Name: Gaochang Wu
Type: User
Company: Northeastern University
Bio: I'm an associate professor/PhD supervisor in the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China.
Location: Shenyang, China
Blog: https://gaochangwu.github.io/
Gaochang Wu's Projects
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
A Collection of Papers and Datasets for Light Field Image Super-Resolution
Open Source Light Field Toolbox for Super-Resolution
Implement CBAM:Convolutional Block Attention Module with TensorFlow
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Reproduce selected deep learning models from scratch in PyTorch
Fourier Domain Adaptation for Semantic Segmentation
It is a submition for ICME 2020 Grand Challenge on Densely Sampled Light Field Reconstruction
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Gaochang Wu's Homepage
[TMI 2024] "High-Frequency Space Diffusion Model for Accelerated MRI"
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
for ICME 2020 challenge on densly-sampled light field reconstruction
Repository for "Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion", IEEE TPAMI 2020
Matlab demo code for "Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications" (TPAMI 2019)
Code release for Local Light Field Fusion at SIGGRAPH 2019
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
PyTorch implementations of Generative Adversarial Networks.
Spatial-Angular Attention Network for Light Field Reconstruction
face detection implement by python
ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
Learning Sheared EPI Structure for Light Field Reconstruction
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution