Yo-Chung Lau

According to our database, Yo-Chung Lau authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Domain-Adaptive Mean Teacher for Category-Level Object Pose Estimation.

I-Ju Hsieh, Yo-Chung Lau, Peng-Yuan Kao, Shih-Ping Hung, Yi-Ping Hung

Proceedings of the ACM Multimedia Asia 2023, 2023

2022

A Flexible-Frame-Rate Vision-Aided Inertial Object Tracking System for Mobile Devices.

Yo-Chung Lau, Kuan-Wei Tseng, I-Ju Hsieh, Hsiao-Ching Tseng, Yi-Ping Hung

CoRR, 2022

2019

Deep convolution neural network with scene-centric and object-centric information for object detection.

Zong-Ying Shen, Shiang-Yu Han, Li-Chen Fu, Pei-Yung Hsiao, Yo-Chung Lau, Sheng-Jen Chang

Image Vis. Comput., 2019

Efficient Recognition and 6D Pose Tracking of Markerless Objects with RGB-D and Motion Sensors on Mobile Devices.

Sheng-Chu Huang, Wei-Lun Huang, Yi-Cheng Lu, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

3D Articulated Model Retrieval Using Depth Image Input.

Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

Retrieving 3D Objects with Articulated Limbs by Depth Image Input.

Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018