Minju Jung

According to our database, Minju Jung authored at least 15 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

CoRR, 2021

2020

Iterative VAE as a predictive brain model for out-of-distribution generalization.

Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre

CoRR, 2020

2019

Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory.

Minju Jung, Takazumi Matsumoto, Jun Tani

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition.

Minju Jung, Haanvid Lee, Jun Tani

Neural Networks, 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

Less-Forgetful Learning for Domain Expansion in Deep Neural Networks.

Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Selective Filter Transfer.

Minju Jung, Junmo Kim

Proceedings of the Robot Intelligence Technology and Applications 5, 2017

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

Less-forgetting Learning in Deep Neural Networks.

Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim

CoRR, 2016

A deep learning approach for seamless integration of cognitive skills for humanoid robots.

Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015

Making a More Reliable Classifier via Random Crop Pooling.

Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim

Proceedings of the Robot Intelligence Technology and Applications 4, 2015

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

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Multiple spatio-temporal scales neural network for contextual visual recognition of human actions.

Minju Jung, Jungsik Hwang, Jun Tani

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014