Publications

CVPR 2020

  • Hypergraph Attention Networks for Multimodal Learning (Eun-Sol Kim, Woo-Young Kang, Yu-Jung Heo, Kyoung-Woon On, Byoung-Tak Zhang)

  • ICASSP 2020

  • Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning (Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang)
  • Digital Watermarking for Protecting Audio Classification Datasets (Wansoo Kim, Kyogu Lee)

  • AAAI 2020

  • Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang)
  • REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, Jungwoo Lee)

  • Clinical Psychological Science 2020

  • Anxiety Predicts Diminished Preference for Immediate Rewards in Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis (Nathaniel Haines, Theodore Beauchaine, Matthew Galdo, Andrew H Rogers, Hunter Hahn, Mark A. Pitt, Brandon M Turner, Woo-Young Ahn)

  • Behavior Research Methods 2020

  • ADOpy: A Python Package for Adaptive Design Optimization (Jaeyeong Yang, Mark A. Pitt, Woo-Young Ahn, Jay I Myung)

  • ICLR 2020

  • From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech (Hyeong-Seok Choi, Changdae Park, Kyogu Lee)

  • RA-L 2020

  • Learning Transformable and Plannable se(3) Features for Scene Imitation of a Mobile Service Robot (J.Hyeon Park, Jigang Kim, Younseok Jang, Inkyu Jang, H.Jin Kim

  • Nature Protocols 2020

  • Toward a unified framework for interpreting machine-learning models in neuroimaging (Lada Kohoutová, Juyeon Heo, Sungmin Cha, Sungwoo Lee, Taesup Moon, Tor D. Wager, Choong-Wan Woo)

  • Vision Research 2020

  • The stone-base illusion (Songjoo Oh)

  • ICPRAM 2020

  • Self-Training using selection network for Semi-Supervised Learning (Jisoo Jeong, Seungeui Lee, Nojun Kwak)

  • WACV 2020

  • SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder (Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak)

  • NeurIPS 2019

  • Consistency-based Semi-supervised Learning for Object detection (Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak)

  • EMNLP 2019

  • Dual Attention Networks for Visual Reference Resolution in Visual Dialog (Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang)
  • Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings (Hwiyeol Jo, Ceyda Cinarel)

  • ICCV 2019

  • Frame-to-Frame Aggregation of Active Regions inWeb Videos for Weakly Supervised Semantic Segmentation (Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon)

  • IROS 2019

  • Fast and Safe Policy Adaptation via Alignment-based Transfer (Jigang Kim, Seungwon Choi, Hyoun Jin Kim)

  • INTERSPEECH 2019

  • Adversarially Trained End-to-end Korean Singing Voice Synthesis System (Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee)

  • ISMIR 2019

  • AUDIO QUERY-BASED MUSIC SOURCE SEPARATION (Jie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee)

  • ICML 2019

  • EMI: Exploration with Mutual Information (Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song)
  • Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (Seungyong Moon, Gaon An, Hyun Oh Song)

  • CogSci 2019

  • Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models (Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang)

  • WearSys 2019

  • Towards Machine Learning with Zero Real-World Data (Cholmin Kang, Hyunwoo Jung, Youngki Lee)

  • ICML 2019 Workshop on Learning and Reasoning

  • Compositional Structure Learning for Sequential Video Data (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang)

  • ICCV 2019 2nd Workshop on Deep Learning for Visual SLAM

  • Spatial Perception by Object-Aware Visual Scene Representation (Chung-Yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang)