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Aitical/README.md

Hi there ๐Ÿ‘‹

  • ๐Ÿซ Iโ€™m currently a 4th-year Ph.D. student at Harbin Institute of Technology. Supervised by Prof. Junjun Jiang.
  • ๐Ÿ“” Iโ€™m working on low-level vision problems, and representation learning.

Hits WeChat

Research

  • Debiased All-in-One Image Restoration with Task Uncertainty Regularization Under Reviewing

  • Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach IEEE Transactions on Image Processing

  • Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration ACM MM 24

  • ๐Ÿš€ Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI`24

  • A Practical Contrastive Learning Framework for Single-Image Super-Resolution IEEE Transactions on Neural Networks and Learning Systems

  • Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution arXiv preprint

  • Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution MIR 24

  • Exploring the Self-Supervised Constraints in Image Super-Resolution ICME 24 Oral

  • GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting CVPRW'22

  • No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML'23

  • Zero-Mean Regularized Spectral Contrastive Learning ICLR'24

  • Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training ECCV`24

Award

ICRA`23: RoboDepth: Robust Out-of-Distribution Depth Estimation, the 3rd in Track1, Innovative Prize in Track 2 Report

Academic Services

  • Conference Reviewer

    • ICML 2022
    • ICASSP 2022, 2023, 2024
    • ICME 2022, 2023, 2024
    • ICLR 2024
  • Journal Reviewer

    • TNNLS
    • TMM
    • TIP
    • TCSVT
    • Information Fusion

Pinned Loading

  1. MCLIR MCLIR Public

    [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

    32 3

  2. PCL-SISR PCL-SISR Public

    [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution

    Python 28 2

  3. CFSR CFSR Public

    [IEEE TIP] Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach

    Python 49 2

  4. Art Art Public

    [ACM MM 24] Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration

    Python 4 1

  5. SCNet SCNet Public

    [MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution

    Python 72 7

  6. SSCSR SSCSR Public

    [ICME 24 Oral] Exploiting Self-Supervised Constraints in Image Super-Resolution

    9 1