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Son Lam Phung

7 papers · 2021–2025 · 5 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 Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird πŸš€ Conference Pioneer

Venues

CVPR (2) ICCV (2) IJCAI (1) MICCAI (1) WACV (1)

Top co-authors

Minh-Son To (3) Vu Minh Hieu Phan (3) Zhibin Liao (3) Thanh-Dat Truong (2) Johan W. Verjans (2) Yuankai Qi (2) Abdesselam Bouzerdoum (2) Phi Le Nguyen (2) Qi Chen (2) Yutong Xie (2)

Research topics

Computer Vision (5) Analysis (4) Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (2) Application Areas (2) Domain-Specific (2) Learning Types (2) Architectures (1) Core Methods (1) Models (1) Processing (1)

Keywords

semantic segmentation (2) continual learning (1) catastrophic forgetting (1) action recognition (1) temporal modeling (1) domain adaptation (1) object detection (1) medical imaging (1) attention mechanism (1) knowledge distillation (1) visual localization (1) video understanding (1) visual grounding (1) instance segmentation (1) remote sensing (1) maximum likelihood (1) scene segmentation (1) temporal learning (1) object segmentation (1) large multimodal model (1)

Papers

Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering IJCAI 2025 Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding ICCV 2025 Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis MICCAI 2024 UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation WACV 2024 Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation CVPR 2022 DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition CVPR 2022 BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation ICCV 2021