Yi Shan

papers

373

total citations

papers (10)

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

CVPR 2022arXiv

210

citations

Towards Discriminative Representation Learning for Unsupervised Person Re-Identification

ICCV 2021arXiv

citations

Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection

CVPR 2025arXiv

citations

ProgressFace: Scale-Aware Progressive Learning for Face Detection

ECCV 2020

citations

RankDetNet: Delving Into Ranking Constraints for Object Detection

CVPR 2021

citations

Dual Super-Resolution Learning for Semantic Segmentation

CVPR 2020

citations

Improving Low-Precision Network Quantization via Bin Regularization

ICCV 2021

citations

Yi Shan

papers (10)

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

Towards Discriminative Representation Learning for Unsupervised Person Re-Identification

Dynamic Sparse R-CNN

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling

Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection

ProgressFace: Scale-Aware Progressive Learning for Face Detection

RankDetNet: Delving Into Ranking Constraints for Object Detection

Dual Super-Resolution Learning for Semantic Segmentation

Improving Low-Precision Network Quantization via Bin Regularization

papers (10)

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

Towards Discriminative Representation Learning for Unsupervised Person Re-Identification

Dynamic Sparse R-CNN

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling

Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection

ProgressFace: Scale-Aware Progressive Learning for Face Detection

RankDetNet: Delving Into Ranking Constraints for Object Detection

Dual Super-Resolution Learning for Semantic Segmentation

Improving Low-Precision Network Quantization via Bin Regularization