2026
Jihwan Park, Taehoon song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim
AAAI Conference on Artificial Intelligence (AAAI), 2026 (Oral Presentation)
[C9] TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing
Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
AAAI Conference on Artificial Intelligence (AAAI), 2026
2025
[C8] Representation Shift: Unifying Token Compression with FlashAttention
Joonmyung Choi*, Sanghyeok Lee*, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim
International Conference on Computer Vision (ICCV), 2025
Collaboration with Adobe Research
[C7] EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[J1] Parameter-Efficient Fine-Tuning via Meta-Regularizer
Jinyoung Park, Juyeon Ko, Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
International Journal of Computer Vision (IJCV), 2025. (Impact Factor:9.3)
[U] GraphEvo-R1: Graph Evolution with Reinforcement Learning for Retrieval Augmented Generation
Jinyoung Park, Sanghyeok Lee, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
under review
Collaboration with Amazon
[U] SuperClip Pyramid with Positional Parameterization for Video Temporal Grounding
Sanghyeok Lee, Juyeon Ko, Joonmyung Choi, Jongha Kim, Hyunwoo J. Kim
under review
Collaboration with KT Gen AI Lab
[U] DocPrune : Understanding Document Layouts for Efficient Token Compression in Question Answering
Joonmyung Choi, Sanghyeok Lee, Jongha Kim, Sehyung Kim, Dohwan Ko, Jihyung Kil, Hyunwoo J. Kim
under review
Collaboration with Adobe Research
[U] MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
Dohwan Ko, Jinyoung Park, Seoung Choi, Sanghyeok Lee, Seohyun Lee, Hyunwoo J. Kim
under review
2024
[C6] vid-TLDR: Training Free Token merging for Light-weight Video Transformer
Joonmyung Choi*, Sanghyeok Lee*, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[C5] Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
Sanghyeok Lee*, Joonmyung Choi*, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Juhan Cha*, Minseok Joo*, Jihwan Park, Sanghyeok Lee, Injae Kim, Hyunwoo J. Kim
arxiv preprint
2023
[C4] Read-only Prompt Optimization for Vision-Language Few-shot Learning
DongJun Lee*, Seokwon Song*, Jihee Suh, Joonmyung Choi, Sanghyeok Lee, Hyunwoo J. Kim
International Conference on Computer Vision (ICCV), 2023
[C3] Self-positioning Point-based Transformer for Point Cloud Understanding
Jinyoung Park*, Sanghyeok Lee*, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Collaboration with Meta Reality Labs
2022
[C2] SageMix: Saliency-Guided Mixup for Point Clouds
Sanghyeok Lee*, Minkyu Jeon*, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
Conference on Neural Information Processing Systems (NeurIPS), 2022
Collaboration with Meta Reality Labs
2021
[C1] Point Cloud Augmentation with Weighted Local Transformations
Sihyeon Kim*, Sanghyeok Lee*, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
International Conference on Computer Vision (ICCV), 2021
Collaboration with University of Pittsburgh