Yueh-Cheng Liu

According to our database, Yueh-Cheng Liu authored at least 16 papers between 2019 and 2023.

Collaborative distances:

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

2023

Dual-Awareness Attention for Few-Shot Object Detection.

Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Wen-Chin Chen, Winston H. Hsu

IEEE Trans. Multim., 2023

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes.

Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Raw Image Deblurring.

Chih-Hung Liang, Yu-An Chen, Yueh-Cheng Liu, Winston H. Hsu

IEEE Trans. Multim., 2022

360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation.

Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun

IEEE Robotics Autom. Lett., 2022

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning.

Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data.

Guan-Rong Lu, Yueh-Cheng Liu, Tung-I Chen, Hung-Ting Su, Tsung-Han Wu, Winston H. Hsu

CoRR, 2021

Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining.

Yueh-Cheng Liu, Yu-Kai Huang, HungYueh Chiang, Hung-Ting Su, Zhe Yu Liu, Chin-Tang Chen, Ching-Yu Tseng, Winston H. Hsu

CoRR, 2021

S³: Learnable Sparse Signal Superdensity for Guided Depth Estimation.

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu

CoRR, 2021

Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection.

Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Winston H. Hsu

CoRR, 2021

ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation.

Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation.

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection.

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu

CoRR, 2020

Expanding Sparse Guidance for Stereo Matching.

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu

CoRR, 2020

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection.

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Indoor Depth Completion with Boundary Consistency and Self-Attention.

Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Unified Point-Based Framework for 3D Segmentation.

HungYueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu

Proceedings of the 2019 International Conference on 3D Vision, 2019