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Northeastern University, BME
- Shenyang, China
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[NeurIPS 2024] official code release for our paper "Revisiting the Integration of Convolution and Attention for Vision Backbone".
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis (CVPR2020)
A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
Integrating Multi-modal MRI Images and Medical Foundation Model for Accurate and Automated Prostate Cancer Segmentation
[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis
Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020
Official Keras & PyTorch Implementation and Pre-trained Models for TransVW
Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022
[MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
Code release for ConvNeXt V2 model
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
The supplementary code for the pulmonary artery-vein segmentation with various inter-slice thickness
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration
[ICCV2023] Implementation of "Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution"
[TPAMI 2025] Implementation of "Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution"
Official code for "AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation" (CVPR2023)
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation, CVPR2023
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)
Official implementation of our CVPR2023 paper "A Unified Pyramid Recurrent Network for Video Frame Interpolation"
Official pytorch implementation of paper "RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution"
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 …
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"