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Jialun Pei

6 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
2026

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

ICLR 2026poster

Ultrasound is a widely-used imaging modality critical to global healthcare, yet its interpretation remains challenging due to its varying image quality on operators, noises, and anatomical structures. Although large vision-language models (LVLMs) have demonstrated impressive multimodal capabilities…

Cited by 0SourceScholar
2025

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes

ICCV 2025poster

While the human visual system employs distinct mechanisms to perceive salient and camouflaged objects, existing models struggle to disentangle these tasks. Specifically, salient object detection (SOD) models frequently misclassify camouflaged objects as salient, while camouflaged object detection (C…

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…

2022

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

ECCV 2022poster

"We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS). OSFormer is based on two key designs. First, we design a location-sensing transformer (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queri…