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← Authors

Baosheng Yu

25 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (57)
πŸ—ΊοΈ Taxonomy Completionist (57) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸš€ Conference Pioneer πŸ’Ž Century Club (22) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (97) ⚑ Prolific Year (7)

Conferences

CVPR (7) ICCV (6) ECCV (5) AAAI (4) ACL (1) IJCAI (1) NIPS (1)

Top co-authors

Dacheng Tao (13) Yibing Zhan (8) Zhi Hou (4) Liu Liu (3) Bo Du (3) Jiayan Qiu (2) Mingming Gong (2) Kanxue Li (2) Cheng Wen (2) Yu Qiao (2)

Keywords

graph neural network (4) contrastive learning (3) representation learning (2) deep neural network (2) semantic segmentation (2) domain adaptation (2) long-tailed distribution (2) attention mechanism (2) human-object interaction detection (2) foundation model (2) self-supervised learning (2) anomaly detection (1) variational inference (1) domain generalization (1) active learning (1) false discovery rate (1) embedding learning (1) semi-supervised learning (1) 3d reconstruction (1) object detection (1)

Papers

Remodeling Semantic Relationships in Vision-Language Fine-Tuning AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection ICCV 2025 MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models IJCAI 2024 Visual Relationship Transformation ECCV 2024 Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023 Learnable Skeleton-Aware 3D Point Cloud Sampling CVPR 2023 Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism ECCV 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022 Contrastive Boundary Learning for Point Cloud Segmentation CVPR 2022 BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022 Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers CVPR 2022 MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis ECCV 2022 Discovering Human-Object Interaction Concepts via Self-Compositional Learning ECCV 2022 Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021 SynFace: Face Recognition With Synthetic Data ICCV 2021 TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition ICCV 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NIPS 2021 Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021 Affordance Transfer Learning for Human-Object Interaction Detection CVPR 2021 Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020 Deep Metric Learning With Tuplet Margin Loss ICCV 2019 Correcting the Triplet Selection Bias for Triplet Loss ECCV 2018