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Conferences
Sangmin Woo
12 papers at tracked venues · 5 at CORE A* · active 2024–2026
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Venues
ECCV
×3
CVPR
×2
EACL
×2
AAAI
×1
ACL
×1
EMNLP
×1
ICLR
×1
NAACL
×1
Frequent coauthors
Seokil Ham
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×2
Byeongjun Park
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Zheng Huang
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×1
Yunxiang Zhang
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×1
Kiran Ramnath
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×1
Muhammad Adi Nugroho
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×1
Sumin Lee
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×1
Papers
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
·
Zheng Huang
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Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
·
Yunxiang Zhang
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A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
·
Kiran Ramnath
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Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
NAACL 2025
·
Sangmin Woo
Diffusion Model Patching via Mixture-of-Prompts
AAAI 2025
·
Seokil Ham
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Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
ACL 2025
·
Sangmin Woo
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
CVPR 2025
·
Seokil Ham
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Denoising Task Routing for Diffusion Models
ICLR 2024
·
Byeongjun Park
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Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
ECCV 2024
·
Muhammad Adi Nugroho
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HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
CVPR 2024
·
Sangmin Woo
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
ECCV 2024
·
Sumin Lee
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Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts
ECCV 2024
·
Byeongjun Park
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