Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. - Minju Jung; Jungsik Hwang; Jun Tani (ICDL-EPIROB, 2014)

Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination. - Jungsik Hwang; Minju Jung; Naveen Madapana; Jinhyung Kim; Minkyu Choi; Jun Tani (Humanoids, 2015)

Making a More Reliable Classifier via Random Crop Pooling. - Yeakang Lee; Jiwhan Kim; Minju Jung; Junmo Kim 002 (RiTA, 2015)

A deep learning approach for seamless integration of cognitive skills for humanoid robots. - Jungsik Hwang; Minju Jung; Jinhyung Kim; Jun Tani (ICDL-EPIROB, 2016)

Less-forgetting Learning in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (CoRR, 2016)

Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. - Haanvid Lee; Minju Jung; Jun Tani (CoRR, 2016)

Selective Filter Transfer. - Minju Jung; Junmo Kim 002 (RiTA, 2017)

Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (AAAI, 2018)

Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model. - Minkyu Choi; Takazumi Matsumoto; Minju Jung; Jun Tani (CoRR, 2018)

Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. - Minju Jung; Haanvid Lee; Jun Tani (Neural Networks, 2018)

Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. - Haanvid Lee; Minju Jung; Jun Tani (IEEE Trans. Cogn. Dev. Syst., 2018)

Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. - Minju Jung; Takazumi Matsumoto; Jun Tani (IROS, 2019)

Iterative VAE as a predictive brain model for out-of-distribution generalization. - Victor Boutin; Aimen Zerroug; Minju Jung; Thomas Serre (CoRR, 2020)

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. - Matthew Ricci; Minju Jung; Yuwei Zhang 001; Mathieu Chalvidal; Aneri Soni; Thomas Serre (CoRR, 2021)

Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. - Jeffrey Frederic Queißer; Minju Jung; Takazumi Matsumoto; Jun Tani (Neural Comput., 2021)