Results 1-10 of 21 (Search time: 0.004 seconds).
NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
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Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks Choi, Sungha; Kim, Joanne T.; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.9370 - 9380, IEEE Computer Society, 2020-06 | |
ST-GRAT: Spatio-Temporal Graph Attention Network for Traffic Forecasting Park, Cheonbok; Lee, Chunggi; Bahng, Hyojin; Tae, Yunwon; Jin, Seungmin; Kim, Kihwan; Ko, Sungahn; Choo, Jaegul, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, Association for Computing Machinery, 2020-10 | |
Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss Na, Sanghyeon; Yoo, Seungjoo; Choo, Jaegul, 30th British Machine Vision Association annual conference on machine vision, image processing, and pattern recognition, BMVC 2020, British Machine Vision Association (BMVA), 2020-09 | |
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension Back, Seohyun; Chinthakindi, Sai; Kedia, Akhil; Lee, Haejun; Choo, Jaegul, 8th International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations Group, 2020-04 | |
Knowledge Graph-based Question Answering with Electronic Health Records Park, Junwoo; Cho, Youngwoo; Lee, Haneol; Choo, Jaegul; Choi, Edward, Machine Learning for Healthcare Conference, Machine Learning for Healthcare, 2021-08-06 | |
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation Park, Sunghyun; Kim, Kangyeol; Lee, Junsoo; Choo, Jaegul; Lee, Joonseok; Kim, Sookyung; Choi, Yoonjae, 35th AAAI Conference on Artificial Intelligence, pp.2412 - 2422, AAAI, 2021-02-09 | |
Learning De-biased Representations with Biased Representations Bahng, Hyojin; Chun, Sanghyuk; Yun, Sangdoo; Choo, Jaegul; Oh, Seongjoon, 37th International Conference on Machine Learning, ICML 2020, pp.505 - 516, International Conference on Machine Learning Group, 2020-07 | |
End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data Kim, Jinhee; Kim, Taesung; Choi, Jang-Ho; Choo, Jaegul, 25th International Conference on Pattern Recognition (ICPR), pp.8849 - 8856, IEEE COMPUTER SOC, 2021-01 | |
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE Kim, Kangyeol; Park, Sunghyun; Lee, Junsoo; Lee, Joonseok; Kim, Sookyung; Choo, Jaegul; Choi, Edward, The 32nd British Machine Vision Conference, BMVC 2021, British Machine Vision Association (BMVA), 2021-11-24 | |
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space Kim, Beomsoo; Choi, Jang-Ho; Choo, Jaegul, The 13th Asian Conference on Machine Learning, ACML 2021, ACML, 2021-11-17 |
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