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2020 – today
- 2023
[c4]I-Ju Hsieh
, Yo-Chung Lau, Peng-Yuan Kao, Shih-Ping Hung, Yi-Ping Hung:
Domain-Adaptive Mean Teacher for Category-Level Object Pose Estimation. MMAsia 2023: 25:1-25:8- 2022
- [i1]Yo-Chung Lau, Kuan-Wei Tseng, I-Ju Hsieh, Hsiao-Ching Tseng, Yi-Ping Hung:
A Flexible-Frame-Rate Vision-Aided Inertial Object Tracking System for Mobile Devices. CoRR abs/2210.12476 (2022)
2010 – 2019
- 2019
- [j1]Zong-Ying Shen, Shiang-Yu Han, Li-Chen Fu, Pei-Yung Hsiao, Yo-Chung Lau, Sheng-Jen Chang:
Deep convolution neural network with scene-centric and object-centric information for object detection. Image Vis. Comput. 85: 14-25 (2019) - [c3]Sheng-Chu Huang, Wei-Lun Huang, Yi-Cheng Lu, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu:
Efficient Recognition and 6D Pose Tracking of Markerless Objects with RGB-D and Motion Sensors on Mobile Devices. VISIGRAPP (1: GRAPP) 2019: 375-382 - 2018
- [c2]Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu:
3D Articulated Model Retrieval Using Depth Image Input. VISIGRAPP (Revised Selected Papers) 2018: 25-47 - [c1]Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu:
Retrieving 3D Objects with Articulated Limbs by Depth Image Input. VISIGRAPP (1: GRAPP) 2018: 101-111
Coauthor Index
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