Pinned Repositories
Compact-Transformers
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
Cross-Scale-Non-Local-Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
Matting-Anything
Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.
Neighborhood-Attention-Transformer
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
OneFormer
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Prompt-Free-Diffusion
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, arxiv 2023 / CVPR 2024
Pyramid-Attention-Networks
[IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution
Smooth-Diffusion
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models arXiv 2023 / CVPR 2024
VCoder
VCoder: Versatile Vision Encoders for Multimodal Large Language Models, arXiv 2023 / CVPR 2024
Versatile-Diffusion
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023
SHI Labs's Repositories
SHI-Labs/Cross-Scale-Non-Local-Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
SHI-Labs/Pyramid-Attention-Networks
[IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution
SHI-Labs/Self-Similarity-Grouping
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)
SHI-Labs/Decoupled-Classification-Refinement
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)
SHI-Labs/3D-Point-Cloud-Learning
SHI-Labs/Semi-Supervised-Transfer-Learning
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
SHI-Labs/SGL-Retinal-Vessel-Segmentation
[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.
SHI-Labs/GFR-DSOD
Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)
SHI-Labs/Any-Precision-DNNs
Any-Precision Deep Neural Networks (AAAI 2021)
SHI-Labs/UltraSR-Arbitrary-Scale-Super-Resolution
[Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021
SHI-Labs/Horizontal-Pyramid-Matching
Horizontal Pyramid Matching for Person Re-identification (AAAI 2019)
SHI-Labs/Pseudo-IoU-for-Anchor-Free-Object-Detection
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection
SHI-Labs/Human-Object-Interaction-Detection
SHI-Labs/CompFeat-for-Video-Instance-Segmentation
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation (AAAI 2021)
SHI-Labs/Interpretable-Visual-Reasoning
[ICCV 2021] Interpretable Visual Reasoning via Induced Symbolic Space
SHI-Labs/Mask-Selection-Networks
[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.
SHI-Labs/Activity-Recognition
SHI-Labs/Aneurysm-Segmentation-with-Multi-Teacher-Pseudo-Labels
SHI-Labs/CCNet
A copy of our PyTorch code for CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019). Please follow the repo at speedinghzl/CCNet for updates.
SHI-Labs/SeMask-Segmentation
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.
SHI-Labs/AdaFocusV2
[CVPR 2022] AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
SHI-Labs/AlignSeg
A copy of our code for AlignSeg: Feature-Aligned Segmentation Networks(TPAMI 2021). Please follow speedinghzl/AlignSeg for updates.
SHI-Labs/HigherHRNet-Pose-Estimation
A copy of our code for: HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation (CVPR 2020). Please follow the repo at HRNet/HigherHRNet-Human-Pose-Estimation for updates.
SHI-Labs/Learning-to-Track-without-Video-Annotations
SHI-Labs/micromotion-styleGAN
SHI-Labs/SpotTune
A copy of our code for SpotTune: Transfer Learning through Adaptive Fine-tuning (CVPR 2019). Please follow gyhui14/spottune for updates.