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| Publications |
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| Journal Articles | | |
| 1. |
Chien-Yao Wang and Hong-Yuan Mark Liao, "YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-Time Object Detection Systems," APSIPA Transactions on Signal and Information Processing, volume 13, number 1, November 2024. ::: |
| 2. |
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, "Designing Network Design Strategies Through Gradient Path Analysis," Journal of Information Science and Engineering , volume 39, number 4, pages 975-995, July 2023, Invited paper ::: |
| 3. |
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, "You Only Learn One Representation: Unified Network for Multiple Tasks," Journal of Information Science and Engineering , volume 39, number 3, pages 691-709, May 2023, Invited paper ::: |
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| Conference Papers | | |
| 1. |
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, "YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information," European Conference on Computer Vision (ECCV), October 2024. ::: |
| 2. |
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao, "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023. ::: |
| 3. |
C. Y. Wang, Alexey Bochkovskiy, H. Y. Mark Liao, "Scaled-YOLOv4: Scaling Cross Stage Partial Network," Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pages 13029-13038, IEEE, June 2021. ::: |
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