Browse "School of Computing(전산학부)" by Author Lee, Honglak

Showing results 1 to 10 of 10

1
Adversarial defense via learning to generate diverse attacks

Jang, Yunseok; Zhao, Tianchen; Hong, Seunghoon; Lee, Honglak, 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019, pp.2740 - 2749, Institute of Electrical and Electronics Engineers Inc., 2019-10-29

2
Decomposing motion and content for natural video sequence prediction

Villegas, Ruben; Yang, Jimei; Hong, Seunghoon; Lin, Xunyu; Lee, Honglak, 5th International Conference on Learning Representations, ICLR 2017, International Conference on Learning Representations, ICLR, 2017-04-24

3
Diversity-sensitive conditional generative adversarial networks

Hong, Seunghoon; Yang, Dingdong; Jang, Yunseok; Zhao, Tianchen; Lee, Honglak, 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, ICLR, 2019-05-06

4
High-Fidelity Synthesis with Disentangled Representation

Lee, Wonkwang; Kim, Donggyun; Hong, Seunghoon; Lee, Honglak, European Conference on Computer Vision, European Conference on Computer Vision, 2020-08-23

5
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis

Hong, Seunghoon; Yang, Dingdong; Choi, Jongwook; Lee, Honglak, 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018, pp.7986 - 7994, IEEE Computer Society, 2018-06-18

6
Learning hierarchical semantic image manipulation through structured representations

Hong, Seunghoon; Yan, Xinchen; Huang, Thomas; Lee, Honglak, 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, pp.2708 - 2718, Neural information processing systems foundation, 2018-12-02

7
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Hong, Seunghoon; Oh, Junhyuk; Lee, Honglak; Han, Bohyung, 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, pp.3204 - 3212, IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-26

8
Pure Transformers are Powerful Graph Learners

Kim, Jinwoo; Nguyen, Tien Dat; Min, Seonwoo; Cho, Sungjun; Lee, Moontae; Lee, Honglak; Hong, Seunghoon, Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Neural information processing systems foundation, 2022-11-29

9
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Lee, Wonkwang; Jung, Whie; Zhang, Han; Chen, Ting; Koh, Jing Yu; Huang, Thomas; Yoon, Hyungsuk; et al, International Conference on Learning Representations, ICLR 2021, International Conference on Learning Representations, ICLR, 2021-05-06

10
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost

Cho, Sungjun; Min, Seonwoo; Kim, Jinwoo; Lee, Moontae; Lee, Honglak; Hong, Seunghoon, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11-29

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