[go: nahoru, domu]

Skip to content
View Aitical's full-sized avatar
๐Ÿš€
March๏ผ
๐Ÿš€
March๏ผ
Block or Report

Block or report Aitical

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
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

  • 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

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

    [TNNLS'23] A Practical Contrastive Learning Framework for Single Image Super-Resolution

    Python 25 2

  3. SCNet SCNet Public

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

    Python 62 7

  4. SSCSR SSCSR Public

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

    6 1

  5. TCSR TCSR Public

    Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution

    26 4

  6. CFSR CFSR Public

    Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach

    36 1