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2020 – today
- 2024
[c12]Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CVPR 2024: 8565-8575- [i13]Hyunyoung Jung
, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CoRR abs/2402.00863 (2024) - 2023
- [c11]Ziyu Wan, Christian Richardt, Aljaz Bozic, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao:
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis. CVPR 2023: 8307-8316 - [i12]Ziyu Wan, Christian Richardt, Aljaz Bozic, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao:
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis. CoRR abs/2304.10537 (2023) - 2022
- [j2]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
2PESNet: Towards online processing of temporal action localization. Pattern Recognit. 131: 108871 (2022) - [c10]Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown:
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. CVPR 2022: 17683-17692 - [c9]Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-image Fusion and Layer Separation. ECCV (7) 2022: 216-232 - [c8]Sejong Yang, Subin Jeon, Seonghyeon Nam, Seon Joo Kim:
Dense Interspecies Face Embedding. NeurIPS 2022 - [i11]Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown:
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. CoRR abs/2206.01813 (2022) - [i10]Gyeongmin Choe, Beibei Du, Seonghyeon Nam, Xiaoyu Xiang, Bo Zhu, Rakesh Ranjan:
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation. CoRR abs/2212.03961 (2022) - 2021
- [j1]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
Temporally smooth online action detection using cycle-consistent future anticipation. Pattern Recognit. 116: 107954 (2021) - [c7]Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim:
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination. ICCV 2021: 2390-2399 - [i9]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
Temporally smooth online action detection using cycle-consistent future anticipation. CoRR abs/2104.08030 (2021) - [i8]Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-Image Fusion and Layer Separation. CoRR abs/2108.01199 (2021) - 2020
- [c6]Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects Through Pose-Attentive Video Reassembling. ECCV (24) 2020: 292-308 - [i7]Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim:
Learning the Loss Functions in a Discriminative Space for Video Restoration. CoRR abs/2003.09124 (2020) - [i6]Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling. CoRR abs/2007.08786 (2020)
2010 – 2019
- 2019
- [c5]Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. CVPR 2019: 1409-1418 - [c4]Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. NeurIPS 2019: 3809-3819 - [i5]Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image. CoRR abs/1904.00680 (2019) - [i4]Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. CoRR abs/1910.02027 (2019) - 2018
- [c3]Seonghyeon Nam, Yunji Kim, Seon Joo Kim:
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. NeurIPS 2018: 42-51 - [i3]Seonghyeon Nam, Yunji Kim, Seon Joo Kim:
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. CoRR abs/1810.11919 (2018) - 2017
- [c2]Seonghyeon Nam, Seon Joo Kim:
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network. ICCV 2017: 1726-1734 - [i2]Seonghyeon Nam, Seon Joo Kim:
Deep Semantics-Aware Photo Adjustment. CoRR abs/1706.08260 (2017) - [i1]Seonghyeon Nam, Seon Joo Kim:
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network. CoRR abs/1707.08350 (2017) - 2016
- [c1]Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, Seon Joo Kim:
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising. CVPR 2016: 1683-1691
Coauthor Index
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