publications

  1. Neural Image Representations for Multi-Image Fusion and Layer Separation Seonghyeon Nam, Marcus A. Brubaker, and Michael S. Brown In Proceedings of the European Conference on Computer Vision (ECCV) 2022 [arXiv] [Project Page]
  2. 2PESNet: Towards Online Processing of Temporal Action Localization Young Hwi Kim, Seonghyeon Nam, and Seon Joo Kim Pattern Recognition 2022 [Link]
  3. Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, and Michael S. Brown In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [arXiv]
  4. Temporally Smooth Online Action Detection using Cycle-consistent Future Anticipation Young Hwi Kim, Seonghyeon Nam, and Seon Joo Kim Pattern Recognition 2021 [Link]
  5. Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination Dongyoung Kim, Jin Woo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, Byungin Yoo, Jae-Joon Han, and Seon Joo Kim In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2021 [Link]
  6. Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, and Seon Joo Kim In Proceedings of the European Conference on Computer Vision (ECCV) 2020 [arXiv]
  7. Learning the Loss Functions in a Discriminative Space for Video Restoration Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, and Seon Joo Kim arXiv preprint arXiv:2003.09124 2020 [arXiv]
  8. End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, and Seon Joo Kim In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 [PDF] [Supp]
  9. Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction Yunji Kim, Seonghyeon Nam, In Cho, and Seon Joo Kim In Advances in Neural Information Processing Systems (NeurIPS) 2019 [arXiv] [Github] [Media]
  10. Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language Seonghyeon Nam, Yunji Kim, and Seon Joo Kim In Advances in Neural Information Processing Systems (NeurIPS) 2018
    [Spotlight (168/4856, acceptance rate 3.5%)]     [PDF] [Supp] [Github]
  11. Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network Seonghyeon Nam, and Seon Joo Kim In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2017 [PDF] [Supp]
  12. Deep Semantics-Aware Photo Adjustment Seonghyeon Nam, and Seon Joo Kim arXiv preprint arXiv:1706.08260 2017 [arXiv]
  13. A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, and Seon Joo Kim In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
    [Spotlight (acceptance rate 9.7%)]     [Project Page] [PDF] [Supp]