Jia Wan

About Jia Wan

Jia Wan, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of Computer Vision, Machine Learning, Crowd Counting, Biomedical Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Diffusion-based Data Augmentation for Object Counting Problems

Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images

The first visual object tracking segmentation vots2023 challenge results

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain

Task-Guided Biased Diffusion Models for Point Localization

Modeling noisy annotations for point-wise supervision

Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data

Jia Wan Information

University

Position

___

Citations(all)

1250

Citations(since 2020)

1141

Cited By

469

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Jia Wan Skills & Research Interests

Computer Vision

Machine Learning

Crowd Counting

Biomedical Image Analysis

Top articles of Jia Wan

Title

Journal

Author(s)

Publication Date

Diffusion-based Data Augmentation for Object Counting Problems

arXiv preprint arXiv:2401.13992

Zhen Wang

Yuelei Li

Jia Wan

Nuno Vasconcelos

2024/1/25

Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM

arXiv preprint arXiv:2402.17514

Jia Wan

Qiangqiang Wu

Wei Lin

Antoni B Chan

2024/2/27

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images

arXiv preprint arXiv:2401.13961

Jia Wan

Wanhua Li

Atmadeep Banerjee

Jason Ken Adhinarta

Evelina Sjostedt

...

2024/1/25

The first visual object tracking segmentation vots2023 challenge results

Matej Kristan

Jiří Matas

Martin Danelljan

Michael Felsberg

Hyung Jin Chang

...

2023

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain

IEEE Transactions on Pattern Analysis and Machine Intelligence

Weibo Shu

Jia Wan

Antoni B Chan

2023/11/23

Task-Guided Biased Diffusion Models for Point Localization

Jia Wan

Langechuan Liu

Yunxiang Mao

Pengyue Zhang

Antoni B Chan

...

2023/10/13

Modeling noisy annotations for point-wise supervision

IEEE Transactions on Pattern Analysis and Machine Intelligence

Jia Wan

Qiangqiang Wu

Antoni B Chan

2023/7/28

Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data

Yaowu Fan

Jia Wan

Yuan Yuan

Qi Wang

2023/6/4

Crowd counting in the frequency domain

Weibo Shu

Jia Wan

Kay Chen Tan

Sam Kwong

Antoni B Chan

2022

A generalized loss function for crowd counting and localization

Jia Wan

Ziquan Liu

Antoni B Chan

2021

Dynamic momentum adaptation for zero-shot cross-domain crowd counting

Qiangqiang Wu

Jia Wan

Antoni B Chan

2021/10/17

Angular-driven feedback restoration networks for imperfect sketch recognition

IEEE Transactions on Image Processing

Jia Wan

Kaihao Zhang

Hongdong Li

Antoni B Chan

2021/4/15

Progressive unsupervised learning for visual object tracking

Qiangqiang Wu

Jia Wan

Antoni B Chan

2021

Kernel-based density map generation for dense object counting

IEEE Transactions on Pattern Analysis and Machine Intelligence

Jia Wan

Qingzhong Wang

Antoni B Chan

2020/9/9

On diversity in image captioning: Metrics and methods

IEEE Transactions on Pattern Analysis and Machine Intelligence

Qingzhong Wang

Jia Wan

Antoni B Chan

2020/8/4

Fine-grained crowd counting

IEEE transactions on image processing

Jia Wan

Nikil Senthil Kumar

Antoni B Chan

2021/1/13

Modeling noisy annotations for crowd counting

Advances in Neural Information Processing Systems

Jia Wan

Antoni Chan

2020

See List of Professors in Jia Wan University(City University of Hong Kong)

Co-Authors

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