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Adaptive Future Frame Prediction with Ensemble Network
Future frame prediction in videos is a challenging problem because video...
11/13/2020 ∙ by Wonjik Kim, et al. ∙
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Deep Reactive Planning in Dynamic Environments
The main novelty of the proposed approach is that it allows a robot to l...
10/31/2020 ∙ by Kei Ota, et al. ∙
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Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
Detecting sound source objects within visual observation is important fo...
07/28/2020 ∙ by Yoshiki Masuyama, et al. ∙
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YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud
Lidar based 3D object detection and classification tasks are essential f...
04/21/2020 ∙ by Xuanyu YIN, et al. ∙
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Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
In this paper, we propose an automatic labeled sequential data generatio...
03/11/2020 ∙ by Wonjik Kim, et al. ∙
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Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
In this paper, we consider the problem of building learning agents that ...
03/03/2020 ∙ by Kei Ota, et al. ∙
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Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
This paper presents an unsupervised method that trains neural source sep...
08/29/2019 ∙ by Yoshiaki Bando, et al. ∙
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Automatic Labeled LiDAR Data Generation based on Precise Human Model
Following improvements in deep neural networks, state-of-the-art network...
02/14/2019 ∙ by Wonjik Kim, et al. ∙
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