← Search

Diandian Guo

5 accepted papers

2026

Benchmarking Endoscopic Surgical Image Restoration and Beyond

CVPR 2026

In endoscopic surgery, a clear and high-quality visual field is critical for surgeons to make accurate intraoperative decisions. However, persistent visual degradation, including smoke generated by energy devices, lens fogging from thermal gradients, and lens contamination due to blood or tissue flu

Cited by 0SourcecodeScholar
2026

Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos

CVPR 2026

Intraoperative bleeding in laparoscopic surgery causes rapid obscuration of the operative field to hinder the surgical process and increases the risk of postoperative complications. Intelligent detection of bleeding areas can quantify the blood loss to assist decision-making, while locating bleeding

Cited by 0SourcecodeScholar
2025

Multi-View Incongruity Learning for Multimodal Sarcasm Detection

COLING 2025main

Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing MSD methods tend to rely on spurious correlations. These methods often mistakenly prioritize non-essential features yet still make correct predictions, demonstrating poor generalizability beyond training environme…

Cited by 1SourcePDFScholar
2025

Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver

AAAI 2025technical

Pringle maneuver (PM) in laparoscopic liver resection aims to reduce blood loss and provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas prolonged PM may cause ischemic injury. To comprehensively monitor this surgical procedure and provide timely warnings of in…

2024

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes

CVPR 2024highlight

The estimation of implicit cross-frame correspondences and the high computational cost have long been major challenges in video semantic segmentation (VSS) for driving scenes. Prior works utilize keyframes feature propagation or cross-frame attention to address these issues. By contrast we are the f…