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Published in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (IEEE TGRS), 2024
We propose DNTR, a novel framework for tiny object detection that combines a DeNoising Feature Pyramid Network with a Transformer-based R-CNN detector.
Recommended citation: Hou-I. Liu, Yu-Wen Tseng, Kai-Cheng Chang, Pin-Jyun Wang, Hong-Han Shuai, and Wen-Huang Cheng. "A denoising fpn with transformer r-cnn for tiny object detection." IEEE Transactions on Geoscience and Remote Sensing (2024).
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Published in AAAI Conference on Artificial Intelligence (AAAI), 2025
We propose MARE, a novel memory-augmented framework for 3D semantic scene completion that leverages historical information to enhance completion accuracy.
Recommended citation: Yu-Wen Tseng, Hou-I Liu, Kai-Cheng Chang, Pin-Jyun Wang, Hong-Han Shuai, and Wen-Huang Cheng. "Memory-Augmented Re-Completion for 3D Semantic Scene Completion." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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