6 accepted papers
Surgical video datasets are essential for scene understanding, enabling procedural modeling and intra-operative support. However, these datasets are often heavily imbalanced, with rare actions and tools under-represented, which limits the robustness of downstream models. We address this challenge wi…
In this paper, we propose a new progressive pre-training method for image understanding tasks which leverages RGB-D datasets. The method utilizes Multi-Modal Contrastive Masked Autoencoder and Denoising techniques. Our proposed approach consists of two stages. In the first stage, we pre-train the mo…
Tracking of tissue in the surgical environment is often done via locating frame-to-frame keypoint correspondences, and then using these correspondences to warp a prior underlying model such as a spline, mesh, or embedded deformation. We introduce a novel learned model which takes keypoint correspond…
This paper describes the implementation of a heart motion compensation system on the da Vinci surgical system (Intuitive Surgical Inc.) with the da Vinci Research Kit, for the purpose of simulating minimally invasive coronary artery bypass surgery on the beating heart. A Novint Falcon device is used
The integration of eye-gaze tracking at the console of surgical robots has the potential to add both speed and functionality to the human-robot interface. In this paper, we present a novel eye gaze tracker that can be integrated as a simple retrofit to the da Vinci console. In particular, the eye tr…
This paper describes the implementation of a heart motion compensation system on the da Vinci surgical system (Intuitive Surgical Inc.) for coronary artery bypass surgery. By introducing a robot-assisted solution, this surgery could be performed completely minimally invasively and on a beating heart…