[C21] Spatial Representation Distillation and Knowledge Routing for Vision-Language-Action Models
Jungin Park*, Chaoran Zhu*, Changjae Oh, and Kwanghoon Sohn
Conference on Neural Information Processing Systems (NeurIPS), 2026Research output
Publications
In Computer Vision and Machine Learning fields, as opposed to many other disciplines, papers published in top conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML) are regarded as more important and influential than most SCI journals in general. For example, CVPR is the 2nd rank among all academic fields according to google scholar metrics. Oral or spotlight presentations have highly competitive acceptance rates, about < 2%.
*: co-first author · †: co-corresponding author
2026
All publications[C20] V-LynX: Video interface alignment for video+x LLMs
Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†
International Conference on Machine Learning (ICML), 2026[C19] Saliency-aware model merging
Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†
International Conference on Machine Learning (ICML), 20262025
All publications[J2] Geospatial domain adaptation with truncated parameter-efficient fine-tuning
Kwonyoung Kim, Jungin Park, and Kwanghoon Sohn†
IEEE Geoscience and Remote Sensing Letters (GRSL), 2025[J1] Language-guided recursive spatiotemporal graph modeling for video summarization
Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†
International Journal of Computer Vision (IJCV), 2025[C18] Bootstrap your own views: Masked ego-exo modeling for fine-grained view-invariant video representations
Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025[C17] Faster parameter-efficient tuning with token redundancy reduction
Kwonyoung Kim, Jungin Park†, Jin Kim, Hyeongjun Kwon, and Kwanghoon Sohn†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20252024
All publications[C16] Bridging vision and language spaces with assignment prediction
Jungin Park, Jiyoung Lee†, and Kwanghoon Sohn†
International Conference on Learning Representations (ICLR), 20242023
All publications[C15] Knowing where to focus: Event-aware transformer for video grounding
Jinhyun Jang, Jungin Park, Jin Kim, Hyeongjun Kwon, and Kwanghoon Sohn
IEEE/CVF International Conference on Computer Vision (ICCV), 2023[C14] Dual-path adaptation from image to video transformers
Jungin Park*, Jiyoung Lee*, and Kwanghoon Sohn
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023[C13] Partmix: Regularization strategy to learn part discovery for visible-infrared person re-identification
Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, and Kwanghoon Sohn
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023[C12] Language-free training for zero-shot video grounding
Dahye Kim, Jungin Park, Jiyoung Lee, Seongheon Park, and Kwanghoon Sohn
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 20232022
All publications[C11] Pointfix: Learning to fix domain bias for robust online stereo adaptation
Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), 2022[C10] Probabilistic representations for video contrastive learning
Jungin Park, Jiyoung Lee, Ig-Jae Kim, and Kwanghoon Sohn
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022[C9] Pin the memory: Learning to generalize semantic segmentation
Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, and Kwanghoon Sohn
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20222021
All publications[C8] Self-balanced learning for domain generalization
Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), 2021[C7] Bridge to answer: Structure-aware graph interaction network for video question answering
Jungin Park, Jiyoung Lee, and Kwanghoon Sohn
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20212020
All publications[C6] Cross-domain grouping and alignment for domain adaptive semantic segmentation
Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, and Kwanghoon Sohn
AAAI Conference on Artificial Intelligence (AAAI), 2020[C5] Sumgraph: Video summarization via recursive graph modeling
Jungin Park*, Jiyoung Lee*, Ig-Jae Kim, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), 20202019
All publications[C4] Video summarization by learning relationships between action and scene
Jungin Park, Jiyoung Lee, Sangryul Jeon, and Kwanghoon Sohn
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2019[C3] Context-aware emotion recognition networks
Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoon Sohn
IEEE/CVF International Conference on Computer Vision (ICCV), 2019[C2] Graph regularization network with semantic affinity for weakly-supervised temporal action localization
Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), 20192018
All publications[C1] Learning to detect, associate, and recognize human actions and surrounding scenes in untrimmed videos
Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn
ACM Multimedia Workshop (MMW), 2018