Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Pixel-wise Crowd Understanding via Synthetic Data,” International Journal of Computer Vision (IJCV), vol. 129, pp. 225-245, 2021. [PDF] [Project/Code/Dataset]
Q. Wang, X. Lu, C. Zhang, Y. Yuan, and X. Li, “LSV-LP: Large-Scale Video-Based License Plate Detection and Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 1, pp. 752-767, 2023. [PDF] [Dataset]
Q. Wang, N. Guo, Z. Xiong, Z. Yin, and X. Li, “Gradient Matters: Designing Binarized Neural Networks via Enhanced Information-Flow,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 11, pp. 7551-7562, 2022. [PDF] [Code]
Q. Wang, J. Gao, W. Lin, and X. Li, “NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 43, no. 6, pp. 2141-2149, 2021. [Poject]
Q. Wang, M. Chen, F. Nie, and X. Li, “Detecting Coherent Groups in Crowd Scenes by Multiview Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 42, no. 1, pp. 46-58, 2020. [PDF]
Q. Wang, X. He, X. Jiang, and X. Li, “Robust Bi-stochastic Graph Regularized Matrix Factorization for Data Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 1, pp. 390-403, 2022. [PDF]
Q. Wang, Z. Qin, F. Nie, and X. Li, “C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction,” IEEE Transactions on Industrial Electronics (T-IE), vol. 68, no. 2, pp. 1684-1694, 2021. [PDF] [Code]
Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Learning from Synthetic Data for Crowd Counting in the Wild,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8190-8199, 2019. [PDF] [Project/Code/Dataset]
Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes,” IEEE Transactions on Image Processing (T-IP), vol. 28, no. 9, pp. 4376-4386, 2019. [PDF] [Code]
Q. Wang, J. Wan, F. Nie, B. Liu, C. Yan, and X. Li, “Hierarchical Feature Selection for Random Projection,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 5, pp. 1581-1586, 2019. [PDF]
Q. Wang, Z. Yuan, Q. Du and X. Li, “GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 57, no. 1, pp. 3-13, 2019. [PDF][Dataset Link1 Link2 ] [Code](Access Code: kou3)