Publications
Full Publication List refer to Google scholar or ResearchGate
Selected Journal Papers
C. Cai, Y. Wang*, and K.-H. Yap, “Interactive Change-Aware Transformer Network for Remote Sensing Image Change Captioning,” Remote Sensing, vol. 15, no. 23, pp. 5611, 2024.
C. Cai, S. Wang, K.-H. Yap*, and Y. Wang, “Top-down Framework for Weakly-supervised Grounded Image Captioning,” Knowledge-Based Systems, pp. 111433, 2024.
G. Chen, Y. Zhao, Y. Wang*, and K.-H. Yap, “SSN: Stockwell Scattering Network for SAR Image Change Detection,” IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.
K. Wu, Q. Liu, Y. Wang, and Y. Yang*, “End-to-end Varifocal Multiview Images Coding Framework from Data Acquisition End to Vision Application End,” Optics Express, vol. 31, no. 7, pp. 11659-11679, 2023.
L. Tang, Y. Wang*, and L.-P. Chau, “Weakly-supervised part-attention and mentored networks for vehicle re-identification,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 12, pp. 8887-8898, 2022.
Y. Zhou, Y. Wang, and L.-P. Chau*, “Moving towards centers: Re-ranking with attention and memory for re-identification,” IEEE Transactions on Multimedia, 2022.
Y. Wang, J. Hou, X. Hou, and L.-P. Chau*, “A self-training approach for point-supervised object detection and counting in crowds,” IEEE Transactions on Image Processing, vol. 30, pp. 2876-2887, 2021.
Y. Wang, Z.-P. Bian, Y. Zhou, and L.-P. Chau*, “Rethinking and designing a high-performing automatic license plate recognition approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8868-8880, 2021.
Y. Wang, Z.-P. Bian, J. Hou, and L.-P. Chau*, “Convolutional neural networks with dynamic regularization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 5, pp. 2299-2304, 2021.
H. Zhuang, Y. Wang, Q. Liu, and Z. Lin*, “Fully decoupled neural network learning using delayed gradients,” IEEE Transactions on neural networks and learning systems, vol. 33, no. 10, pp. 6013-6020, 2021.
Y. Wang, H. Liu, and L.-P. Chau*, “Single underwater image restoration using adaptive attenuation-curve prior,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 3, pp. 992-1002, 2018.
Selected Conference Papers
W. Liu, Y. Wang*, K.-H. Yap, and L.-P. Chau, “Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9979-9988, 2023.
T. Liu, K. Wu, Y. Wang*, W. Liu, K.-H. Yap, and L.-P. Chau, “Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method,” Advances in Neural Information Processing Systems, vol. 36, 2023.
X. Hou, Y. Wang, and L.-P. Chau*, “Vehicle tracking using deep sort with low confidence track filtering,” in 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1-6, 2019.
Y. Wang, J. Hou, and L.-P. Chau*, “Object counting in video surveillance using multi-scale density map regression,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2422-2426, 2019.
PhD Thesis
- Y. Wang, “Dense prediction and deep learning in complex visual scenes,” in Nanyang Technological University, 2021.
* Corresponding authorship