Sangmin Woo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
12
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Diffusion Language Model Inference with Monte Carlo Tree Search. | Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong |
| 2026 | EACL | Learning to Ideate for Machine Learning Engineering Agents. | Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong |
| 2025 | AAAI | Diffusion Model Patching via Mixture-of-Prompts. | Seokil Ham, Sangmin Woo, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim |
| 2025 | ACL | Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models. | Sangmin Woo, Donguk Kim, Jaehyuk Jang, Yubin Choi, Changick Kim |
| 2025 | CVPR | Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation. | Seokil Ham, Hee-Seon Kim, Sangmin Woo, Changick Kim |
| 2025 | EMNLP | A Systematic Survey of Automatic Prompt Optimization Techniques. | Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong |
| 2025 | NAACL | Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. | Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong |
| 2024 | CVPR | HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D. | Sangmin Woo, Byeongjun Park, Hyojun Go, Jin-Young Kim, Changick Kim |
| 2024 | ECCV | Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition. | Sumin Lee, Yooseung Wang, Sangmin Woo, Changick Kim |
| 2024 | ECCV | Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition. | Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Jinyoung Park, Yooseung Wang, Donguk Kim, Changick Kim |
| 2024 | ECCV | Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts. | Byeongjun Park, Hyojun Go, Jin-Young Kim, Sangmin Woo, Seokil Ham, Changick Kim |
| 2024 | ICLR | Denoising Task Routing for Diffusion Models. | Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim |
| 2024 | WACV | Sketch-based Video Object Localization. | Sangmin Woo, So-Yeong Jeon, Jinyoung Park, Minji Son, Sumin Lee, Changick Kim |
| 2023 | AAAI | Towards Good Practices for Missing Modality Robust Action Recognition. | Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim |
| 2023 | ICCV | Audio-Visual Glance Network for Efficient Video Recognition. | Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim |
| 2023 | WACV | Modality Mixer for Multi-modal Action Recognition. | Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim |
| 2023 | VCIP | Multi-modal Social Group Activity Recognition in Panoramic Scene. | Donguk Kim, Sumin Lee, Sangmin Woo, Jinyoung Park, Muhammad Adi Nugroho, Changick Kim |
| 2023 | VCIP | AHFu-Net: Align, Hallucinate, and Fuse Network for Missing Multimodal Action Recognition. | Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim |
| 2022 | ICIP | Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images. | Jeongsoo Kim, Sangmin Woo, Byeongjun Park, Changick Kim |