I-Hau Yeh

According to our database, I-Hau Yeh authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

CoRR, 2024

2023

Designing Network Design Strategies Through Gradient Path Analysis.

Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh

J. Inf. Sci. Eng., May, 2023

You Only Learn One Representation: Unified Network for Multiple Tasks.

Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

J. Inf. Sci. Eng., March, 2023

2021

Exploring the power of lightweight YOLOv4.

Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, Youn-Long Lin

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

2020

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization.

Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao

CoRR, 2020

CSPNet: A New Backbone that can Enhance Learning Capability of CNN.

Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020