Showing results 2 to 39 of 39
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 |
Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks Kim, Woo Jae; Hong, Seunghoon; Yoon, Sung-eui, IEEE International Conference on Image Processing, The Institute of Electrical and Electronics Engineers Signal Processing Society, 2022-10-19 |
DIVERSE GENERATIVE PERTURBATIONS ON ATTENTION SPACE FOR TRANSFERABLE ADVERSARIAL ATTACKS Kim, Woo Jae; Hong, Seunghoon; Yoon, Sung-Eui, 29th IEEE International Conference on Image Processing, ICIP 2022, pp.281 - 285, IEEE Computer Society, 2022-10 |
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 |
Equivariant Hypergraph Neural Networks Kim, Jinwoo; Oh, Saeyoon; Cho, Sungjun; Hong, Seunghoon, European Conference on Computer Vision, ECCV 2022, pp.86 - 103, European Conference on Computer Vision, 2022-10-23 |
Hierarchical decomposition of generative models for high-fidelity image and video synthesis = 고품질 영상 합성을 위한 계층적 및 분리적 기법 기반 생성 모델에 대한 연구link Lee, Won-Kwang; Hong, Seunghoon; et al, 한국과학기술원, 2022 |
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 |
Improving adversarial transferability with worst-case aware attacks = 적대적 공격의 전이가능성 개선을 위한 최악 인지 공격 기법 연구link Myung, Sunghyun; Hong, Seunghoon; et al, 한국과학기술원, 2023 |
Improving Unsupervised Image Clustering With Robust Learning Park, Sungwon; Han, Sungwon; Kim, Sungdong; Kim, Danu; Park, Sungkyu; Hong, Seunghoon; Cha, Meeyoung, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.12278 - 12287, IEEE/CVF, 2021-06-21 |
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 |
Information-Theoretic State Space Model for Multi-View Reinforcement Learning Hwang, HyeongJoo; Seo, Seokin; Jang, Youngsoo; Kim, Sungyoon; Kim, Geon-Hyeong; Hong, Seunghoon; Kim, Kee-Eung, 40th International Conference on Machine Learning, ICML 2023, pp.14249 - 14282, ML Research Press, 2023-07-23 |
Joint Image Clustering and Labeling by Matrix Factorization Hong, Seunghoon; Choi, Jonghyun; Feyereisl, Jan; Han, Bohyung; Davis, Larry S., IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.38, no.7, 2016-07 |
LEARNING CONTINUOUS REPRESENTATION OF AUDIO FOR ARBITRARY SCALE SUPER RESOLUTION Kim, Jaechang; Lee, Yunjoo; Hong, Seunghoon; Ok, Jungseul, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.3703 - 3707, Institute of Electrical and Electronics Engineers Inc., 2022-05-23 |
Learning deconvolution network for semantic segmentation Noh, Hyeonwoo; Hong, Seunghoon; Han, Bohyung, 15th IEEE International Conference on Computer Vision, ICCV 2015, pp.1520 - 1528, IEEE Computer Society and the Computer Vision Foundation (CVF), 2015-12-10 |
Learning Economic Indicators by Aggregating Multi-level Geospatial Information Park, Sungwon; Han, Sungwon; Ahn, Donghyun; Kim, Jaeyeon; Yang, Jaesurk; Lee, Susang; Hong, Seunghoon; et al, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.12053 - 12061, Association for the Advancement of Artificial Intelligence, 2022-02-22 |
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 |
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Kim, Jinwoo; Hong, Seunghoon; Nguyen, Dat Tien; Suleymanzade, Ayhan; An, Hyeokjun, Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
Learning Symmetrization for Equivariance with Orbit Distance Minimization Nguyen, Dat Tien; Kim, Jinwoo; Hong, Seunghoon, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality Jung, Whie; Yoo, Jaehoon; Ahn, Sungjin; Hong, Seunghoon, The Twelfth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2024-05-07 |
Learning to Generate Novel Classes for Deep Metric Learning Lee, Kyungmoon; Kim, Sungyeon; Hong, Seunghoon; Kwak, Suha, British Machine Vision Conference (BMVC), 2021, British Machine Vision Conference, 2021-11-22 |
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 |
MetaDTA: Meta-learning-based Drug-Target Binding Affinity Prediction Lee, Eunjoo; Yoo, Jiho; Lee, Huisun; Hong, Seunghoon, Machine Learning for Drug Discovery Workshop in conjunction with ICLR 2022, Machine Learning for Drug Discovery Workshop, 2022-04-29 |
Multi-Task Neural Processes Kim, Donggyun; Cho, Seongwoong; Lee, Wonkwang; Hong, Seunghoon, International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04-29 |
Multi-task neural processes for few-shot multi-task learning from incomplete data = 불완전한 데이터로부터의 소수샷 다중 태스크 학습을 위한 뉴럴 프로세스 기법 연구link Kim, Donggyun; Hong, Seunghoon; et al, 한국과학기술원, 2022 |
Multi-View Representation Learning via Total Correlation Objective Hwang, Hyeongjoo; Kim, Geon-hyeong; Hong, Seunghoon; Kim, Kee-Eung, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Neural information processing systems foundation, 2021-12-06 |
Neural Contrast Enhancement of CT Image Seo, Minkyo; Kim,Dongkeun; Lee, Kyungmoon; Hong, Seunghoon; Bae, Jae Seok; Kwak, Suha, IEEE Winter Conference on Applications of Computer Vision, WACV 2021, pp.3972 - 3981, Institute of Electrical and Electronics Engineers Inc., 2021-01-05 |
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification Cho, Yoonki; Kim, Woojae; Hong, Seunghoon; Yoon, Sung-Eui, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, IEEE Computer Society and the Computer Vision Foundation (CVF), 2022-06-22 |
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 |
Residual Neural Processes Lee, Byung-Jun; Hong, Seunghoon; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4545 - 4552, Association for the Advancement of Artificial Intelligence, 2020-02-11 |
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 |
SetVAE: learning hierarchical composition for generative modeling of set-structured data Kim, Jinwoo; Yoo, Jaehoon; Lee, Juho; Hong, Seunghoon, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.15054 - 15063, IEEE/CVF, 2021-06-21 |
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers Yoo, Jaehoon; Kim, Saemin; Lee, Doyup; Kim, Chiheon; Hong, Seunghoon, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, IEEE Computer Society and the Computer Vision Foundation (CVF), 2023-06-22 |
Towards end-to-end generative modeling of long videos with memory-efficient bidirectional transformers = 메모리 효율적 양방향 트랜스포머를 활용한 긴 비디오의 엔드 투 엔드 생성 모델링 연구link Yoo, Jaehoon; 유재훈; et al, 한국과학기술원, 2023 |
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Kim, Jinwoo; Oh. Saeyoon; Hong, Seunghoon, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Neural information processing systems foundation, 2021-12-06 |
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 |
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching Kim, Donggyun; Kim, Jinwoo; Cho, Seongwoong; Luo, Chong; Hong, Seunghoon, International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, ICLR, 2023-05-05 |
Variational Interaction Information Maximization for Cross-domain Disentanglement Hwang, Hyeongjoo; Kim, Geon-Hyeong; Hong, Seunghoon; Kim, Kee-Eung, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Neural information processing systems foundation, 2020-12-07 |
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision Hong, Seunghoon; Kwak, Suha; Han, Bohyung, IEEE SIGNAL PROCESSING MAGAZINE, v.34, no.6, pp.39 - 49, 2017-11 |
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