Zhihao Li
Scholar

Zhihao Li

Google Scholar ID: gWlYsj0AAAAJ
Nanyang Technological University
ISPimage/video coding
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Citations & Impact
All-time
Citations
329
 
H-index
7
 
i10-index
5
 
Publications
15
 
Co-authors
0
 
Contact
GitHubOpen ↗
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications:
  • - Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling (Arxiv'25)
  • - RF4D: Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes (Arxiv'25)
  • - Training-Free Text-Guided Image Editing with Visual Autoregressive Model (ICCV'25)
  • - From Chaos to Clarity: 3DGS in the Dark (NeurIPS'24)
  • - ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Mode (NeurIPS'24)
  • - Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers (ECCV'24)
  • - Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach (ICML'24)
  • - Efficient Visual Computing with Camera RAW Snapshots (T-PAMI'24)
  • - Token-based Spatiotemporal Representation of the Events (ICASSP'24)
  • - Rendering Nighttime Image Via Cascaded Color and Brightness Compensation (CVPRW'22)
  • - Robust white balance estimation using joint attention and angular loss optimization (ICMV'20)
  • - In-Camera Raw Compression: A New Paradigm from Image Acquisition to Display (Asilomar'20)
  • Awards:
  • - CVPR2024 Workshop: NTIRE 2024 RAW Burst Alignment and ISP Challenge - Rank 2
  • - CVPR2022 Workshop: NTIRE 2022 Night Photography Rendering Challenge - Rank 2
  • - CVPR2022 Workshop: PBVS 2022 Thermal Images Super-resolution Challenge (SSIM) - Rank 1
  • - International Illumination Estimation Challenge (IEC) - Rank 1
  • - CVPR2020 Workshop: NTIRE 2020 Real Image Denoising Challenge - Rank 6
Research Experience
  • Currently a PhD student at Nanyang Technological University, supervised by Prof. Bihan Wen.
Education
  • PhD: Nanyang Technological University, Singapore, Supervisor: Prof. Bihan Wen; Bachelor's and Master's degrees: Nanjing University, Electronic Science and Engineering, received in 2020 and 2023, respectively.
Background
  • Research interests: VAE-Based Compression, 3D vision, raw image processing, and computational photography. Actively seeking internships or exchange opportunities in AIGC, MLLM, and 3D.
Miscellany
  • Personal interests: Not specified
Co-authors
0 total
Co-authors: 0 (list not available)