Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Pei, Jialun"'
Laparoscopic liver surgery poses a complex intraoperative dynamic environment for surgeons, where remains a significant challenge to distinguish critical or even hidden structures inside the liver. Liver anatomical landmarks, e.g., ridge and ligament
Externí odkaz:
http://arxiv.org/abs/2406.17858
Autor:
Lei, Long, Zhou, Jun, Pei, Jialun, Zhao, Baoliang, Jin, Yueming, Teoh, Yuen-Chun Jeremy, Qin, Jing, Heng, Pheng-Ann
A comprehensive guidance view for cardiac interventional surgery can be provided by the real-time fusion of the intraoperative 2D images and preoperative 3D volume based on the ultrasound frame-to-volume registration. However, cardiac ultrasound imag
Externí odkaz:
http://arxiv.org/abs/2406.14534
A comprehensive understanding of surgical scenes allows for monitoring of the surgical process, reducing the occurrence of accidents and enhancing efficiency for medical professionals. Semantic modeling within operating rooms, as a scene graph genera
Externí odkaz:
http://arxiv.org/abs/2404.09231
Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily relied on multi-stage learning, where the generated semantic scene grap
Externí odkaz:
http://arxiv.org/abs/2402.14461
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization and instance segmentation. To this end, inspired by query-based trans
Externí odkaz:
http://arxiv.org/abs/2308.07392
In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identify the precise order of all salient instances. Previous approaches und
Externí odkaz:
http://arxiv.org/abs/2308.00236
High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint category-agnostic foreground objects from natural scenes. The main challenge for DIS involves identifying the highly accurate dominant area while rendering detailed object structure.
Externí odkaz:
http://arxiv.org/abs/2307.14052
We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously calibrates depth and RGB features in the kernel and mask branches to gener
Externí odkaz:
http://arxiv.org/abs/2307.08098
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 pa
Externí odkaz:
http://arxiv.org/abs/2207.02255
Salient instance segmentation is a new challenging task that received widespread attention in the saliency detection area. The new generation of saliency detection provides a strong theoretical and technical basis for video surveillance. Due to the l
Externí odkaz:
http://arxiv.org/abs/2008.08246