Search Results for author: Jin Han

Found 6 papers, 1 papers with code

High-Fidelity Event-Radiance Recovery via Transient Event Frequency

1 code implementation CVPR 2023 Jin Han, Yuta Asano, Boxin Shi, Yinqiang Zheng, Imari Sato

High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding.

Learning Event Guided High Dynamic Range Video Reconstruction

no code implementations CVPR 2023 Yixin Yang, Jin Han, Jinxiu Liang, Imari Sato, Boxin Shi

Limited by the trade-off between frame rate and exposure time when capturing moving scenes with conventional cameras, frame based HDR video reconstruction suffers from scene-dependent exposure ratio balancing and ghosting artifacts.

Video Reconstruction

EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution

no code implementations ICCV 2021 Jin Han, Yixin Yang, Chu Zhou, Chao Xu, Boxin Shi

To reconstruct high-resolution intensity images from event data, we propose EvIntSR-Net that converts event data to multiple latent intensity frames to achieve super-resolution on intensity images in this paper.


UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging

no code implementations NeurIPS 2020 Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi

A conventional camera often suffers from over- or under-exposure when recording a real-world scene with a very high dynamic range (HDR).

Neuromorphic Camera Guided High Dynamic Range Imaging

no code implementations CVPR 2020 Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi

Reconstruction of high dynamic range image from a single low dynamic range image captured by a frame-based conventional camera, which suffers from over- or under-exposure, is an ill-posed problem.

Vocal Bursts Intensity Prediction

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