Pin-Hao Huang

According to our database, Pin-Hao Huang authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Random Access Preamble Detection for OTFS.

Char-Dir Chung, Pin-Hao Huang, Wei-Chang Chen

IEEE Trans. Veh. Technol., March, 2026

2025

Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction.

Hyungjun Doh, Dong In Lee, Seunggeun Chi, Pin-Hao Huang, Kwonjoon Lee, Sangpil Kim, Karthik Ramani

CoRR, July, 2025

Real-time system for detecting high-emission diesel vehicles using deep learning.

Yu-Yu Yen, Chih-Chun Chiu, Pin-Hao Huang, Jui-Hung Kao

Int. J. Web Grid Serv., 2025

Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction.

Hyungjun Doh, Dong In Lee, Seunggeun Chi, Pin-Hao Huang, Kwonjoon Lee, Sangpil Kim, Karthik Ramani

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-Constructed Hierarchical Trees.

Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting.

Seunggeun Chi, Enna Sachdeva, Pin-Hao Huang, Kwonjoon Lee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data.

Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Deep Reinforcement Learning-Based Routing for Space-Terrestrial Networks.

Kai-Chu Tsai, Ting-Jui Yao, Pin-Hao Huang, Cheng-Sen Huang, Zhu Han, Li-Chun Wang

Proceedings of the 96th Vehicular Technology Conference, 2022

2021

Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation.

Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021