aitical Goto Github PK

followers: 69.0 following: 212.0 repos: 36.0 gists: 0.0

Name: Gang Wu

Type: User

Company: Harbin Institute of Technology

Bio: Interested in representation learning, and low-level vision problems. Ph.D. student at HIT. Supervised by Prof. Junjun Jiang.

Location: Beijing, China

Blog: https://me.csgwu.site/

Hi there 👋

🏫 I’m currently a 4th-year Ph.D. student at Harbin Institute of Technology. Supervised by Prof. Junjun Jiang.
📔 I’m working on low-level vision problems, and representation learning.

Research

🚀 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

Gang Wu's Projects

active-passive-losses

Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"] https://arxiv.org/abs/2006.13554

awesome-diffusion-for-image-translation

Diffusion for Image-to-Image Translation

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bilibilitool

.Net 5 编写的跨平台的B站（哔哩哔哩）任务工具，通过GitHub Actions实现每日线上自动运行任务：每日自动登录、观看、分享、投币视频，获取每日任务的满额经验，轻松升级Level 6，实现自动领取大会员权益、月底自动为自己充电等功能。

carnd-advanced-lane-lines

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-capstone

carnd-extended-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

carnd-kidnapped-vehicle-project

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-pid-control-project

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

cfsr

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

darknet

Convolutional Neural Networks

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

mailtip

使用python自动发送邮件提交组会汇报、日常记录和作为备份

mclir

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

mmcv

Open MMLab Computer Vision Foundation

nmnet

A simple implementation of DL framework using numpy

ntire23_esr_aiiasr

Implementation of the RepConvFormer for NTIRE 2023 Efficient SR Challenge

pcl-sisr

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

aitical Goto Github PK

Hi there 👋

Research

Award

Academic Services

Gang Wu's Projects

Recommend Projects

Recommend Topics

Recommend Org