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2020 – today
- 2022
[j3]Yiran Zhong
, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Stereo Matching. Int. J. Comput. Vis. 130(5): 1196-1209 (2022)- [c22]Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Image Manipulation. CVPR 2022: 3367-3376 - [c21]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CVPR 2022: 18113-18123 - [c20]Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chan Young Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Video Generation. ECCV (17) 2022: 34-50 - [c19]Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. ICCS (1) 2022: 372-379 - [c18]Jiahao Su, Wonmin Byeon, Furong Huang:
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. ICML 2022: 20546-20579 - [i15]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CoRR abs/2202.11094 (2022) - [i14]Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. CoRR abs/2202.12358 (2022) - [i13]Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Jihyun Bae, Chan Young Kim, Won Jeong Ryoo, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Video Generation. CoRR abs/2204.09273 (2022) - [i12]Seung Hyun Lee, Chan Young Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim:
Robust Sound-Guided Image Manipulation. CoRR abs/2208.14114 (2022) - [i11]Seung Hyun Lee, Chan Young Kim, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim:
LISA: Localized Image Stylization with Audio via Implicit Neural Representation. CoRR abs/2211.11381 (2022) - 2021
- [c17]Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz:
Weakly-Supervised Physically Unconstrained Gaze Estimation. CVPR 2021: 9980-9989 - [c16]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry:
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. ICCS (5) 2021: 447-461 - [c15]Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz:
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. NeurIPS 2021: 4919-4932 - [i10]Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz:
Weakly-Supervised Physically Unconstrained Gaze Estimation. CoRR abs/2105.09803 (2021) - [i9]Jiahao Su, Wonmin Byeon, Furong Huang:
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. CoRR abs/2106.09121 (2021) - [i8]Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Image Manipulation. CoRR abs/2112.00007 (2021) - 2020
- [c14]Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS 2020 - [i7]Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR abs/2002.09131 (2020) - [i6]Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Efficient Stereo Matching. CoRR abs/2012.00899 (2020) - [i5]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry:
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. CoRR abs/2012.07938 (2020)
2010 – 2019
- 2019
- [j2]Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos:
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications. J. Comput. Sci. 32: 36-43 (2019) - [i4]Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz:
Boosting segmentation with weak supervision from image-to-image translation. CoRR abs/1904.01636 (2019) - 2018
- [c13]Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos:
ContextVP: Fully Context-Aware Video Prediction. CVPR Workshops 2018: 1122-1126 - [c12]Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos:
ContextVP: Fully Context-Aware Video Prediction. ECCV (16) 2018: 781-797 - [i3]Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan, Themistoklis P. Sapsis, Petros Koumoutsakos:
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. CoRR abs/1802.07486 (2018) - 2017
- [i2]Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos:
Fully Context-Aware Video Prediction. CoRR abs/1710.08518 (2017) - 2016
- [b1]Wonmin Byeon:
Image Analysis with Long Short-Term Memory Recurrent Neural Networks. University of Kaiserslautern, 2016 - [c11]Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki:
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) 2016: 347-354 - 2015
- [j1]Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel:
Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging. Pattern Recognit. Lett. 63: 23-29 (2015) - [c10]Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki:
Scene labeling with LSTM recurrent neural networks. CVPR 2015: 3547-3555 - [c9]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Parallel sequence classification using recurrent neural networks and alignment. ICDAR 2015: 581-585 - [c8]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. CoCo@NIPS 2015 - [c7]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. NIPS 2015: 2998-3006 - [i1]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. CoRR abs/1506.07452 (2015) - 2014
- [c6]Wonmin Byeon, Thomas M. Breuel:
Supervised texture segmentation using 2D LSTM networks. ICIP 2014: 4373-4377 - [c5]Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel:
Texture Classification Using 2D LSTM Networks. ICPR 2014: 1144-1149 - 2013
- [c4]Muhammet Bastan, Wonmin Byeon, Thomas M. Breuel:
Object Recognition in Multi-View Dual Energy X-ray Images. BMVC 2013 - [c3]Nibal Nayef, Wonmin Byeon, Thomas M. Breuel:
Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Complexity. GREC 2013: 38-49 - [c2]Wan-Lei Zhao, Wonmin Byeon, Thomas M. Breuel:
On the Detection and Matching of Structures on Less-textured Scenes. VISAPP (1) 2013: 449-454
2000 – 2009
- 2009
- [c1]Wonmin Byeon, Moongu Jeon:
Face Recognition Using Region-Based Nonnegative Matrix Factorization. FGIT-FGCN 2009: 621-628
Coauthor Index
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