78 citations · 122 across the 5 of their papers we have counts for
5 papers
CPS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation
Peng Liu, Guoyan Zheng
Semi-supervised learning (SSL) methods, which can leverage a large amount of unlabeled data for improved performance, has attracted increasing attention recently. In this paper, we…
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma +46
Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. Th…
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos
Xiaoyang Zou, Wenyong Liu, Junchen Wang +2
Phase recognition plays an essential role for surgical workflow analysis in computer assisted intervention. Transformer, originally proposed for sequential data modeling in natural…
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu +59
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works…
Robust Regression via Deep Negative Correlation Learning
Le Zhang, Zenglin Shi, Ming-Ming Cheng +5
Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning…