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Jin HAN       韩 金

I am currently a researcher at HUAWEI Noah's Ark Lab. I got my PhD degree in computer science from Graduate School of Information Science and Technology, the University of Tokyo in 2024. Before that, I recieved my Master degree from Department of Machine Intelligence, School of EECS, Peking University in 2021, and Bachelor degree from Wuyuzhang Honors College, Sichuan University in 2018. During my Master and PhD journey, I was fortunate to be supervised by Prof. Chao Xu, Prof. Boxin Shi, Prof. Yinqiang Zheng, and Prof. Imari Sato.

  hanjin1619@foxmail.com                                                             Google Scholar

Research Interests

My research interests include physics-based vision, computational photography, neuromorphic vision, low-level vision, etc.

News

  • 🏅 [2024/09] I was honored to be presented the Best Student Award in NII.
  • 🎓 [2024/09] I got my PhD degree from the University of Tokyo.
  • 🏆 [2024/06] Our EventPS paper was selected as the Best Paper Runner-up award in CVPR 2024.
  • 🎤 [2024/02] One paper was accepted by CVPR 2024 as Oral (top 3%).
  • 🏅 [2023/09] I was selected as a JSPS (日本学術振興会) Research Fellowship for Young Scientist.
  • 🎊 [2023/07] One paper was accepted by ACM-MM 2023.
  • ✨ [2023/02] Two papers were accepted by CVPR 2023.
  • 🎊 [2023/01] One paper was accepted by TIP.
  • 🎊 [2022/12] One paper was accepted by IJCV.
  • 🎊 [2022/12] One paper was accepted by T-PAMI.
  • 🏅 [2021/10] I was selected as the University of Tokyo Fellowship.
  • 🎓 [2021/07] I got my Master degree from the School of EECS, Peking University.

Publications

2024

EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu, Jieji Ren, Jin Han, Feishi Wang, Jinxiu Liang, and Boxin Shi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Best Paper Runner-up (2/2719)
[pdf] [code]

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-)
International Conference on Learning Representations (ICLR, 2023-)

Reviewer for Journals:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)


Website adapted from Shan You