Browse "CS-Conference Papers(학술회의논문)" by Author Hong, Seunghoon

Showing results 24 to 33 of 33

24
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

25
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

26
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

27
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

28
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

29
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

30
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

31
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

32
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

33
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

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