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Hiroaki Minoura
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2020 – today
- 2023
- [j2]Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, Hironobu Fujiyoshi:
Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module. IEEE Trans. Intell. Veh. 8(1): 836-850 (2023) - [c6]Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning. ICCV (Workshops) 2023: 1425-1434 - [c5]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. VISIGRAPP (5: VISAPP) 2023: 429-436 - 2022
- [c4]Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger:
Action Spotting in Soccer Videos Using Multiple Scene Encoders. ICPR 2022: 3183-3189 - 2021
- [j1]Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku:
Crowd Density Forecasting by Modeling Patch-Based Dynamics. IEEE Robotics Autom. Lett. 6(1): 287-294 (2021) - [c3]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger:
Action Spotting and Temporal Attention Analysis in Soccer Videos. MVA 2021: 1-6 - [c2]Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational Subgraph for Graph-based Path Prediction. MVA 2021: 1-5
2010 – 2019
- 2019
- [c1]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) 2019: 19-26 - [i1]Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku:
Crowd Density Forecasting by Modeling Patch-based Dynamics. CoRR abs/1911.09814 (2019)
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