Publications
Full Publication List refer to Google scholar or ResearchGate
Selected Conference Papers
[*: Corresponding Author, †: My Mentored Student]
Y. Su†, Y. Wang*, Q. Hu†, C. Yang, L.-P. Chau*, “ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction,” In CVPR, 2025.
J. Chen†, H. Xu, Y. Wang*, and L.-P. Chau*, “OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework.” In ICLR, 2025.
J. Lian†, J. Pan†, L. Wang, Y. Wang*, S. Mei*, and L.-P. Chau*, “Semantic Representation Attack against Aligned Large Language Models,” In NeurIPS, 2025.
L. Yao†, Y. Wang*, Y. Zhang†, M. Liu, and L.-P. Chau*. “GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting.” In ACM Multimedia, 2025.
C. Cai, T. Liu, J. Gao, W. Liu, K. Wu*, R. Wang, Y. Wang*, and S. C. Liew, “From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Open-vocabulary Situation Recognition,” In ACM Multimedia, 2025.
T. Liu, K.Wu, C. Cai†, Y. Wang, K.-H. Yap, and L.-P. Chau. “Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework.” In ACM Multimedia, 2025.
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 CVPR, 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,” NeurIPS, vol. 36, 2023.
Selected Journal Papers (Updated in 2022)
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.
PhD Thesis
- Y. Wang, “Dense prediction and deep learning in complex visual scenes,” in Nanyang Technological University, 2021.
* Corresponding authorship