inproceedings{zhang2023lvqac,
     title = {Lvqac: Lattice vector quantization coupled with spatially adaptive companding for efficient learned image compression},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {10239--10248},
     year = {2023},
   }

2022

1. TPAMI 2022

   Multi-modality deep restoration of extremely compressed face videos

   Xi Zhang, and Xiaolin Wu

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

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   @article{zhang2022multi,
     title = {Multi-modality deep restoration of extremely compressed face videos},
     author = {Zhang, Xi and Wu, Xiaolin},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume = {45},
     number = {2},
     pages = {2024--2037},
     year = {2022},
     publisher = {IEEE},
   }

2021

1. CVPR 2021

   Attention-guided image compression by deep reconstruction of compressive sensed saliency skeleton

   Xi Zhang, and Xiaolin Wu

   IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

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   @inproceedings{zhang2021attention,
     title = {Attention-guided image compression by deep reconstruction of compressive sensed saliency skeleton},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {13354--13364},
     year = {2021},
   }

2. TIP 2021

   Ultra high fidelity deep image decompression with l∞-constrained compression

   Xi Zhang, and Xiaolin Wu

   IEEE Transactions on Image Processing, 2021

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   @article{zhang2020ultra,
     title = {Ultra high fidelity deep image decompression with l∞-constrained compression},
     author = {Zhang, Xi and Wu, Xiaolin},
     journal = {IEEE Transactions on Image Processing},
     volume = {30},
     pages = {963--975},
     year = {2021},
     publisher = {IEEE},
   }

2020

1. NeurIPS 2020

   On numerosity of deep neural networks

   Xi Zhang, and Xiaolin Wu

   Advances in Neural Information Processing Systems, 2020

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   @inproceedings{zhang2020numerosity,
     title = {On numerosity of deep neural networks},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {1820--1829},
     year = {2020},
   }

2. CVPR 2020 - Oral

   Davd-net: Deep audio-aided video decompression of talking heads

   Xi Zhang, Xiaolin Wu, Xinliang Zhai, Xianye Ben, and Chengjie Tu

   IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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   @inproceedings{zhang2020davd,
     title = {Davd-net: Deep audio-aided video decompression of talking heads},
     author = {Zhang, Xi and Wu, Xiaolin and Zhai, Xinliang and Ben, Xianye and Tu, Chengjie},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {12335--12344},
     year = {2020},
   }

3. ACM MM 2020

   Deep multi-modality soft-decoding of very low bit-rate face videos

   Yanhui Guo, Xi Zhang, and Xiaolin Wu

   ACM International Conference on Multimedia, 2020

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   @inproceedings{guo2020deep,
     title = {Deep multi-modality soft-decoding of very low bit-rate face videos},
     author = {Guo, Yanhui and Zhang, Xi and Wu, Xiaolin},
     booktitle = {ACM International Conference on Multimedia},
     pages = {3947--3955},
     year = {2020},
   }

2019

1. AAAI 2019 - Spotlight

   Cognitive deficit of deep learning in numerosity

   Xi Zhang, Xiaolin Wu, and Xiao Shu

   AAAI conference on artificial intelligence, 2019

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   @inproceedings{wu2019cognitive,
     title = {Cognitive deficit of deep learning in numerosity},
     author = {Zhang, Xi and Wu, Xiaolin and Shu, Xiao},
     booktitle = {AAAI conference on artificial intelligence},
     volume = {33},
     number = {01},
     pages = {1303--1310},
     year = {2019},
   }

2. ICASSP 2019

   Nonlinear prediction of multidimensional signals via deep regression with applications to image coding

   Xi Zhang, and Xiaolin Wu

   IEEE International Conference on Acoustics, Speech and Signal Processing, 2019

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   @inproceedings{zhang2019nonlinear,
     title = {Nonlinear prediction of multidimensional signals via deep regression with applications to image coding},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
     pages = {1602--1606},
     year = {2019},
     organization = {IEEE},
   }

3. DCC 2019

   Near-lossless ℓ∞-constrained image decompression via deep neural network

   Xi Zhang, and Xiaolin Wu

   Data Compression Conference, 2019

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   @inproceedings{zhang2019near,
     title = {Near-lossless ℓ∞-constrained image decompression via deep neural network},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {Data Compression Conference},
     pages = {33--42},
     year = {2019},
     organization = {IEEE},
   }

2017

1. VCIP 2017

   Illumination invariant feature based on neighboring radiance ratio

   Xi Zhang, and Xiaolin Wu

   IEEE Visual Communications and Image Processing, 2017

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   @inproceedings{zhang2017illumination,
     title = {Illumination invariant feature based on neighboring radiance ratio},
     author = {Zhang, Xi and Wu, Xiaolin},
     booktitle = {IEEE Visual Communications and Image Processing},
     pages = {1--4},
     year = {2017},
     organization = {IEEE},
   }