Jinxiu Liang
Scholar

Jinxiu Liang

Google Scholar ID: wR2OMogAAAAJ
National Institute of Informatics
Computer VisionComputational PhotographyMachine Learning
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Citations & Impact
All-time
Citations
888
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
0
 
Publications
1 items
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
2025
Cited
0
Resume
Academic Achievements
  • Papers Published:
  • 1. SpikeDiff: Zero-shot High-Quality Video Reconstruction from Sub-millisecond Chromatic Spike Streams (ICCV, 2025)
  • 2. EventUPS: Uncalibrated Photometric Stereo Using an Event Camera (ICCV, 2025)
  • 3. Active Hyperspectral Imaging Using an Event Camera (CVPR, 2025)
  • 4. Detail-Preserving Diffusion Models for Low-Light Image Enhancement (IEEE Transactions on Circuits and Systems for Video Technology, 2025)
  • 5. Multi-Focus Image Fusion via Explicit Defocus Blur Modelling (AAAI, 2025)
  • 6. Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models (AAAI, 2025)
  • 7. Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain (NeurIPS, 2024)
  • 8. Latency Correction for Event-Guided Deblurring and Frame Interpolation (CVPR, 2024)
  • 9. Coherent Event Guided Low-Light Video Enhancement (ICCV, 2023)
  • 10. Recurrent Exposure Generation for Low-Light Face Detection (IEEE Transactions on Multimedia, 2022)
  • 11. Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors (IEEE Transactions on Circuits and Systems for Video Technology, 2022)
  • 12. Barzilai-Borwein-based adaptive learning rate for deep learning (Pattern Recognition Letters, 2019)
  • Awards:
  • 1. Aug, 2024 - Outstanding Reviewer Award, International Journal of Computer Vision (IJCV)
  • 2. Jun, 2024 - Best Paper Runners-Up, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 3. Feb, 2020 - Second Prize of Guangdong Science and Technology Progress Award
Research Experience
  • Affiliation: National Institute of Informatics
  • Research Projects: Not provided in detail
Education
  • Degree: Ph. D.
  • University: Not provided
  • Advisor: Not provided
Background
  • Research Interests: Computer Vision, Computational Photography
  • Research Areas: Informatics / Perceptual information processing / Computer Vision, Informatics / Perceptual information processing / Computational Photography
Miscellany
  • Personal Interests: Not provided