Baosheng Yu

papers

1,093

total citations

papers (18)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

CVPR 2022arXiv

248

citations

BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning

CVPR 2022arXiv

citations

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

ECCV 2022arXiv

citations

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

ICCV 2021arXiv

citations

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

ECCV 2022arXiv

citations

Knowledge-Aware Federated Active Learning with Non-IID Data

ICCV 2023arXiv

citations

Discovering Human-Object Interaction Concepts via Self-Compositional Learning

ECCV 2022arXiv

citations

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

ICCV 2025arXiv

citations

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

NEURIPS 2021

citations

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

ICCV 2021

citations

Visual Relationship Transformation

ECCV 2024

citations

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation

NEURIPS 2025arXiv

citations

Learnable Skeleton-Aware 3D Point Cloud Sampling

CVPR 2023

citations

Learning Progressive Point Embeddings for 3D Point Cloud Generation

CVPR 2021

citations

Baosheng Yu

papers (18)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

SynFace: Face Recognition With Synthetic Data

Contrastive Boundary Learning for Point Cloud Segmentation

Affordance Transfer Learning for Human-Object Interaction Detection

Detecting Human-Object Interaction via Fabricated Compositional Learning

BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Knowledge-Aware Federated Active Learning with Non-IID Data

Discovering Human-Object Interaction Concepts via Self-Compositional Learning

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

Visual Relationship Transformation

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation

Learnable Skeleton-Aware 3D Point Cloud Sampling

Learning Progressive Point Embeddings for 3D Point Cloud Generation

papers (18)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

SynFace: Face Recognition With Synthetic Data

Contrastive Boundary Learning for Point Cloud Segmentation

Affordance Transfer Learning for Human-Object Interaction Detection

Detecting Human-Object Interaction via Fabricated Compositional Learning

BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Knowledge-Aware Federated Active Learning with Non-IID Data

Discovering Human-Object Interaction Concepts via Self-Compositional Learning

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

Visual Relationship Transformation

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation

Learnable Skeleton-Aware 3D Point Cloud Sampling

Learning Progressive Point Embeddings for 3D Point Cloud Generation