Minju Jung

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 15

Top Topics

Temporal Scales

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Publications

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR (2021)
Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Comput. 33 (9) (2021)
Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR (2020)
Minju Jung, Takazumi Matsumoto, Jun Tani
Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. IROS (2019)
Minju Jung, Takazumi Matsumoto, Jun Tani
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. CoRR (2019)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI (2018)
Minkyu Choi, Takazumi Matsumoto, Minju Jung, Jun Tani
Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model. CoRR (2018)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks 105 (2018)
Haanvid Lee, Minju Jung, Jun Tani
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. 10 (4) (2018)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR (2017)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR (2017)
Minju Jung, Junmo Kim
Selective Filter Transfer. RiTA (2017)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-forgetting Learning in Deep Neural Networks. CoRR (2016)
Haanvid Lee, Minju Jung, Jun Tani
Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. CoRR (2016)
Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani
A deep learning approach for seamless integration of cognitive skills for humanoid robots. ICDL-EPIROB (2016)
Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination. CoRR (2015)
Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination. Humanoids (2015)
Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim
Making a More Reliable Classifier via Random Crop Pooling. RiTA (2015)
Minju Jung, Jungsik Hwang, Jun Tani
Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. ICDL-EPIROB (2014)