Hao Bian

5 papers · 2021–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICCV (2) AAAI (1) MIDL (1) NeurIPS (1)

Top co-authors

yongbing zhang (4) Zhuchen Shao (3) Yang Chen (3) Yifeng Wang (3) Haoqian Wang (2) Jian Zhang (2) Guojun Liu (1) Yulun Zhang (1) Xiangyang Ji (1) Yuanhao Cai (1)

Research topics

Computer Vision (5) Deep Learning (5) Machine Learning (4) Architectures (4) Learning Types · Machine Learning (4) Domain-Specific (3) Analysis (1) Core AI (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

multiple instance learning (3) whole slide image (3) image restoration (1) medical imaging (1) weakly supervised learning (1) denoising (1) illumination estimation (1) retinex theory (1) survival prediction (1) hierarchical attention (1) pathology diagnosis (1) computational pathology (1) low-light image enhancement (1) non-local interaction (1) semi-supervised segmentation (1) boundary feature (1) illumination-guided transformer (1) noisy pseudo-label (1) nuclei instance segmentation (1) contrastive learning (1)

Papers

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation MIDL 2024 HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image AAAI 2023 LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image ICCV 2023 Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement ICCV 2023 TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification NeurIPS 2021