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(# denotes equal contribution; * denotes corresponding author)
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E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors
Jinxiu Liang#,
Bohan Yu#,
Yixin Yang,
Yiming Han, and
Boxin Shi
Technical Report, arXiv: 2407.08231, 2024
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EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu,
Jieji Ren,
Jin Han,
Feishi Wang,
Jinxiu Liang,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
(Best Paper Runners-Up Award🥈)
[Project page] /
[Code] /
[Video]
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Latency Correction for Event-guided Deblurring and Frame Interpolation
Yixin Yang,
Jinxiu Liang,
Bohan Yu,
Yan Chen,
Jimmy Ren,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Video]
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Language-guided Image Reflection Separation
Haofeng Zhong,
Yuchen Hong,
Shuchen Weng,
Jinxiu Liang,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain
Hanyue Lou#,
Jinxiu Liang#,
Minggui Teng,
Bin Fan,
Yong Xu,
and
Boxin Shi
The 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[Code]
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Detail-Preserving Diffusion Models for Low-Light Image Enhancement
Yan Huang,
Xiaoshan Liao,
Jinxiu Liang*,
Boxin Shi,
Yong Xu,
and Patrick Le Callet
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
[Code]
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L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model
Yuchen Hong,
Haofeng Zhong,
Shuchen Weng,
Jinxiu Liang,
and
Boxin Shi
European Conference on Computer Vision (ECCV), 2024
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Light Flickering Guided Reflection Removal
Yuchen Hong,
Yakun Chang,
Jinxiu Liang,
Lei Ma,
Tiejun Huang,
and
Boxin Shi
International Journal of Computer Vision (IJCV), 2024
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Latency Correction for Event-guided Deblurring and Frame Interpolation
Yixin Yang,
Jinxiu Liang,
Bohan Yu,
Yan Chen,
Jimmy Ren,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu,
Jieji Ren,
Jin Han,
Feishi Wang,
Jinxiu Liang,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Language-guided Image Reflection Separation
Haofeng Zhong,
Yuchen Hong,
Shuchen Weng,
Jinxiu Liang,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Light Flickering Guided Reflection Removal
Yuchen Hong,
Yakun Chang,
Jinxiu Liang,
Lei Ma,
Tiejun Huang,
and
Boxin Shi
International Journal of Computer Vision (IJCV), 2024
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Coherent Event Guided Low-Light Video Enhancement
Jinxiu Liang,
Yixin Yang,
Boyu Li,
Peiqi Duan,
Yong Xu,
and
Boxin Shi
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Project page] /
[Code] /
[Video]
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Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition
Jipeng Lv,
Heng Guo,
Guanying Chen,
Jinxiu Liang, and
Boxin Shi
International Joint Conference on Artificial Intelligence (IJCAI), 2023
[Code]
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Learning Event Guided High Dynamic Range Video Reconstruction
Yixin Yang,
Jin Han,
Jinxiu Liang,
Imari Sato,
and
Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Project page] /
[Code] /
[Video]
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Deblurring Low-Light Images with Events
Chu Zhou,
Minggui Teng,
Jin Han,
Jinxiu Liang,
Chao Xu,
Gang Cao,
and
Boxin Shi
International Journal of Computer Vision (IJCV), 2023
[Code]
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MARN: Multi-level Attentional Reconstruction Networks for Weakly Supervised Video Temporal Grounding
Yijun Song,
Jingwen Wang,
Lin Ma,
Jun Yu,
Jinxiu Liang,
Liu Yuan,
and
Zhou Yu
Neurocomputing, 2022
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Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors
Jinxiu Liang,
Yong Xu,
Yuhui Quan,
Boxin Shi, and
Hui Ji
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
[Code]
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Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang,
Jingwen Wang,
Yuhui Quan,
Tianyi Chen,
Jiaying Liu,
Haibin Ling, and
Yong Xu
IEEE Transactions on Multimedia (TMM), 2022
[Code]
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Encoding Spatial Distribution of Convolutional Features for Texture Representation
Yong Xu,
Feng Li,
Zhile Chen,
Jinxiu Liang, and
Yuhui Quan
Conference on Neural Information Processing Systems (NeurIPS), 2021
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Deep Bilateral Retinex for Low-Light Image Enhancement
Jinxiu Liang,
Yong Xu,
Yuhui Quan,
Jingwen Wang,
Haibin Ling, and
Hui Ji
Technical Report, arXiv: 2007.02018, 2020
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Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
Wenhan Yang,
Ye Yuan,
Wenqi Ren,
Jiaying Liu,
Walter J. Scheirer,
Zhangyang Wang, ...,
Jinxiu Liang, ...
IEEE Transactions on Image Processing (TIP), 2020
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Barzilai–Borwein-Based Adaptive Learning Rate for Deep Learning
Jinxiu Liang,
Yong Xu,
Chenglong Bao,
Yuhui Quan, and
Hui Ji
Pattern Recognition Letters (PRL), 2019
[Code]
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Conference Reviewer: CVPR'22, ECCV'22, AAAI'23, CVPR'23, ICCV'23, CVPR'24, ECCV'24, NeurIPS'24
Journal Reviewer: IJCV, IEEE TIP, IEEE TMM, IEEE TIM, Neurocomputing
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Best Paper Runner-Up, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Top Reviewer, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Outstanding Reviewer Award, International Journal of Computer Vision (IJCV), 2023
Second Prize of Guangdong Science and Technology Progress Award, 2020
Guangdong Outstanding Student Leader, 2011
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Guest Lecturer, Computational Photography, Peking University, Spring 2022-2023
Teaching Assistant, Visual Computing, South China University of Technology, Spring 2017-2020
Teaching Assistant, Cryptography and Security Protocol, South China University of Technology, Fall 2016-2020
Vice President, the 36th Student Union of South China University of Technology, 2015
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