Xin Feng's Homepage
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Biography

I am currently a Technical Section Chief in the Information Center of China Tobacco Henan Corp. Our group is the core technical team responsible for advancing applications of product presentations and intelligent manufacturing with cutting-edge computer vision technologies (Image Processing, Anomaly Detection, 3D Vision, AIGC, etc). You can find my CV here.

I obtained my PhD degree in the Computer Science and Technology School of Harbin Institute of Technology, Shenzhen at 2023. I was fortunately supervised by Prof. Guangming Lu and Prof. Wenjie Pei.

I was a research intern in Huawei Noah Ark Lab for low-level vision mentored by Dr. Xueyi Zou and in iQiYi for video summarization mentored by Dr. Ruijin Jin.

Email: fengx_hit@outlook.com

Selected Publications

Conference Papers

  1. Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection

    Xin Feng, Yifeng Xu, Guangming Lu, Wenjie Pei
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
    PDF | Code

  2. Contrastive Feature Decomposition for Image Reflection Removal

    Xin Feng, Haobo Ji, Bo Jiang, Wenjie Pei, Fanglin Chen, Guangming Lu
    IEEE International Conference on Multimedia and Expo (ICME oral), 2021
    PDF | Code

  3. Learning generalizable latent representations for novel degradations in super-resolution

    Fengjun Li1, Xin Feng1, Fanglin Chen, Guangming Lu, Wenjie Pei
    Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022
    PDF

Journal Papers

  1. Deep-masking generative network: A unified framework for background restoration from superimposed images

    Xin Feng, Wenjie Pei, Zihui Jia, Fanglin Chen, Davud Zhang, Guangming Lu
    IEEE Transactions on Image Processing (TIP), 2021
    PDF | Code

  2. Learning Sequence Representations by Non-local Recurrent Neural Memory

    Wenjie Pei1, Xin Feng1, Canmiao Fu, Qiong Cao, Guangming Lu, Yu-Wing Tai
    International Journal of Computer Vision (IJCV), 2022
    PDF | Code

  3. Generative memory-guided semantic reasoning model for image inpainting

    Xin Feng, Wenjie Pei, Fengjun Li, Fanglin Chen, David Zhang, Guangming Lu
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
    PDF

  4. U2-Former: Nested U-Shaped Transformer for Image Restoration via Multi-View Contrastive Learning

    Xin Feng, Haobo Ji, Wenjie Pei, Jinxing Li, Guangming Lu, David Zhang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
    PDF

  5. GAN inversion-based semi-supervised learning for medical image segmentation

    Xin Feng, Jianyong Lin, Chun-Mei Feng, Guangming Lu
    Biomedical Signal Processing and Control, 2024
    PDF | Code

Academic Service

Serve as a reviewer for:
Conferences: CVPR, ICCV, ECCV, ACM MM, AAAI, ACCV, etc.
Journals: TPAMI, TIP, TNNLS, PR, TCSVT, TSMC, CVIU, Applied Soft Computing, Knowledge-Based Systems, Biomedical Signal Processing and Control, Artificial Intelligence in Medicine, etc.

Awards

  1. Outstanding Doctoral Dissertation Award, Shenzhen Association for Artificial Intelligence, 2024
  2. National Scholarships for PhD students (Ranked top 0.2%), Ministry of Education (China), 2022

Research Interests

  • Computer Vision
  • Generative Models
  • Representation Learning
  • 3D Content Generation
  • Image Restoration and Enhancement