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Cong Cao

6 papers hereh-index 7589 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV1
same name
  • Cong Cao — 11 papers, h 3
  • Cong Cao — 5 papers, h 1
  • Cong Cao — 5 papers
  • Cong Cao — 3 papers, h 4
  • Cong Cao — 2 papers
  • Cong Cao — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Zero-Shot Video Restoration and Enhancement with Text-to-Image Latent Diffusion Models and Multi-Modal References

Cong Cao, Huanjing Yue, Xin Liu +1

Zero-shot image restoration methods with text-to-image latent diffusion models have achieved great success in universal image restoration tasks without training. However, applying…

cs.CV2026

SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras

Huanjing Yue, Shangbin Xie, Cong Cao +4

RAW images preserve superior fidelity and rich scene information compared to RGB, making them essential for tasks in challenging imaging conditions. To alleviate the high cost of d…

cs.CV2026

Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models

Cong Cao, Huanjing Yue, Shangbin Xie +2

Although diffusion-based zero-shot image restoration and enhancement methods have achieved great success, applying them to video restoration or enhancement will lead to severe temp…

cs.CV2019

UG2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

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