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Jin HAN       韩 金

I am currently a PhD candidate at Graduate School of Information Science and Technology (IST), the University of Tokyo, supervised by Prof. Imari Sato. I recieved my Master degree in computer science from Department of Machine Intelligence, School of EECS, Peking University in 2021, co-supervised by Prof. Chao Xu and Prof. Boxin Shi. Before that, I received my Bachelor degree in computer science from Wuyuzhang Honors College, Sichuan University in 2018.

  hanjin1619@foxmail.com                                                             Google Scholar

Research Interests

My research interests include computational photography, event camera-based imaging, image restoration, etc.

Internship Experience

  • [2023/06 - Present] Research intern at Sony AI.
  • [2021/07 - 2021/11] Research intern at Beijing Academy of Artificial Intelligence (BAAI).

Publications

2023

Event-guided Frame Interpolation and Dynamic Range Expansion of Single Rolling Shutter Image
Guixu Lin, Jin Han, Mingdeng Cao, Zhihang Zhong, and Yinqiang Zheng
ACM International Conference on Multimedia (ACM MM), 2023
[pdf]

High-fidelity Event-Radiance Recovery via Transient Event Frequency
Jin Han, Yuta Asano, Boxin Shi, Yinqiang Zheng, and Imari Sato
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[pdf] [code]

Learning Event Guided High Dynamic Range Video Reconstruction
Yixin Yang, Jin Han, Jinxiu Liang, Imari Sato, and Boxin Shi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[pdf] [code]

Polarization Guided HDR Reconstruction via Pixel-wise Depolarization
Chu Zhou, Yufei Han, Minggui Teng, Jin Han, Si Li, Chao Xu, and Boxin Shi
IEEE Transactions on Image Processing (TIP), 2023
[pdf] [code]

Deblurring Low-Light Images with Events
Chu Zhou, Minggui Teng, Jin Han, Jinxiu Liang, Chao Xu, Gang Cao, and Boxin Shi
International Journal of Computer Vision (IJCV), 2023
[pdf] [code]

Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images
Jin Han, Yixin Yang, Peiqi Duan, Chu Zhou, Lei Ma, Chao Xu, Tiejun Huang, Imari Sato, and Boxin Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[pdf] [code]

2021

EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-resolution
Jin Han, Yixin Yang, Chu Zhou, Chao Xu, and Boxin Shi
International Conference on Computer Vision (ICCV), 2021
[pdf] [supp]

2020

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi
Advances in Neural Information Processing Systems (NeurIPS), 2020
[pdf] [supp] [code]

Neuromorphic Camera Guided High Dynamic Range Imaging
Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[pdf] [supp]

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, and Changshui Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2020
[pdf]

Academic Services

Reviewer for Conferences:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2022-)
International Conference on Computer Vision (ICCV, 2021-)
European Conference on Computer Vision (ECCV, 2022)
Neural Information Processing Systems (NeurIPS, 2023)

Reviewer for Journals:
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)


Website adapted from Shan You