Dr. WAN Jia (万佳)
Research Output
- 2024
- Published
Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain
Shu, W., Wan, J. & Chan, A. B., May 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 5, p. 2882-2899Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6 - 2023
- Published
Modeling Noisy Annotations for Point-wise Supervision
Wan, J., Wu, Q. & Chan, A. B., Dec 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 12, p. 15065-15080Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - 2022
- Published
Kernel-based Density Map Generation for Dense Object Counting
Wan, J., Wang, Q. & Chan, A. B., Mar 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 3, p. 1357-1370 14 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 109 - Published
On Diversity in Image Captioning: Metrics and Methods
Wang, Q., Wan, J. & Chan, A. B., Feb 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 2, p. 1035-1049 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 36 - Published
Crowd Counting in the Frequency Domain
Shu, W., Wan, J., Tan, K. C., Kwong, S. & Chan, A. B., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. Institute of Electrical and Electronics Engineers, Inc., p. 19586-19595 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 66 - 2021
- Published
Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting
Wu, Q., Wan, J. & Chan, A. B., Oct 2021, MM ’21: Proceedings of the 29th ACM International Conference on Multimedia. New York, NY: Association for Computing Machinery, p. 658–666 (MM - Proceedings of the ACM International Conference on Multimedia).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 26 - Published
A Generalized Loss Function for Crowd Counting and Localization
Wan, J., Liu, Z. & Chan, A. B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2021. Institute of Electrical and Electronics Engineers, Inc., p. 1974-1983 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 192 - Published
Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition
Wan, J., Zhang, K., Li, H. & Chan, A., 2021, In: IEEE Transactions on Image Processing. 30, p. 5085-5095 11 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7 - Published
Fine-Grained Crowd Counting
Wan, J., Kumar, N. S. & Chan, A. B., 2021, In: IEEE Transactions on Image Processing. 30, p. 2114-2126Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 26 - Published
Progressive Unsupervised Learning for Visual Object Tracking
Wu, Q., Wan, J. & Chan, A. B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2021. Institute of Electrical and Electronics Engineers, Inc., p. 2992-3001 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 39 - 2020
- Published
Modeling Noisy Annotations for Crowd Counting
Wan, J. & Chan, A. B., Dec 2020, NeurIPS Proceedings: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Vol. 33.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 91 - 2019
- Published
Adaptive Density Map Generation for Crowd Counting
Wan, J. & Chan, A., Oct 2019, Proceedings - 2019 International Conference on Computer Vision. Institute of Electrical and Electronics Engineers, Inc., p. 1130-1139 9009065. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October, no. 2380-7504).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 147 - Published
Residual Regression with Semantic Prior for Crowd Counting
Wan, J., Luo, W., Wu, B., Chan, A. B. & Liu, W., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. Institute of Electrical and Electronics Engineers, Inc., p. 4031-4040 8954128. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 100 - Published
Robust Hierarchical Deep Learning for Vehicular Management
Wang, Q., Wan, J. & Li, X., May 2019, In: IEEE Transactions on Vehicular Technology. 68, 5, p. 4148-4156Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 53