PNU CVLab · Publications

Publications

Papers by PNU CVLab members in international and domestic venues. Lab members are shown in bold.

International

2026
  • Adaptive Classifier-Free Guidance for Robust Image-to-Image Translation

    Bongguk Son, Sangryul Jeon

    IEEE Access, 2026.

  • Dual Visual-Textual Graph Construction for Open-Vocabulary Semantic Segmentation

    Bigyeol Choi, Sangryul Jeon

    IEEE Access, 2026.

2023
  • Local-guided Global: Paired Similarity Representation for Visual Reinforcement Learning

    Hyesong Choi, Hunsang Lee, Wonil Song, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

2022
  • Pyramidal Semantic Correspondence Networks

    Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn

    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

  • COAT: Correspondence-driven Object Appearance Transfer

    Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn

    British Machine Vision Conference (BMVC), 2022. (Spotlight Presentation)

  • Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

    Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim

    Neural Information Processing Systems (NeurIPS), 2022.

  • Unsupervised Scene Sketch to Photo Synthesis

    Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou

    European Conference on Computer Vision Workshop (ECCVW), 2022. – AIM: Advanced in Image Manipulation Workshop and Challenges

2021
  • CATs: Cost Aggregation Transformers for Visual Correspondence

    Seokju Cho*, Sunghwan Hong*, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim

    Neural Information Processing Systems (NeurIPS), 2021. (* indicates equal contribution)

  • Mining Better Samples for Contrastive Learning of Temporal Correspondence

    Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

2020
  • Guided Semantic Flow

    Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn

    European Conference on Computer Vision (ECCV), 2020.

2019
  • Joint Learning of Semantic Alignment and Object Landmark Detection

    Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn

    IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

  • Semantic Attribute Matching Networks

    Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

2018
  • Recurrent Transformer Networks for Semantic Correspondence

    Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn

    Neural Information Processing Systems (NeurIPS), 2018.

  • PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence

    Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn

    European Conference on Computer Vision (ECCV), 2018.

2017
  • FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence

    Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Domestic

2025
  • Dual Affinity Graph Construction for Open-Vocabulary Semantic Segmentation

    Bigyeol Choi, Kyun-dong Kim, Sung-soo Kim, Sangryul Jeon

    Korea Computer Congress (KCC), 2025.

2024
  • Denoising Pixel-Text Alignments driven by Diffusion Process for Open-Vocabulary Semantic Segmentation

    Bigyeol Choi, Sangryul Jeon

    Korean Artificial Intelligence Association Summer Conference (KAIA), 2024.