Dr. Jia Wan is a Professor at the Harbin Institute of Technology (Shenzhen) in the School of Computer Science and Technology. Before joining HITSZ, he was a Posdoc in the Statistical Visual Computing Laboratory (SVCL), University of California, San Diego, advised by Prof. Nuno Vasconcelos and at Boston College, supervised by Prof. Donglai Wei. He received the Ph.D degree in the Video, Image, and Sound Analysis Lab (VISAL), City University of Hong Kong, supervised by Prof. Antoni B. Chan.

He received the M.Sc. degree in the School of Computer Science and the Center for OPTical IMagery Analysis and Learning (OPTIMAL), supervised by Prof. Qi Wang, and B.Eng. degree at the Software Engineering School in Northwestern Polytechnical University, Xi’an, Shaanxi, China. In 2018, He was an intern at Tencent AI Lab in Shenzhen, working with Dr. Wenhan Luo and Dr. Baoyuan Wu.

His research interests include computer vision, intelligent transportation, crowd analysis, and brain image analysis.

Now looking for: postdocs, PhD and master students.

Modeling Noisy Annotations for Point-Wise Supervision

Jia Wan, Qiangqiang Wu, and Antoni B. Chan
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), to appear, 2023.

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain

Weibo Shu, Jia Wan, and Antoni B. Chan
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), to appear, 2023

Crowd Counting in the Frequency Domain

Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, and Antoni B. Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting

Qiangqiang Wu, Jia Wan, and Antoni B. Chan
ACM Multimedia (MM), 2021.

A Generalized Loss Function for Crowd Counting and Localization

Jia Wan, Ziquan Liu, and Antoni B. Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Progressive Unsupervised Learning for Visual Object Tracking

Qiangqiang Wu, Jia Wan, and Antoni B. Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Oral

Fine-Grained Crowd Counting

Jia Wan, Nikil Senthil Kumar, and Antoni B. Chan
IEEE Trans. Image Processing (TIP), 2021.
[pdf][code][dataset]

Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition

Jia Wan, Kaihao Zhang, Hongdong Li, and Antoni B. Chan
IEEE Trans. Image Processing (TIP), 2021.

Modeling Noisy Annotations for Crowd Counting

Jia Wan and Antoni B. Chan
Neural Information Processing Systems (NeurIPS), 2020.
[pdf][code][supplemental]

Kernel-based Density Map Generation for Dense Object Counting

Jia Wan, Qingzhong Wang, and Antoni B. Chan
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), to appear, 2020.
[pdf][code]

On Diversity in Image Captioning: Metrics and Methods

Qingzhong Wang, Jia Wan, and Antoni B. Chan
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), to appear, 2020.
[pdf]

Adaptive Density Map Generation for Crowd Counting

Jia Wan and Antoni B. Chan
Intl. Conf. on Computer Vision (ICCV), 2019.
[pdf]

Residual Regression with Semantic Prior for Crowd Counting

Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, and Wei Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[pdf][code]

Journal Reviewing: TPAMI, IJCV, TIP, TMM, TCYB, TITS, TGRS.
Conference Program Committees: NeurIPS 2020, CVPR 2019-2021, ICCV 2019, AAAI 2019-2021, ACMMM 2020, ACCV 2020.