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Minju Jung
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2020 – today
- 2021
- [j3]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): 2353-2407 (2021) - [i9]Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre:
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR abs/2105.02838 (2021) - 2020
- [i8]Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre:
Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR abs/2012.00557 (2020)
2010 – 2019
- 2019
- [c7]Minju Jung, Takazumi Matsumoto, Jun Tani:
Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. IROS 2019: 1040-1047 - [i7]Minju Jung, Takazumi Matsumoto, Jun Tani:
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. CoRR abs/1903.04932 (2019) - 2018
- [j2]Minju Jung, Haanvid Lee, Jun Tani:
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks 105: 356-370 (2018) - [j1]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): 1058-1069 (2018) - [c6]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI 2018: 3358-3365 - [i6]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 abs/1803.02578 (2018) - 2017
- [c5]Minju Jung, Junmo Kim:
Selective Filter Transfer. RiTA 2017: 27-33 - [i5]Minju Jung, Haanvid Lee, Jun Tani:
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR abs/1705.08764 (2017) - [i4]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR abs/1711.05959 (2017) - 2016
- [c4]Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani:
A deep learning approach for seamless integration of cognitive skills for humanoid robots. ICDL-EPIROB 2016: 59-65 - [i3]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 abs/1602.01921 (2016) - [i2]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetting Learning in Deep Neural Networks. CoRR abs/1607.00122 (2016) - 2015
- [c3]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: 817-824 - [c2]Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim:
Making a More Reliable Classifier via Random Crop Pooling. RiTA 2015: 309-318 - [i1]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 abs/1507.02347 (2015) - 2014
- [c1]Minju Jung, Jungsik Hwang, Jun Tani:
Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. ICDL-EPIROB 2014: 235-241
Coauthor Index
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